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https://www.labcanvas.com/diagrams/ear-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/ear-diagram/ear-diagram-labeled.pngEar diagram, labelledhttps://www.labcanvas.com/diagram-files/ear-diagram/ear-diagram-unlabeled.pngEar diagram without labels https://www.labcanvas.com/diagrams/digestive-system-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/digestive-system-diagram/digestive-system-diagram-labeled.pngDigestive system diagram, labelledhttps://www.labcanvas.com/diagram-files/digestive-system-diagram/digestive-system-diagram-unlabeled.pngDigestive system diagram without labels https://www.labcanvas.com/diagrams/heart-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/heart-diagram/heart-diagram-labeled.pngHeart diagram, labelledhttps://www.labcanvas.com/diagram-files/heart-diagram/heart-diagram-unlabeled.pngHeart diagram without labels https://www.labcanvas.com/diagrams/eye-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/eye-diagram/eye-diagram-labeled.pngHuman eye diagram, labelledhttps://www.labcanvas.com/diagram-files/eye-diagram/eye-diagram-unlabeled.pngHuman eye diagram without labels https://www.labcanvas.com/diagrams/neuron-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/neuron-diagram/neuron-diagram-labeled.pngNeuron diagram, labelledhttps://www.labcanvas.com/diagram-files/neuron-diagram/neuron-diagram-unlabeled.pngNeuron diagram without labels https://www.labcanvas.com/diagrams/microscope-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/microscope-diagram/microscope-diagram-labeled.pngMicroscope diagram, labelledhttps://www.labcanvas.com/diagram-files/microscope-diagram/microscope-diagram-unlabeled.pngMicroscope diagram without labels https://www.labcanvas.com/diagrams/water-cycle-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/water-cycle-diagram/water-cycle-diagram-labeled.pngWater cycle diagram, labelledhttps://www.labcanvas.com/diagram-files/water-cycle-diagram/water-cycle-diagram-unlabeled.pngWater cycle diagram without labels https://www.labcanvas.com/diagrams/photosynthesis-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/photosynthesis-diagram/photosynthesis-diagram-labeled.pngPhotosynthesis diagram, labelledhttps://www.labcanvas.com/diagram-files/photosynthesis-diagram/photosynthesis-diagram-unlabeled.pngPhotosynthesis diagram without labels https://www.labcanvas.com/diagrams/dna-structure-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/dna-structure-diagram/dna-structure-diagram-labeled.pngDNA structure diagram, labelledhttps://www.labcanvas.com/diagram-files/dna-structure-diagram/dna-structure-diagram-unlabeled.pngDNA structure diagram without labels https://www.labcanvas.com/diagrams/bacterial-cell-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/bacterial-cell-diagram/bacterial-cell-diagram-labeled.pngBacterial cell diagram, labelledhttps://www.labcanvas.com/diagram-files/bacterial-cell-diagram/bacterial-cell-diagram-unlabeled.pngBacterial cell diagram without labels https://www.labcanvas.com/diagrams/virus-diagram2026-10-26monthly0.8https://www.labcanvas.com/diagram-files/virus-diagram/virus-diagram-labeled.pngVirus diagram, labelledhttps://www.labcanvas.com/diagram-files/virus-diagram/virus-diagram-unlabeled.pngVirus diagram without labels https://www.labcanvas.com/tools/latex2026-11-08monthly0.8 https://www.labcanvas.com/tools/palettes2026-11-08monthly0.8 https://www.labcanvas.com/tools/scientific-figure-color-blindness-checker2026-11-08monthly0.8 https://www.labcanvas.com/tools/figure-panel-maker2026-11-08monthly0.8 https://www.labcanvas.com/tools/scientific-figure-legend-generator2026-11-08monthly0.8 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https://www.labcanvas.com/tools/scale-bar-adder2026-10-19monthly0.8 https://www.labcanvas.com/tools/gel-lane-labeler2026-10-19monthly0.8 https://www.labcanvas.com/tools/chemical-equation-balancer2026-10-19monthly0.8 https://www.labcanvas.com/tools/plasmid-map-maker2026-10-19monthly0.8 https://www.labcanvas.com/tools/sample-size-calculator2026-10-19monthly0.8 https://www.labcanvas.com/tools/concentration-converter2026-10-19monthly0.8 https://www.labcanvas.com/features2026-10-19monthly0.8 https://www.labcanvas.com/pricing2026-10-19monthly0.7 https://www.labcanvas.com/gallery2026-10-19monthly0.7 https://www.labcanvas.com/tutorials2026-10-19monthly0.7 https://www.labcanvas.com/documentation2026-10-19monthly0.7 https://www.labcanvas.com/about-us2026-10-19monthly0.5 https://www.labcanvas.com/editorial-guidelines2026-10-19monthly0.3 https://www.labcanvas.com/statistics-validation2026-10-19monthly0.5 https://www.labcanvas.com/image-analysis-validation2026-10-19monthly0.5 https://www.labcanvas.com/contact2026-10-19monthly0.4 https://www.labcanvas.com/sitemap2026-10-19monthly0.2 https://www.labcanvas.com/privacy2026-10-19monthly0.2 https://www.labcanvas.com/terms2026-10-19monthly0.2 https://www.labcanvas.com/blog2026-11-08weekly0.8 https://www.labcanvas.com/blog/imagej-vs-labcanvas2026-11-08monthly0.8https://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-cover.webpThe same synthetic nuclei image counted in two programs: on the left ImageJ 1.54f with 70 nuclei outlined in yellow and a Summary of count 70, average size 40.648 µm²; on the right LabCanvas Image Analysis with 70 numbered nuclei and the line 70 particles, mean 40.47 µm²https://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step6-result.webpImageJ 1.54f Summary window counting 70 nuclei, with the outlines over the nuclei imagehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-nuclei.webpLabCanvas Image Analysis Count tab with 70 numbered nuclei outlined and the threshold histogramhttps://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-histogram.webpImageJ Distribution window with a histogram of nanoparticle Feret diametershttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-particles.webpLabCanvas Image Analysis with 136 gold nanoparticles outlined and the Particles table with Mean, SD and n rowshttps://www.labcanvas.com/blog/imagej/free-western-blot-quantification-software-imagej-gels.webpImageJ Gels commands with eight lanes selected on the western blot samplehttps://www.labcanvas.com/blog/imagej/free-western-blot-quantification-software-imagej-fold-change.webpFold-change table built from ImageJ peak areashttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-blot.webpLabCanvas Image Analysis Blots tab with eight lanes, target and loading-control band rows and the band table with fold changehttps://www.labcanvas.com/blog/imagej/ij-set-scale.webpImageJ Set Scale dialog over the stage micrometerhttps://www.labcanvas.com/blog/imagej/ij-scale-bar.webpImageJ Scale Bar dialog over the stage micrometerhttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-scale.webpLabCanvas Image Analysis Scale section with the micrometer line, 0.65005 µm per pixel and a 200 µm scale barhttps://www.labcanvas.com/blog/imagej/colocalization-analysis-pearson-manders-2d-histogram-macro.webpImageJ two-channel composite, 2D histogram and Log window with Pearson r and thresholded Mandershttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-coloc.webpLabCanvas Image Analysis Colocalisation section with the 2D histogram, regression line, thresholds and coefficientshttps://www.labcanvas.com/blog/imagej/measure-fluorescence-intensity-imagej-cell-background-rois.webpImageJ Results table for one cell and three background squares on the nuclei samplehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-intensity.webpLabCanvas Image Analysis Measurements table for an oval around a nucleus and three background rectangleshttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-recipe.webpLabCanvas Image Analysis Recipe tab with four recorded steps and the count settings of the last step, beside the nuclei samplehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-macro-import.webpLabCanvas Image Analysis Share, export and ImageJ section with a pasted ImageJ macro and the list of lines not importedhttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-lif-picker.webpLabCanvas Image Analysis dialog listing the eight images in a Leica LIF file, with size, frames, bit depth and pixel sizehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-dicom.webpLabCanvas Image Analysis showing a CT slice opened from a DICOM file, with the display range and a pixel size of 0.66147 mm read from the filehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-objects3d.webpLabCanvas Image Analysis 3D objects settings and results beside a slice of the 3D nuclei sample with object outlineshttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-volume-viewer.webpLabCanvas Image Analysis volume viewer showing 13 nuclei in different colours, with the 3D objects table belowhttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-stardist.webpLabCanvas Image Analysis AI segmentation panel with 70 nuclei outlined by StarDist on the nuclei samplehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-stardist-dsb.webpLabCanvas Image Analysis with 479 nuclei outlined by StarDist on a crowded 1024 by 1024 test imagehttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-deconv.webpLabCanvas Image Analysis Deconvolve section with RL-TV chosen and a before and after preview of a synthetic widefield cellhttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-stitch.webpLabCanvas Image Analysis Stitch section with a 4 by 3 tile grid diagram, the fused image and the table of stitching linkshttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-large-slide.webpLabCanvas Image Analysis Large image panel for a 30,000 by 22,000 pixel Aperio SVS file with its resolution levelshttps://www.labcanvas.com/blog/imagej/imagej-vs-labcanvas-lc-large-region.webpLabCanvas Image Analysis with a rectangle drawn on a large slide image for Work on region and the minimap showing where it lies https://www.labcanvas.com/blog/image-analysis-microscopy-western-blot2026-11-08monthly0.8https://www.labcanvas.com/shots/analysis.webpLabCanvas Image Analysis counting nuclei: the image with numbered particle outlines, the Count panel on the right and the results table under the image https://www.labcanvas.com/blog/image-analysis-complete-guide2026-11-06monthly0.8https://www.labcanvas.com/analysis-examples/translocation.webpLabCanvas Image Analysis measuring nuclear translocation: forty numbered cells with their nuclei and cytoplasm rings outlined, and the assay panel with the cell count and the nuclear/cytoplasmic ratiohttps://www.labcanvas.com/analysis-examples/em-tem-np.webpNanoparticle size from TEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-sem-rods.webpNanorod length and width SEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-hrtem.webpLattice spacing from HRTEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-aao-pores.webpPore size and porosity AAO in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-grains.webpGrain size of a thin film in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-flakes.webp2D flake lateral size in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/stack.webpZ-stack projection in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/drift.webpDrift correction in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/ihc.webpColour deconvolution IHC in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/coloc.webpColocalisation in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/classifier.webpPixel classifier in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/spots.webpSpot detection in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/blot.webpWestern blot densitometry in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/translocation.webpNuclear vs cytoplasmic signal in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/foci.webpSpots per cell in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/colonies.webpColony counting in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/wound.webpWound healing scratch in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/frap.webpFRAP recovery in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/calcium.webpCalcium traces ΔF/F₀ in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/tracking.webpParticle and cell tracking in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/kymograph.webpKymograph in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/branching.webpBranching and skeleton in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/sholl.webpSholl analysis in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/tubes.webpTube formation in LabCanvas Image Analysis https://www.labcanvas.com/blog/how-to-use-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/how-to-use-imagej-cover.webpImageJ 1.54f with its menu bar and toolbar, a synthetic nuclei image with 70 nuclei outlined and numbered by Analyze Particles, and the Summary and Results tables giving the count, area and mean intensityhttps://www.labcanvas.com/blog/imagej/ij-main.webpThe ImageJ main window: menu bar and toolbarhttps://www.labcanvas.com/blog/imagej/ij-threshold.webpImageJ Threshold window with nuclei shown in redhttps://www.labcanvas.com/blog/imagej/ij-roi-manager.webpImageJ ROI Manager listing nucleihttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/blot.webpWestern blot densitometry in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-scale-bar-set-scale2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-scale-bar-set-scale-cover.webpImageJ Set Scale dialog over a synthetic stage micrometer: a line from 0 to 100 divisions measures 1,538.46 pixels, Known distance 1000 µm gives 1.5385 pixels per µm (0.65 µm per pixel), and a 200 µm scale bar sits in the lower right corner as an overlayhttps://www.labcanvas.com/blog/imagej/ij-set-scale.webpImageJ Set Scale dialog over a stage micrometer imagehttps://www.labcanvas.com/blog/imagej/ij-measure.webpImageJ Results table showing the length of a calibrated linehttps://www.labcanvas.com/blog/imagej/ij-scale-bar.webpImageJ Scale Bar dialog with a scale bar drawn on the imagehttps://www.labcanvas.com/analysis-examples/scale.webpSetting the scale from a stage micrometer in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/measure.webpLength and area in calibrated units in LabCanvas Image Analysis https://www.labcanvas.com/blog/western-blot-quantification-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/western-blot-quantification-imagej-cover.webpImageJ quantifying a synthetic western blot: eight lanes selected with Analyze › Gels, the Plot Lanes window with a target and a loading-control peak per lane, and a table of band areas and fold changes, lane 8 at 8.736-foldhttps://www.labcanvas.com/blog/imagej/ij-gels.webpImageJ Plot Lanes window with one profile per blot lanehttps://www.labcanvas.com/blog/imagej/western-blot-quantification-imagej-cover.webpImageJ with eight lanes selected on a western blot, the Plot Lanes profiles and a table of band areas and fold changehttps://www.labcanvas.com/analysis-examples/blot.webpWestern blot densitometry in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/count-cells-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/count-cells-imagej-cover.webpImageJ 1.54f counting the synthetic nuclei sample: 70 nuclei outlined in yellow and numbered after an Otsu threshold, Fill Holes and Watershed, the Analyze Particles dialog with a size of 7 to Infinity µm² and Summarize ticked, and the Summary table with a count of 70https://www.labcanvas.com/blog/imagej/ij-threshold.webpImageJ Threshold window with nuclei shown in redhttps://www.labcanvas.com/blog/imagej/ij-analyze-particles.webpImageJ Analyze Particles dialog over thresholded nucleihttps://www.labcanvas.com/blog/imagej/ij-count-result.webpImageJ Summary table counting 70 nucleihttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/classifier.webpPixel classifier in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/spots.webpSpot detection in LabCanvas Image Analysis https://www.labcanvas.com/blog/measure-length-area-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/measure-length-area-imagej-cover.webpImageJ measuring a synthetic SEM image of nanorods at 2.5 nm per pixel: three rods measured with straight lines (810.9, 585.5 and 850.2 nm in the Length column) and a fourth outlined with the wand (Area 17,050.0 nm²) in the Results tablehttps://www.labcanvas.com/blog/imagej/ij-measure.webpImageJ Results table showing the length of a calibrated linehttps://www.labcanvas.com/blog/imagej/ij-set-measurements.webpImageJ Set Measurements dialoghttps://www.labcanvas.com/blog/imagej/measure-length-area-imagej-cover.webpImageJ Results table with the Length of three lines and the Area of a wand outline on an SEM image of nanorodshttps://www.labcanvas.com/analysis-examples/measure.webpLength and area in calibrated units in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-sem-rods.webpNanorod length and width SEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysis https://www.labcanvas.com/blog/grain-size-analysis-sem2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/grain-size-analysis-sem-cover.webpImageJ Analyze Particles on a synthetic SEM image of a perovskite film: 118 whole grains outlined in yellow and numbered, grains cut by the edge left out, the Results table with the area and Feret diameter of each grain, and the Summary row with Count 118 and Average Size 39,344.6 nm²https://www.labcanvas.com/blog/imagej/grain-size-analysis-sem-threshold.webpImageJ Threshold window with the MaxEntropy method over an SEM image of a perovskite film, grains in redhttps://www.labcanvas.com/blog/imagej/grain-size-analysis-sem-cover.webpImageJ Analyze Particles result on the perovskite film: 118 grains outlined, Results and Summary tableshttps://www.labcanvas.com/analysis-examples/em-grains.webpGrain size of a thin film in LabCanvas Image Analysis https://www.labcanvas.com/blog/leaf-area-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/ij-leaf-result.webpImageJ 1.54f measuring a synthetic leaf with an insect hole beside a ruler: the scale set from 15 cm of the ruler, the leaf thresholded in red, and the Summary and Results tables giving one leaf of 36.111 cm² with Include holeshttps://www.labcanvas.com/blog/imagej/ij-color-threshold.webpImageJ Color Threshold windowhttps://www.labcanvas.com/blog/imagej/ij-leaf-result.webpImageJ measuring the area of a leaf beside a rulerhttps://www.labcanvas.com/analysis-examples/leaf.webpLeaf area beside a ruler in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-online2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-online-cover.webpImageJ 1.x windows as ImageJ.JS shows them in a browser tab, here in ImageJ 1.54f: the menu bar and toolbar, the Threshold window with the Default method and Dark background, a synthetic nuclei image with the nuclei in red, and a Summary table counting 70 nucleihttps://www.labcanvas.com/blog/imagej/ij-analyze-particles.webpImageJ Analyze Particles dialog over thresholded nucleihttps://www.labcanvas.com/analysis-examples/ipad.webpImage Analysis on an iPad-sized touch screen in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-alternatives2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-alternatives-cover.webpImageJ 1.54f counting the nuclei sample with Analyze Particles: seventy nuclei outlined in yellow and numbered, the Results table, and a Summary row of 70 nuclei with an average size of 40.394 µm²https://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/translocation.webpNuclear vs cytoplasmic signal in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/blot.webpWestern blot densitometry in LabCanvas Image Analysis https://www.labcanvas.com/blog/2d-flake-lateral-size2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-cover.webpImageJ 1.54f measuring a synthetic SEM image of MoS₂ flakes: 33 flakes outlined in yellow after Analyze Particles, and the Results table with the area, Feret diameter and MinFeret of each flakehttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-which-size.webpOne MoS2 flake with its Feret diameter, MinFeret and equivalent circle drawn over ithttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step1-open.webpImageJ window with the MoS2 flake SEM image open, the size in microns shown above the imagehttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step2-scale.webpImageJ Set Scale dialog showing 80 pixels per micronhttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step3-measurements.webpImageJ Set Measurements dialog with Area and Feret’s diameter tickedhttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step4-blur.webpImageJ Gaussian Blur dialog with sigma 2https://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step5-threshold.webpImageJ Threshold window with Otsu chosen and the flakes shown in redhttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step6-mask.webpImageJ binary mask of the flakes after Fill Holeshttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step7-analyze-particles.webpImageJ Analyze Particles dialog over the binary mask of the flakeshttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step8-results.webpImageJ Results and Summary tables for 33 MoS2 flakes, with the flake outlines on the original imagehttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step9-distribution.webpImageJ Distribution dialog with Feret chosen, 8 bins and a range of 0 to 2https://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-step9b-histogram.webpImageJ histogram of the Feret diameters of 33 flakeshttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-edges.webpTwo ImageJ results side by side: with edge flakes included 45 objects and excluded 33 flakeshttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-min-size.webpImageJ outlines with no minimum size thousands of specks and with a minimum of 0.03 square microns 33 flakeshttps://www.labcanvas.com/blog/imagej/2d-flake-lateral-size-blur.webpOne thin flake outlined without smoothing ragged and after a Gaussian blur of sigma 2 smoothhttps://www.labcanvas.com/analysis-examples/em-flakes.webp2D flake lateral size in LabCanvas Image Analysis https://www.labcanvas.com/blog/analyze-particles-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/analyze-particles-imagej-cover.webpImageJ Analyze Particles on a synthetic TEM image of gold nanoparticles: 136 particles outlined in yellow and numbered, the Results table with the area and Feret diameter of each, and the Summary row with Count 136, Average Size 133.855 nm² and mean Feret 13.777 nmhttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-dialog.webpImageJ Analyze Particles dialog with all twelve options numberedhttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-circularity.webpTwo TEM images with particle outlines, circularity filter off and onhttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-show-options.webpSix tiles showing the ImageJ Show options on TEM nanoparticleshttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-results.webpImageJ Results and Summary tables for 136 nanoparticleshttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-exclude-edges.webpTEM nanoparticles with Exclude on edges off and onhttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-include-holes.webpHollow nanoshells measured with Include holes off and onhttps://www.labcanvas.com/blog/imagej/analyze-particles-imagej-troubleshooting.webpThree runs of Analyze Particles: background thresholded, wrong size units, correcthttps://www.labcanvas.com/analysis-examples/em-tem-np.webpNanoparticle size from TEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/calcium-imaging-delta-f-over-f2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step7-dff-macro.webpImageJ calcium imaging analysis: the ΔF/F₀ macro in the editor, the stacked ΔF/F₀ traces of 20 cells from a synthetic GCaMP movie, and the Peaks table with F₀, peaks and maximum ΔF/F₀ per cellhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step1-open.webpImageJ window with the synthetic calcium movie at frame 6, one cell brighthttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step2-z-project.webpImageJ Z Project dialog with Standard Deviation chosenhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step3-threshold.webpImageJ Threshold window with Otsu on the standard deviation projection, cells in redhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step4-rois.webpImageJ calcium movie with 20 cell ROIs and a background square, and the ROI Managerhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step5-z-profile.webpImageJ Plot Z-axis Profile of one cell showing three calcium transientshttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step6-multi-measure.webpImageJ Results table from Multi Measure, one Mean column per cellhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-step7-dff-macro.webpImageJ macro editor with the ΔF/F₀ macro, the stacked traces of 20 cells and the Peaks tablehttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-traces.webpImageJ plot of the ΔF/F₀ traces of 20 cells, offset one above the other, with every detected peak markedhttps://www.labcanvas.com/blog/imagej/calcium-imaging-delta-f-over-f-f0-choice.webpImageJ plot of the ΔF/F₀ of one cell with two different F₀ choiceshttps://www.labcanvas.com/analysis-examples/calcium.webpCalcium traces ΔF/F₀ in LabCanvas Image Analysis https://www.labcanvas.com/blog/cellprofiler-vs-qupath-vs-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-cover.webpImageJ 1.54f after counting the synthetic nuclei sample: 70 nuclei outlined in yellow and the Summary window with a count of 70, total area 2845.326 µm² and an average size of 40.648 µm²https://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step1-open.webpImageJ with the synthetic nuclei image open, its size shown in micronshttps://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step2-8bit.webpImageJ nuclei image after conversion to 8-bithttps://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step3-threshold.webpImageJ Threshold window with Otsu and Dark background, nuclei in redhttps://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step4-watershed.webpImageJ binary mask of the nuclei after Fill Holes and Watershedhttps://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step5-analyze-particles.webpImageJ Analyze Particles dialog with size 7 to Infinity and Summarize tickedhttps://www.labcanvas.com/blog/imagej/cellprofiler-vs-qupath-vs-imagej-step6-result.webpImageJ Summary window counting 70 nuclei, with the outlines over the imagehttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysis https://www.labcanvas.com/blog/colocalization-analysis-pearson-manders2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/colocalization-analysis-pearson-manders-cover.webpImageJ 1.54f on a synthetic two-channel image: the green and magenta composite, the 2D histogram with the Costes thresholds (566 and 480) as cyan lines, and the macro’s result, Pearson’s r 0.529, tM1 0.220 and tM2 0.215https://www.labcanvas.com/blog/imagej/colocalization-analysis-pearson-manders-merge-channels.webpImageJ Merge Channels dialog with the two channels of the colocalisation samplehttps://www.labcanvas.com/blog/imagej/colocalization-analysis-pearson-manders-2d-histogram-macro.webpImageJ macro output: composite image, 2D histogram with threshold lines, and Pearson and Manders valueshttps://www.labcanvas.com/analysis-examples/coloc.webpColocalisation in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysis https://www.labcanvas.com/blog/colony-counter-online2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/colony-counter-online-result.webpImageJ counting colonies on a synthetic photo of a 60 mm dish: Analyze Particles outlines and numbers 60 colonies, and the Summary table gives a count of 60 and an average size of 1.275 mm²https://www.labcanvas.com/blog/imagej/colony-counter-online-threshold.webpImageJ Threshold window over a cleared dish with the colonies in redhttps://www.labcanvas.com/blog/imagej/colony-counter-online-result.webpImageJ Summary table counting 60 colonies, with numbered outlines on the platehttps://www.labcanvas.com/blog/imagej/colony-counter-online-watershed.webpFive pairs of touching colonies before and after ImageJ Watershedhttps://www.labcanvas.com/analysis-examples/colonies.webpColony counting in LabCanvas Image Analysis https://www.labcanvas.com/blog/contact-angle-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/contact-angle-imagej-angle-tool.webpImageJ measuring the contact angle of a sessile water drop with the Angle tool: lines along the baseline and the tangent at each contact point, and a Results table reading 72.0, 72.0 and 63.6 degreeshttps://www.labcanvas.com/blog/imagej/contact-angle-imagej-angle-tool.webpThe ImageJ Angle tool placed along the baseline and the tangent of a sessile drop, with the Results tablehttps://www.labcanvas.com/blog/imagej/contact-angle-imagej-spherical-cap.webpImageJ Results table with the width and height of the drop, outlined in yellowhttps://www.labcanvas.com/blog/imagej/contact-angle-imagej-drop-size.webpThree water drops of 1, 10 and 50 µL with the same 72 degree contact angle, and the spherical-cap estimate for eachhttps://www.labcanvas.com/analysis-examples/measure.webpLength and area in calibrated units in LabCanvas Image Analysis https://www.labcanvas.com/blog/count-foci-per-nucleus2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step4.webpImageJ 1.54f counting γH2AX foci on a synthetic image: thirty nuclei outlined in yellow with a white cross on every focus, an enlarged nucleus, and the Find Maxima dialog with a prominence of 300https://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step1.webpImageJ after Split Channels: DAPI nuclei and γH2AX foci side by sidehttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step2.webpImageJ Threshold window with Otsu on the DAPI channelhttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step3.webpImageJ Analyze Particles dialog over the nuclear maskhttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step4.webpImageJ Find Maxima dialog and the γH2AX channel with a cross on every focushttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step5.webpImageJ Find Maxima with Output type Single Points and the resulting points imagehttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step6.webpImageJ Process Math Divide dialog over the points imagehttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-step7.webpImageJ ROI Manager and Results table with RawIntDen, the foci count per nucleushttps://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-result.webpImageJ Distribution of foci per nucleus: n 30, mean 6.700, SD 4.203https://www.labcanvas.com/blog/imagej/count-foci-per-nucleus-prominence.webpOne nucleus with Find Maxima at prominence 100, 300 and 1000https://www.labcanvas.com/analysis-examples/foci.webpSpots per cell in LabCanvas Image Analysis https://www.labcanvas.com/blog/d-spacing-hrtem-lattice-fringes2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/d-spacing-hrtem-lattice-fringes-profile.webpImageJ Plot Profile across the lattice fringes of a synthetic HRTEM gold nanocrystal: a 21-pixel-wide line across the {111} fringes and the profile with the dark minima numbered 0 to 10, giving d = 2.36 nm ÷ 10 = 0.236 nmhttps://www.labcanvas.com/blog/imagej/d-spacing-hrtem-lattice-fringes-profile.webpImageJ Plot Profile across HRTEM lattice fringes with the dark minima numbered 0 to 10https://www.labcanvas.com/blog/imagej/d-spacing-hrtem-lattice-fringes-angle.webpThree ImageJ line profiles across the same lattice fringes: perpendicular, 30 degrees off with a thin line, and 30 degrees off with a wide linehttps://www.labcanvas.com/blog/imagej/d-spacing-hrtem-lattice-fringes-fft.webpImageJ FFT power spectrum of an HRTEM crystal with four spots marked and the Results table showing R and Thetahttps://www.labcanvas.com/analysis-examples/em-hrtem.webpLattice spacing from HRTEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/dab-ihc-quantification2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/dab-ihc-quantification-cover.webpImageJ 1.54f Color Threshold on a synthetic H-DAB section: hue 0–30 and saturation 40–255 in HSB select the brown DAB-positive cells, shown in red, 7.42% of the sectionhttps://www.labcanvas.com/blog/imagej/dab-ihc-quantification-color-threshold.webpImageJ Color Threshold window set to brown hues on a synthetic H-DAB sectionhttps://www.labcanvas.com/blog/imagej/dab-ihc-quantification-brown-area.webpThree panels: the synthetic H-DAB section, and ImageJ Color Threshold results at saturation 40 and 100https://www.labcanvas.com/blog/imagej/dab-ihc-quantification-od-nonlinear.webpChart: transmitted red, green and blue light against the amount of DAB in optical density, with the resulting colour striphttps://www.labcanvas.com/analysis-examples/ihc.webpColour deconvolution IHC in LabCanvas Image Analysis https://www.labcanvas.com/blog/feret-diameter-circularity2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/feret-diameter-circularity-cover.webpImageJ measuring nanorods in a synthetic SEM image: Analyze Particles outlines and numbers 36 rods, and the Results table lists each rod’s circularity, Feret (length), MinFeret (width), AR and solidityhttps://www.labcanvas.com/blog/imagej/feret-diameter-circularity-shapes.webpCircle, ellipse, rod, star and square with Feret, MinFeret and convex hull drawnhttps://www.labcanvas.com/blog/imagej/feret-diameter-circularity-results.webpImageJ Results table with the shape descriptors of the five shapeshttps://www.labcanvas.com/blog/imagej/feret-diameter-circularity-tem.webpImageJ Summary and Results tables with Feret, MinFeret, circularity and solidity for 136 gold nanoparticles in a TEM imagehttps://www.labcanvas.com/blog/imagej/feret-diameter-circularity-set-measurements.webpImageJ Set Measurements with Shape descriptors, Perimeter, Fit ellipse and Feret’s diameter tickedhttps://www.labcanvas.com/analysis-examples/em-tem-np.webpNanoparticle size from TEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-sem-rods.webpNanorod length and width SEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/fiji-stardist-cellpose-segmentation2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-cover.webpImageJ 1.54f on a synthetic image of 140 crowded nuclei: on the left, an Otsu threshold with Watershed outlines only 90 objects, merging touching nuclei, missing dim ones and flooding the bright corner; on the right, the true label image turned into ROIs outlines all 140 nucleihttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-open.webpImageJ window with the crowded nuclei sample, 166.4 × 166.4 microns, 512 × 512, 16-bithttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-threshold.webpImageJ Threshold dialog with Otsu and Dark background over the crowded nuclei, the bright corner and clumps shown in redhttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-mask.webpImageJ binary mask after Fill Holes and Watershed, with a flooded corner and partly split clumpshttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-analyze-particles.webpImageJ Analyze Particles dialog next to the mask, size, Summarize and Add to Manager markedhttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-threshold-result.webpImageJ Summary table with Count 90 and outlines over the crowded nucleihttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-properties.webpImageJ Image Properties dialog: 1 channel, 1 slice, 1 frame, pixel width 0.325 micronhttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-diameter.webpImageJ straight line across one nucleus and the Results table with Length 6.500https://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-label-image.webpImageJ label image with each nucleus in its own colour and a Log reading labels 1 to 140https://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-labels-to-rois.webpImageJ label image beside the original with 140 yellow outlines and the ROI Managerhttps://www.labcanvas.com/blog/imagej/fiji-stardist-cellpose-segmentation-measure.webpImageJ Results table with one row per nucleus and a Log reading 140 nuclei measured, mean area 24.60https://www.labcanvas.com/analysis-examples/classifier.webpPixel classifier in LabCanvas Image Analysis https://www.labcanvas.com/blog/fiji-stitching-tiles2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-overlap.webpImageJ 1.54f showing two neighbouring synthetic SEM tiles side by side: the right edge of tile 1 and the left edge of tile 2 are boxed in red, because they show the same 78-pixel strip of the samplehttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-image-sequence.webpImageJ Image Sequence dialog with the tile folder and Sort names numerically tickedhttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-make-montage.webpImageJ Make Montage dialog next to the tile stack, Columns 3, Rows 3, Scale factor markedhttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-naive-montage.webpImageJ montage of nine SEM tiles with visible seams and repeated grainshttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-overlap.webpImageJ: tile_01 and tile_02 side by side with the shared strip boxed on eachhttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-fd-math.webpImageJ FD Math dialog with Correlate chosen and two 128-pixel crops of the overlaphttps://www.labcanvas.com/blog/imagej/fiji-stitching-tiles-correlation-peak.webpImageJ correlation result with a bright peak and the Results table X 114 Y 64https://www.labcanvas.com/analysis-examples/em-grains.webpGrain size of a thin film in LabCanvas Image Analysis https://www.labcanvas.com/blog/fiji-vs-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/fiji-vs-imagej-about.webpImageJ 1.54f, the plain ImageJ 1.x download: its eight menus and toolbar, and Help › About ImageJ showing the version, the Java it runs on and the public-domain noticehttps://www.labcanvas.com/blog/imagej/fiji-vs-imagej-about.webpThe plain ImageJ 1.54f main window with its eight menus and toolbar, and the About ImageJ window showing the version, Java version and public-domain noticehttps://www.labcanvas.com/blog/imagej/ij-main.webpThe ImageJ main window: menu bar and toolbarhttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/ipad.webpImage Analysis on an iPad-sized touch screen in LabCanvas Image Analysis https://www.labcanvas.com/blog/frap-analysis-mobile-fraction2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-cover.webpImageJ FRAP analysis of a synthetic cell: frames before the bleach, just after it and recovered, with the bleach, cell and background ROIs, and the Curve Fitting result of an exponential recovery (mobile fraction 0.80, half-time 2.78 s)https://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step1-open.webpImageJ window with the synthetic FRAP movie at frame 6, the bleached spot darkhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step2-rois.webpImageJ FRAP image with bleach, cell and background ROIs, and the ROI Manager listing themhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step3-set-measurements.webpImageJ Set Measurements dialog with only Mean gray value tickedhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step4-more-menu.webpImageJ ROI Manager with the More menu open and Multi Measure highlightedhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step5-multi-measure.webpImageJ Multi Measure dialog with Measure all 60 slices and One row per slice tickedhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step6-results.webpImageJ Results table from Multi Measure with Meancell, Meanbleach and Meanbackground per framehttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step7-normalise.webpImageJ macro editor with the normalisation macro, the Results table with a Norm column, and the plot of the normalised recoveryhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step8-curve-fitting.webpImageJ Curve Fitting window with the post-bleach data pasted and Exponential Recovery chosenhttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-step9-fit.webpImageJ Curve Fitting result: an exponential recovery through the normalised FRAP datahttps://www.labcanvas.com/blog/imagej/frap-analysis-mobile-fraction-single-vs-double.webpImageJ plot of the reference, single-normalised and double-normalised FRAP curveshttps://www.labcanvas.com/analysis-examples/frap.webpFRAP recovery in LabCanvas Image Analysis https://www.labcanvas.com/blog/free-western-blot-quantification-software2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/free-western-blot-quantification-software-imagej-gels.webpImageJ 1.54f quantifying the synthetic western blot with Analyze › Gels: eight lane rectangles numbered on the blot (lane 1 with Select First Lane, lanes 2 to 8 with Select Next Lane) and the Gel Analyzer Options dialog with Invert peaks on for dark bandshttps://www.labcanvas.com/blog/imagej/free-western-blot-quantification-software-imagej-gels.webpImageJ with eight lane rectangles on a western blot and the Gel Analyzer Options dialoghttps://www.labcanvas.com/blog/imagej/ij-gels.webpImageJ Plot Lanes window with one profile per blot lanehttps://www.labcanvas.com/blog/imagej/free-western-blot-quantification-software-imagej-fold-change.webpImageJ table of target and loading-control areas per lane with the ratio and fold changehttps://www.labcanvas.com/analysis-examples/blot.webpWestern blot densitometry in LabCanvas Image Analysis https://www.labcanvas.com/blog/how-to-cite-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/how-to-cite-imagej-about-version.webpImageJ’s Help › About ImageJ window showing version 1.54f, with the version, the Java version and the macro getVersion() result outlinedhttps://www.labcanvas.com/blog/imagej/how-to-cite-imagej-about-version.webpImageJ About window showing version 1.54f, and the Log with the macro getVersion resulthttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-3d-projection2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-3d-projection-cover.webpImageJ 3D Projection dialog set to Brightest Point, Y-Axis, 0.50 micron slice spacing, 360 degrees in 10 degree steps with Interpolate ticked, beside four frames of the rotating projection of a synthetic bead Z-stack at 0, 30, 60 and 90 degreeshttps://www.labcanvas.com/blog/imagej/imagej-3d-projection-step1-open.webpImageJ window of the synthetic bead Z-stack at slice 8 of 15 with the slice sliderhttps://www.labcanvas.com/blog/imagej/imagej-3d-projection-step2-properties.webpImageJ Properties dialog of the bead stack: 15 slices, pixel width 0.2 micron, voxel depth 0.5https://www.labcanvas.com/blog/imagej/imagej-3d-projection-step3-dialog.webpImageJ 3D Projection dialog with Brightest Point, Y-Axis, slice spacing 0.50, rotation increment 10 and Interpolate tickedhttps://www.labcanvas.com/blog/imagej/imagej-3d-projection-step4-result.webpImageJ with the bead stack, now 8-bit, and the Projections window at frame 4 of 36https://www.labcanvas.com/blog/imagej/imagej-3d-projection-frames.webpSix frames of the ImageJ 3D projection of the bead stack at 0, 30, 60, 90, 120 and 150 degreeshttps://www.labcanvas.com/blog/imagej/imagej-3d-projection-interpolate.webpThe 90 degree view of the bead stack from ImageJ 3D Project with Interpolate off, showing separate stripes, and with Interpolate on, showing solid beadshttps://www.labcanvas.com/blog/imagej/imagej-3d-projection-orthogonal-views.webpImageJ Orthogonal Views of the bead stack: the XY image with a yellow crosshair on a bead, the XZ panel below and the YZ panel on the righthttps://www.labcanvas.com/analysis-examples/stack.webpZ-stack projection in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-basic-image-editing2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-cover.webpImageJ 1.54f rotating the synthetic nuclei sample by 15 degrees with Enlarge image and Preview ticked, above a Results table that compares the area, mean, minimum, maximum and pixel width after crop, rotate, resize, scale and 8-bit conversionhttps://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step1-measure.webpImageJ with the nuclei sample and a Results table row: Area 27688.961, Mean 1224.124, Min 316, Max 6232https://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step2-rectangle.webpImageJ nuclei image with a yellow 256 by 256 pixel rectangle selection in the middlehttps://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step3-crop.webpImageJ after Image › Crop: a 256 × 256 pixel image of 83.20 × 83.20 microns and a second Results row with area 6922.240https://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step4-rotate.webpImageJ Rotate dialog with angle 15, grid lines 1, Bilinear interpolation, Enlarge image and Preview ticked, and the rotated nuclei image behind a yellow gridhttps://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step5-size.webpImageJ Size dialog with width 256, height 256, Constrain aspect ratio and Average when downsizing ticked, Bilinear interpolationhttps://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step6-8bit.webpImageJ nuclei image converted to 8-bit and the Results table: mean 1224.124 before, 37.140 after, max 255https://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-step7-zoom.webpImageJ nuclei image zoomed to 300% with the navigator box in the corner and two identical Results rowshttps://www.labcanvas.com/blog/imagej/imagej-basic-image-editing-result-table.webpImageJ Results table comparing Original, Image Crop, Rotate 90 Degrees Right, Rotate 15 deg, Rotate 15 deg enlarge, Adjust Size 256, Scale x2 and Type 8-bithttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-deconvolution2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-deconvolution-cover.webpImageJ 1.54f montage of a synthetic test image: the known sample, the same blurred with a Gaussian PSF plus noise, the noise-only result of FD Math Deconvolve, and the sharp result of 30 Richardson–Lucy iterations, above an ImageJ plot in which two beads 6 pixels apart are resolved only after Richardson–Lucyhttps://www.labcanvas.com/blog/imagej/imagej-deconvolution-fd-math-convolve.webpImageJ FD Math dialog over the synthetic sample, with Image1, Operation and Image2 marked and the PSF window enlargedhttps://www.labcanvas.com/blog/imagej/imagej-deconvolution-fd-math-deconvolve.webpImageJ FD Math dialog set to Deconvolve, next to the blurred image and the PSFhttps://www.labcanvas.com/blog/imagej/imagej-deconvolution-inverse-result.webpImageJ result of FD Math Deconvolve: a grey pattern of noise and a Log with values from -8.205E8 to 1.007E9https://www.labcanvas.com/blog/imagej/imagej-deconvolution-rl-macro.webpImageJ macro editor with the Richardson-Lucy macro next to the blurred image and the PSFhttps://www.labcanvas.com/blog/imagej/imagej-deconvolution-profile.webpImageJ Richardson-Lucy result with a line across two beads, and a plot of both profileshttps://www.labcanvas.com/blog/imagej/imagej-deconvolution-compare.webpImageJ montage: known sample, blurred plus noise, FD Math Deconvolve, Richardson-Lucy 30 iterationshttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-fft-bandpass-edge-detection2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-cover.webpImageJ 1.54f on a synthetic nuclei image with horizontal stripes: the striped image, its FFT power spectrum, the bandpass filter, the filtered image with the stripes removed, Find Edges, and the edges thresholded and filled (68 objects)https://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-step1-open.webpImageJ window with the striped synthetic nuclei image, the stripes enlarged in an insethttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-step2-fft.webpImageJ striped nuclei image beside its FFT power spectrum, with the two stripe dots enlargedhttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-step3-bandpass.webpImageJ FFT Bandpass Filter dialog with 40 and 3 pixels typed inhttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-step4-stripes.webpImageJ Bandpass Filter dialog with Suppress stripes set to Horizontalhttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-step5-result.webpImageJ before and after the bandpass filter, with the filter shown on the righthttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-grid.webpFour versions of the nuclei image: original, bandpass 40/3, bandpass 10/3 and bandpass 40/10https://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-stripes-grid.webpStriped nuclei image filtered with no stripe suppression, Horizontal and Verticalhttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-edges-step1.webpImageJ nuclei image beside its Find Edges resulthttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-edges-step2.webpImageJ bandpassed nuclei image beside its Find Edges resulthttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-edges-step3.webpImageJ Threshold window with Otsu and Dark background on the edge imagehttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-edges-step4.webpImageJ outlines of the filled edge objects and the Summary table with 68 objectshttps://www.labcanvas.com/blog/imagej/imagej-fft-bandpass-edge-detection-edges-grid.webpSix edge images: Find Edges on the original, after bandpass, after Gaussian blur, on the striped image, after stripe removal, and the filled maskhttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-histogram-saturation2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-cover.webpImageJ 1.54f on a deliberately saturated copy of the synthetic nuclei image: in the HiLo lookup table with the display at 0 to 65535 the clipped nuclei are red, and the Analyze › Histogram window reads Max 65535 and Mode 65535https://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-histogram.webpImageJ Histogram window of the nuclei sample with N, Mean, StdDev, Bins, Max and Mode numberedhttps://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-clipped.webpImageJ Histogram window of the saturated copy with Max 65535 and Mode 65535 highlightedhttps://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-spike.webpImageJ plot of two histograms on a log scale: the unclipped data running to 93480 and the 16-bit copy with a spike at 65535https://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-hilo.webpThree versions of the nuclei image in the HiLo lookup table: the saturated copy with red nuclei, the original with no red, and the original after Auto contrast with a few red pixelshttps://www.labcanvas.com/blog/imagej/imagej-histogram-saturation-measure.webpImageJ Results table with Min and Max for the nuclei sample and its saturated copyhttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-lut2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-lut-cover.webpImageJ showing the synthetic nuclei sample in the Fire lookup table with a calibration bar from 316 to 5200, next to the Calibration Bar dialog with its location, colours, number of labels, decimal places, font size and Overlay optionshttps://www.labcanvas.com/blog/imagej/imagej-lut-grid.webpThe nuclei sample shown under 14 ImageJ lookup tables: Grays, Fire, Ice, Spectrum, 3-3-2 RGB, Red, Green, Blue, Cyan, Magenta, Yellow, Red/Green, HiLo and mpl-viridishttps://www.labcanvas.com/blog/imagej/imagej-lut-edit-lut.webpThe ImageJ Edit LUT window with the Fire table as a grid of 256 coloured cells, and its Open, Save, Set and Invert buttons numberedhttps://www.labcanvas.com/blog/imagej/imagej-lut-calibration-bar.webpImageJ Calibration Bar dialog next to the nuclei image in Fire with a bar labelled 316 to 5200https://www.labcanvas.com/blog/imagej/imagej-lut-colour-blind.webpTwo-channel sample in red and green, and in green and magenta, each next to a simulation of how a deuteranope sees ithttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-mac2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-mac-memory-threads.webpImageJ 1.54f main window with Edit › Options › Memory & Threads open: Maximum memory in MB and Parallel threads outlined, and the status bar showing the ImageJ and Java versionshttps://www.labcanvas.com/blog/imagej/imagej-mac-memory-threads.webpImageJ Memory and Threads dialog with Maximum memory and Parallel threads fields, under the ImageJ main windowhttps://www.labcanvas.com/blog/imagej/ij-main.webpThe ImageJ main window: menu bar and toolbarhttps://www.labcanvas.com/analysis-examples/ipad.webpImage Analysis on an iPad-sized touch screen in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-macros-batch-processing2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-result.webpImageJ 1.54f running a recorded macro: the macro editor with eight recorded lines, the Summary table with 70 nuclei and an average size of 40.394 µm², and the numbered outlines of the nucleihttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step1-recorder.webpImageJ Recorder window opened from Plugins › Macros › Record, empty, with Record set to Macro, the Name field and the Create button markedhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step2-open.webpImageJ with the nuclei sample open and the Recorder showing the line open/root/Images/nuclei.tif;https://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step3-threshold.webpImageJ Threshold window with Otsu chosen, Dark background ticked and the Apply button marked; the Recorder shows setAutoThresholdOtsu darkhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step4-binary.webpImageJ mask of the nuclei, white on black, and the Recorder showing Convert to Mask, Fill Holes and Watershedhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step5-analyze-particles.webpImageJ Analyze Particles dialog with size 7-Infinity, Show Outlines, Display results and Summarize ticked, next to the mask and the Recorderhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step6-create.webpImageJ Recorder with eight recorded lines from open to Analyze Particles, with the Create button markedhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-step7-run.webpImageJ macro editor with the recorded macro and the Run button markedhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-result.webpImageJ after running the recorded macro: the editor, the Summary table with Count 70 and Average Size 40.394, and the numbered outlineshttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-batch1-folder.webpA file dialog showing the folder /root/Images/in with three files: nuclei_01.tif, nuclei_02.tif and nuclei_03.tifhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-batch2-dialog.webpImageJ Batch Process dialog with input and output folders, TIFF output format, the recorded macro lines pasted without open, and the Process buttonhttps://www.labcanvas.com/blog/imagej/imagej-macros-batch-processing-batch3-summary.webpImageJ Summary table after Process › Batch › Macro with three rows, nuclei_03.tif, nuclei_01.tif and nuclei_02.tif, each with Count 70https://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-make-movie-from-stack2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-cover.webpImageJ 1.54f preparing a time-lapse movie: a synthetic filament time-lapse at frame 21 with a 10.0 s time stamp and a 10 µm scale bar, and the Scale Bar dialog with Overlay and Label all slices markedhttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step1-image-sequence.webpImageJ Import Image Sequence dialog with the frames folder, Sort names numerically ticked, beside the imported time-lapsehttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step2-properties.webpImageJ Properties dialog with 1 slice, 60 frames, pixel width 0.16 micron and frame interval 0.50 sechttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step3-label.webpImageJ Label dialog with Format 0, Interval field, Text field and Use overlay markedhttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step4-scale-bar.webpImageJ Scale Bar dialog with width 10 microns, Overlay and Label all slices marked, beside frame 21 with a 10.0 s time stamp and a 10 µm barhttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step5-animation.webpImageJ Animation Options dialog with the speed field, Start Animation ticked and OK marked, beside the labelled time-lapsehttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-step6-save-avi.webpImageJ Save as AVI dialog with JPEG compression and a frame rate of 10 fpshttps://www.labcanvas.com/blog/imagej/imagej-make-movie-from-stack-avi-frames.webpFrames at 0.0, 9.5, 19.5 and 29.5 seconds read back from the AVI saved by ImageJ, each with its time stamp and a 10 µm scale barhttps://www.labcanvas.com/analysis-examples/kymograph.webpKymograph in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-plot-profile2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-plot-profile-window.webpImageJ Plot Profile of a straight line across the nuclei sample: one peak per nucleus, two touching nuclei as a double peak, the List, Data, More and Live buttons, and the Data menu openedhttps://www.labcanvas.com/blog/imagej/imagej-plot-profile-window.webpImageJ Plot Profile window for a line across the nuclei sample, with the Data menu openedhttps://www.labcanvas.com/blog/imagej/imagej-plot-profile-line-width.webpTwo ImageJ profiles across HRTEM lattice fringes, one with a 1-pixel and one with a 30-pixel line, and the Line Width dialoghttps://www.labcanvas.com/blog/imagej/imagej-plot-profile-two-channels.webpImageJ: Plot Profile of one channel and a macro plot of both channels along the same line on the two-channel samplehttps://www.labcanvas.com/blog/imagej/imagej-plot-profile-rectangle.webpImageJ profile of a rectangle across the top row of bands in a western blot sample, with the Plots options dialoghttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-hrtem.webpLattice spacing from HRTEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-roi-manager2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-roi-manager-cover.webpImageJ 1.54f on the synthetic two-channel NF-κB sample: 40 nuclei found by Analyze Particles with Add to Manager, outlined and numbered on the image with Show All and Labels, and the ROI Manager listing them beside ithttps://www.labcanvas.com/blog/imagej/imagej-roi-manager-overview.webpImageJ ROI Manager listing 40 nuclei next to the two-channel image with numbered outlineshttps://www.labcanvas.com/blog/imagej/imagej-roi-manager-buttons.webpThe ImageJ ROI Manager window with each button numbered and explainedhttps://www.labcanvas.com/blog/imagej/imagej-roi-manager-more-menu.webpThe More menu of the ImageJ ROI Manager with Open, Save, OR Combine and Multi Measure markedhttps://www.labcanvas.com/blog/imagej/imagej-roi-manager-two-channels.webpTwo ImageJ Results tables, DAPI and p65, measured in the same 40 ROIshttps://www.labcanvas.com/blog/imagej/imagej-roi-manager-multi-measure.webpThe ImageJ Multi Measure dialog with Measure all 2 slices and One row per slicehttps://www.labcanvas.com/analysis-examples/translocation.webpNuclear vs cytoplasmic signal in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/measure.webpLength and area in calibrated units in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-threshold-methods2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-threshold-methods-grid.webpImageJ 1.54f threshold methods compared on a synthetic nuclei image: one tile per entry of the Threshold list, from Default and Huang to Triangle and Yen, thresholded pixels in red with each threshold value and %Areahttps://www.labcanvas.com/blog/imagej/imagej-threshold-methods-grid.webpThe nuclei sample under all 17 entries of the ImageJ Threshold list, thresholded pixels in redhttps://www.labcanvas.com/blog/imagej/imagej-threshold-methods-histogram.webpImageJ plot of the nuclei histogram on a log scale with the Percentile, Triangle, Li, Otsu, Moments and Shanbhag thresholds markedhttps://www.labcanvas.com/blog/imagej/imagej-threshold-methods-grid-sem.webpThe SEM grain sample under all 17 ImageJ threshold methods, dark boundaries selected in redhttps://www.labcanvas.com/blog/imagej/imagej-threshold-methods-dialog.webpThe ImageJ Threshold window with Otsu chosen, Dark background ticked and the controls numberedhttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/classifier.webpPixel classifier in LabCanvas Image Analysis https://www.labcanvas.com/blog/imagej-windows2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/imagej-windows-memory-threads.webpImageJ 1.54f Memory and Threads dialog (Edit › Options › Memory & Threads) with the maximum memory in MB, under the ImageJ main window whose status bar shows ImageJ 1.54f on 64-bit Java 21https://www.labcanvas.com/blog/imagej/imagej-windows-memory-threads.webpImageJ Memory and Threads dialog under the ImageJ main window, with the status bar showing the ImageJ and Java versionshttps://www.labcanvas.com/blog/imagej/ij-main.webpThe ImageJ main window: menu bar and toolbarhttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/kymograph-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/kymograph-imagej-velocity.webpImageJ kymograph of the synthetic transport sample made with Reslice, its five particle streaks measured with straight lines, and a Results table of velocities from −1.394 to 1.039 µm/shttps://www.labcanvas.com/blog/imagej/kymograph-imagej-reslice.webpImageJ Reslice dialog with a segmented line drawn along a curved filament in a time-lapsehttps://www.labcanvas.com/blog/imagej/kymograph-imagej-velocity.webpImageJ kymograph with five streaks measured with straight lines and a Results table with angle, length, distance, time and velocityhttps://www.labcanvas.com/blog/imagej/kymograph-imagej-streaks.webpThe kymograph made by ImageJ Reslice with its five particle streaks numberedhttps://www.labcanvas.com/analysis-examples/kymograph.webpKymograph in LabCanvas Image Analysis https://www.labcanvas.com/blog/maximum-intensity-projection2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/maximum-intensity-projection-cover.webpImageJ Z Project dialog over a synthetic bead Z-stack, slice 8 of 15 on screen: Start slice 1, Stop slice 15, and the Projection type list open with Max Intensity and Sum Slices markedhttps://www.labcanvas.com/blog/imagej/maximum-intensity-projection-z-project-dialog.webpImageJ Z Project dialog with the projection type list open, over the bead Z-stackhttps://www.labcanvas.com/blog/imagej/maximum-intensity-projection-six-methods.webpSix Z projections of the same bead stack in ImageJ: Max, Average, Sum, Standard Deviation, Min and Medianhttps://www.labcanvas.com/blog/imagej/maximum-intensity-projection-slice-vs-max.webpOne slice of the bead stack beside its maximum intensity projectionhttps://www.labcanvas.com/blog/imagej/maximum-intensity-projection-orthogonal-views.webpImageJ Orthogonal Views of the bead stack with XZ and YZ side views through one beadhttps://www.labcanvas.com/analysis-examples/stack.webpZ-stack projection in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/measure-fluorescence-intensity-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/measure-fluorescence-intensity-imagej-cell-background-rois.webpImageJ 1.54f measuring fluorescence on a synthetic 16-bit nuclei image: one cell outlined and three background squares from the ROI Manager, and the Results table with Area, Mean, IntDen and RawIntDen for eachhttps://www.labcanvas.com/blog/imagej/measure-fluorescence-intensity-imagej-set-measurements.webpImageJ Set Measurements dialog with Area, Mean gray value, Min and max, Integrated density and Display label tickedhttps://www.labcanvas.com/blog/imagej/measure-fluorescence-intensity-imagej-cell-background-rois.webpImageJ Results table for one cell and three background squares on the nuclei samplehttps://www.labcanvas.com/blog/imagej/measure-fluorescence-intensity-imagej-8bit-saturation-traps.webpImageJ Results table measuring the same cell after 8-bit conversion, Brightness/Contrast, RGB conversion and saturationhttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/translocation.webpNuclear vs cytoplasmic signal in LabCanvas Image Analysis https://www.labcanvas.com/blog/merge-channels-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/merge-channels-imagej-channels-tool.webpImageJ showing the two-channel sample as a green and magenta composite, with the Channels Tool set to Composite and its More menu open at Split Channels, Merge Channels and the channel colourshttps://www.labcanvas.com/blog/imagej/merge-channels-imagej-dialog.webpThe ImageJ Merge Channels dialog with its seven colour slots and optionshttps://www.labcanvas.com/blog/imagej/merge-channels-imagej-channels-tool.webpThe ImageJ Channels Tool beside a green and magenta composite, with its More menuhttps://www.labcanvas.com/blog/imagej/merge-channels-imagej-add-image.webpThe ImageJ Add Image overlay dialoghttps://www.labcanvas.com/blog/imagej/merge-channels-imagej-colour-blind.webpThe two channels in grey, a red and green merge and a green and magenta merge, and both merges as seen with deuteranopiahttps://www.labcanvas.com/analysis-examples/profile.webpLine intensity profile in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/coloc.webpColocalisation in LabCanvas Image Analysis https://www.labcanvas.com/blog/microscopy-image-integrity2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/microscopy-image-integrity-clipping.webpImageJ histograms of a synthetic western blot: on the left the contrast was pushed too far and applied, with 21% of pixels at 255 and 3.9% at 0; on the right a linear range of 15000 to 57000 converted to 8-bit, with nothing clippedhttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step1-duplicate.webpImageJ Duplicate dialog over the synthetic western blothttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step2-histogram.webpImageJ histogram of the 16-bit blot with min 16080 and max 56181https://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step3-brightness-contrast.webpImageJ Brightness/Contrast window with a display range of 15000 to 57000https://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step4-8bit.webpImageJ histogram of the 8-bit copy with min 7 and max 251https://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step5-crop.webpImageJ rectangle selection around the bands of the blot before croppinghttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-step6-save.webpTwo ImageJ windows: the 16-bit original and the cropped 8-bit figure copyhttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-selective.webpImageJ blot with only one boxed region adjusted wrong and the whole image adjusted alike righthttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-clipping.webpOver-adjusted blot with a clipped histogram wrong and a linear stretch with nothing clipped righthttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-gamma.webpThe blot with a linear adjustment and with gamma 0.5 appliedhttps://www.labcanvas.com/blog/imagej/microscopy-image-integrity-splice.webpA band copied into lane 1 wrong and a removed lane marked by a black line righthttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/nanoparticle-size-distribution-tem2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-cover.webpImageJ 1.54f on the synthetic TEM image of gold nanoparticles: 136 particles outlined in yellow after Otsu, Fill Holes, Watershed and Analyze Particles, the Distribution histogram of Feret diameters (n 136, mean 13.777 nm, SD 1.585 nm) and the Results table with one row per particlehttps://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-properties.webpImageJ Image Properties dialog showing a pixel width of 0.25 nmhttps://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-threshold.webpImageJ Threshold window with Otsu selecting dark nanoparticles in redhttps://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-watershed.webpTouching nanoparticles outlined before and after watershedhttps://www.labcanvas.com/blog/imagej/nanoparticle-size-distribution-tem-histogram.webpImageJ Distribution window: histogram of Feret diameters with statisticshttps://www.labcanvas.com/analysis-examples/em-tem-np.webpNanoparticle size from TEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/nanowire-length-aspect-ratio-sem2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-result.webpImageJ 1.54f measuring nanorods on a synthetic SEM image: 36 rods outlined in cyan and numbered, rods cut by the frame outlined in orange and left outhttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step1.webpImageJ Properties dialog showing a pixel width of 2.5 nm for the SEM imagehttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step2.webpImageJ Threshold window with Otsu selecting the bright nanorods in redhttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step3.webpImageJ Set Measurements dialog with Area, Fit ellipse, Shape descriptors and Feret diameter tickedhttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step4.webpImageJ Analyze Particles dialog over the nanorod maskhttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step5.webpImageJ Results table with Feret, MinFeret and AR columns for each nanorodhttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step6.webpImageJ Distribution of nanorod lengths: n 36, mean 496.719, SD 154.554https://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-step7.webpImageJ straight line from tip to tip of one nanorod and its Length in the Results tablehttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-result.webpImageJ overlay of the 36 measured nanorods in cyan and the edge rods in orangehttps://www.labcanvas.com/blog/imagej/nanowire-length-aspect-ratio-sem-watershed.webpNanorod mask without and with Watershedhttps://www.labcanvas.com/analysis-examples/em-sem-rods.webpNanorod length and width SEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/neurite-length-skeleton-analysis2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/neurite-length-skeleton-analysis-result.webpImageJ skeleton of two synthetic branched cells after Process › Binary › Skeletonize, beside the length macro table: 1,719 skeleton pixels, 24 end points, 68 junction pixels, 343.8 µm by pixel count and 401.5 µm with steps of 1 and 1.414, against 383.2 µm drawnhttps://www.labcanvas.com/blog/imagej/neurite-length-skeleton-analysis-threshold.webpImageJ Threshold dialog with the Otsu method over a fluorescence image of two branched cells shown in redhttps://www.labcanvas.com/blog/imagej/neurite-length-skeleton-analysis-steps.webpFour panels: original fluorescence image, binary mask, skeleton, and an enlarged piece of the skeleton showing straight and diagonal stepshttps://www.labcanvas.com/blog/imagej/neurite-length-skeleton-analysis-result.webpImageJ skeleton of two branched cells beside a table of skeleton pixels, end points, junction pixels and two length estimateshttps://www.labcanvas.com/analysis-examples/branching.webpBranching and skeleton in LabCanvas Image Analysis https://www.labcanvas.com/blog/nuclear-cytoplasmic-ratio2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step7.webpImageJ 1.54f measuring the nuclear/cytoplasmic ratio on a synthetic p65 image: forty cells with the nucleus outlined in cyan and a cytoplasm ring in yellow, numbered, beside a Results table of nucleus mean, ring mean and N/C for each cellhttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step1.webpImageJ after Split Channels: the DAPI channel and the p65 channel side by sidehttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step2.webpImageJ Threshold window with Otsu and Dark background on the DAPI channelhttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step3.webpImageJ Analyze Particles dialog over the nuclear maskhttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step4.webpImageJ Results table with the mean of an empty background rectanglehttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step5.webpImageJ Enlarge dialog with 0.65 microns over one nucleus on the p65 imagehttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step6.webpImageJ Make Band dialog and the resulting ring around a nucleushttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-step7.webpImageJ Results table with nucleus mean, ring mean and N/C for each cell, beside the p65 image with nuclei and rings drawnhttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-result.webpImageJ Distribution histogram of the N/C ratio for 40 cellshttps://www.labcanvas.com/blog/imagej/nuclear-cytoplasmic-ratio-rings.webpThree ways to sample the cytoplasm of one cell in ImageJ: a thin ring on the nucleus edge, a ring after a gap, and the whole cell tracedhttps://www.labcanvas.com/analysis-examples/translocation.webpNuclear vs cytoplasmic signal in LabCanvas Image Analysis https://www.labcanvas.com/blog/open-czi-nd2-files-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/open-czi-nd2-files-imagej-properties.webpImageJ 1.54f Image › Properties on a synthetic 16-bit nuclei image saved as TIFF: pixel width and height 0.325 micron read from the file, and the title bar giving 166.40 × 166.40 micronshttps://www.labcanvas.com/blog/imagej/open-czi-nd2-files-imagej-unsupported-format.webpImageJ error dialog: Unsupported format or file not found, for a file named Experiment_01.nd2https://www.labcanvas.com/blog/imagej/open-czi-nd2-files-imagej-properties.webpImageJ Image Properties dialog showing a pixel width of 0.325 micron for a TIFFhttps://www.labcanvas.com/blog/imagej/open-czi-nd2-files-imagej-show-info.webpImageJ Show Info window listing width and height in microns, resolution, pixel size and bit depthhttps://www.labcanvas.com/blog/imagej/open-czi-nd2-files-imagej-properties-jpeg.webpImageJ Image Properties dialog for the same image saved as JPEG: pixel width 1, unit pixelhttps://www.labcanvas.com/analysis-examples/measure.webpLength and area in calibrated units in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/stack.webpZ-stack projection in LabCanvas Image Analysis https://www.labcanvas.com/blog/open-dicom-imagej2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/open-dicom-imagej-measure-hu.webpImageJ 1.54f with a synthetic CT phantom opened from a DICOM series as a 12-slice stack: two oval ROIs and the Results table, 40.2 HU in soft tissue and -799.6 HU in an air-filled regionhttps://www.labcanvas.com/blog/imagej/open-dicom-imagej-open.webpImageJ window showing a DICOM slice of a synthetic CT phantom, title 179.2 x 179.2 mm, 256 x 256, 16-bithttps://www.labcanvas.com/blog/imagej/open-dicom-imagej-show-info.webpImageJ Info window listing DICOM tags next to the imagehttps://www.labcanvas.com/blog/imagej/open-dicom-imagej-image-sequence.webpImageJ Image Sequence dialog with the DICOM series folder and Sort names numerically tickedhttps://www.labcanvas.com/blog/imagej/open-dicom-imagej-stack.webpImageJ stack window with slice 6 of 12 of the DICOM series and its sliderhttps://www.labcanvas.com/blog/imagej/open-dicom-imagej-measure-hu.webpImageJ slice with two oval ROIs and the Results table: 40.2 and -799.6https://www.labcanvas.com/blog/imagej/open-dicom-imagej-compressed-error.webpImageJ error: ImageJ cannot open compressed DICOM images. Transfer Syntax UID = 1.2.840.10008.1.2.5https://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/particle-tracking-msd2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/particle-tracking-msd-z-project.webpImageJ Z Project dialog set to Max Intensity over frames 1 to 50 of a synthetic particle time-lapse, and the maximum projection showing the path of every particle as a trailhttps://www.labcanvas.com/blog/imagej/particle-tracking-msd-find-maxima.webpImageJ Find Maxima dialog over the first frame of the particle time-lapse, with the Results table of X and Y positionshttps://www.labcanvas.com/blog/imagej/particle-tracking-msd-z-project.webpImageJ Z Project dialog with Max Intensity, and the maximum projection showing every particle path as a trailhttps://www.labcanvas.com/blog/imagej/particle-tracking-msd-frames-grid.webpFour panels: frame 1, frame 50, the maximum projection and the 40 linked tracks in colourhttps://www.labcanvas.com/blog/imagej/particle-tracking-msd-plot.webpImageJ MSD table and plot: MSD against lag time with a straight-line fit through the first four lagshttps://www.labcanvas.com/analysis-examples/tracking.webpParticle and cell tracking in LabCanvas Image Analysis https://www.labcanvas.com/blog/porosity-pore-size-sem-image2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/porosity-pore-size-sem-image-cover.webpImageJ measuring a sample SEM image of anodic alumina: 160 pores outlined in yellow, the Analyze Particles dialog, a Results row with %Area 34.666 (the porosity, Otsu cut at 100) and a Summary of 160 pores with an average size of 3,098.564 nm²https://www.labcanvas.com/blog/imagej/porosity-pore-size-sem-image-set-measurements.webpImageJ Set Measurements with Area fraction and Limit to threshold tickedhttps://www.labcanvas.com/blog/imagej/porosity-pore-size-sem-image-area-fraction.webpImageJ Threshold window and Results row with %Area 34.666 on an AAO imagehttps://www.labcanvas.com/blog/imagej/porosity-pore-size-sem-image-pores.webpImageJ Analyze Particles result on the AAO image: 160 pores and their Summaryhttps://www.labcanvas.com/blog/imagej/porosity-pore-size-sem-image-size-filter.webpThree crops of the AAO image: no size filter, 500 nm² filter, median filter firsthttps://www.labcanvas.com/analysis-examples/em-aao-pores.webpPore size and porosity AAO in LabCanvas Image Analysis https://www.labcanvas.com/blog/pyimagej-python2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/pyimagej-python-cover.webpImageJ 1.54f with the synthetic nuclei sample, the count-nuclei.ijm macro open in the macro editor, and the Results table after running it: 70 rows and a mean area of 40.394 µm²https://www.labcanvas.com/blog/imagej/pyimagej-python-macro-editor.webpImageJ with the nuclei sample and the count-nuclei.ijm macro open in the macro editorhttps://www.labcanvas.com/blog/imagej/pyimagej-python-macro-result.webpImageJ Results table with 70 rows and a Mean row of 40.394 for Areahttps://www.labcanvas.com/analysis-examples/nuclei.webpCounting nuclei in LabCanvas Image Analysis https://www.labcanvas.com/blog/rolling-ball-background-subtraction2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-radius-grid.webpImageJ 1.54f Subtract Background on the synthetic nuclei sample: the original with its uneven background, rolling-ball radius 5, 15, 50 and 150 pixels, and the background that radius 50 found; radius 5 leaves only cross-shaped remains of the nuclei, radius 50 gives a flat floor with the nuclei intacthttps://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-dialog.webpImageJ Subtract Background dialog with the rolling ball radius set to 50 pixels and Preview tickedhttps://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-radius-grid.webpGrid of the nuclei sample processed with rolling-ball radius 5, 15, 50 and 150 pixels, with the original and the created backgroundhttps://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-radius-too-small.webpClose-up of nuclei before and after rolling-ball subtraction with radius 5, 10 and 50 pixelshttps://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-profile.webpImageJ line profiles of the nuclei sample along the same diagonal line before and after rolling-ball subtractionhttps://www.labcanvas.com/blog/imagej/rolling-ball-background-subtraction-light-background.webpThe nuclei sample after Subtract Background with Light background ticked and untickedhttps://www.labcanvas.com/analysis-examples/check.webpImage check in LabCanvas Image Analysis https://www.labcanvas.com/blog/scratch-wound-healing-assay-analysis2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-frames-grid.webpImageJ wound healing analysis of a synthetic scratch time-lapse: four frames at 0, 6, 14 and 22 hours with the open area outlined in yellow, closing from 118,259 µm² to 30,031 µm² (74.6% closed)https://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step1-open.webpImageJ window with the synthetic scratch time-lapse at frame 1https://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step2-variance.webpImageJ Variance dialog with Radius 8 typed inhttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step3-variance-result.webpImageJ variance images of frame 1 and frame 12 side by sidehttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step4-threshold.webpImageJ Threshold window with Otsu on the variance image, the gap shown in redhttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step5-analyze-particles.webpImageJ Analyze Particles dialog with size 1000-Infinity, Display results, Include holes and Summarize tickedhttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step6-summary.webpImageJ Summary table with the open area of all 12 frameshttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step7-curve-fitting.webpImageJ Curve Fitting window with time and open area pasted and Straight Line chosenhttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-step8-rate.webpImageJ Curve Fitting result: a straight line through the open area against timehttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-frames-grid.webpFour frames of the scratch with the measured open area outlined in yellowhttps://www.labcanvas.com/blog/imagej/scratch-wound-healing-assay-analysis-polygon.webpImageJ polygon drawn along both edges of the scratch at frame 12, with the Results tablehttps://www.labcanvas.com/analysis-examples/wound.webpWound healing scratch in LabCanvas Image Analysis https://www.labcanvas.com/blog/sholl-analysis2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/sholl-analysis-imagej-circles.webpImageJ Sholl analysis of a synthetic neuron with a macro: cyan circles every 5 µm around the cell body, red dots at each crossing, the Sholl plot peaking at 18 crossings at 30 µm, and the table of crossings per radiushttps://www.labcanvas.com/blog/imagej/sholl-analysis-imagej-circles.webpImageJ Sholl analysis on a synthetic neuron: concentric circles, red dots at each crossing, a Sholl plot and the table of crossingshttps://www.labcanvas.com/blog/imagej/sholl-analysis-threshold-compare.webpTwo masks of the same neuron with Sholl circles: Default threshold full of background noise, Otsu threshold cleanhttps://www.labcanvas.com/analysis-examples/sholl.webpSholl analysis in LabCanvas Image Analysis https://www.labcanvas.com/blog/tube-formation-assay-quantification2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-result.webpImageJ 1.54f result on a synthetic endothelial tube network: the skeleton drawn in yellow over the phase-contrast image, 125 junctions as red circles and 46 closed meshes shaded bluehttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step1.webpImageJ Subtract Background dialog over the tube network imagehttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step2.webpImageJ Gaussian Blur dialog with Sigma 2https://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step3.webpImageJ Threshold window selecting the dark tubes in redhttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step4.webpImageJ Analyze Particles dialog with Show set to Masks over the tube maskhttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step5.webpImageJ: the tube mask and its skeleton side by sidehttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step6.webpImageJ Analyze Particles on the inverted tube mask with the Summary counting 46 mesheshttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-step7.webpImageJ Log window with total length, junctions, segments and branches of the skeletonhttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-result.webpImageJ result: skeleton in yellow, junctions in red and closed meshes in blue over the tube imagehttps://www.labcanvas.com/blog/imagej/tube-formation-assay-quantification-background.webpTube mask without and with Subtract Backgroundhttps://www.labcanvas.com/analysis-examples/tubes.webpTube formation in LabCanvas Image Analysis https://www.labcanvas.com/blog/watershed-touching-particles2026-11-06monthly0.8https://www.labcanvas.com/blog/imagej/watershed-touching-particles-tem.webpImageJ 1.54f masks of synthetic TEM gold nanoparticles without and with Process › Binary › Watershed, each particle in its own colour: touching particles merged into 74 objects before, split into 136 afterhttps://www.labcanvas.com/blog/imagej/watershed-touching-particles-steps.webpFour panels from ImageJ: a binary mask of touching nanoparticles, its distance map, its ultimate points in red, and the watershed cut lines in redhttps://www.labcanvas.com/blog/imagej/watershed-touching-particles-binary-options.webpImageJ Binary Options dialog with Black background, EDM output and Do options numberedhttps://www.labcanvas.com/blog/imagej/watershed-touching-particles-tem.webpTEM nanoparticle masks from ImageJ without and with Watershed, each particle in its own colourhttps://www.labcanvas.com/blog/imagej/watershed-touching-particles-nuclei.webpNuclei masks from ImageJ without and with Watershed, each object colouredhttps://www.labcanvas.com/blog/imagej/watershed-touching-particles-nanorods.webpNanorod masks from ImageJ with Watershed, rods cut into many pieces, and without it, each rod wholehttps://www.labcanvas.com/analysis-examples/em-tem-np.webpNanoparticle size from TEM in LabCanvas Image Analysishttps://www.labcanvas.com/analysis-examples/em-sem-rods.webpNanorod length and width SEM in LabCanvas Image Analysis https://www.labcanvas.com/blog/crystal-structure-visualization-software2026-11-08monthly0.7https://www.labcanvas.com/shots/3d.webpA crystal structure rendered in the LabCanvas 3D Studio https://www.labcanvas.com/blog/free-tools-scientific-figures2026-11-08monthly0.7https://www.labcanvas.com/shots/figure.webpA scientific figure being built in the LabCanvas figure editor https://www.labcanvas.com/blog/journal-figure-size-guide2026-11-08monthly0.7https://www.labcanvas.com/shots/figure.webpThe LabCanvas figure editor with a scientific figure on the canvas https://www.labcanvas.com/blog/graphpad-prism-alternative2026-11-08monthly0.7https://www.labcanvas.com/shots/graphs.webpLabCanvas Graphs & statistics with a cell viability graph, a one-way ANOVA and significance brackets https://www.labcanvas.com/blog/figure-editor-scientific-illustration2026-11-08monthly0.8https://www.labcanvas.com/shots/figure.webpThe LabCanvas Figure editor with a figure on the canvas, the Library of science objects on the left and the Design panel on the righthttps://www.labcanvas.com/showcase/nano-particle.webpNanoparticle 3D, a LabCanvas science objecthttps://www.labcanvas.com/showcase/nano-au-citrate.webpGold NP, citrate-capped, a LabCanvas science objecthttps://www.labcanvas.com/showcase/nano-ag-capped.webpSilver NP, phytochemical capping, a LabCanvas science objecthttps://www.labcanvas.com/showcase/nano-au-ctab-seed.webpCTAB-capped gold seed, a LabCanvas science objecthttps://www.labcanvas.com/showcase/nano-fe3o4.webpMagnetite NP Fe₃O₄, a LabCanvas science objecthttps://www.labcanvas.com/showcase/nano-fe3o4-sio2.webpFe₃O₄@SiO₂ core–shell, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-beaker.webpBeaker, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-beaker-tall.webpTall-form beaker, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-erlenmeyer.webpErlenmeyer flask, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-rbf.webpRound-bottom flask, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-rbf-2neck.webpTwo-neck flask, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-rbf-3neck.webpThree-neck flask, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-balance.webpAnalytical balance, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-phmeter.webppH meter, a LabCanvas science objecthttps://www.labcanvas.com/showcase/gw-centrifugemachine.webpCentrifuge, a LabCanvas science objecthttps://www.labcanvas.com/showcase/bat-crystal.webpElectrode crystal, a LabCanvas science objecthttps://www.labcanvas.com/showcase/bat-crystal-lco-half.webpLi₀.₅CoO₂ half charged, a LabCanvas science objecthttps://www.labcanvas.com/showcase/bat-crystal-lco-paths.webpLiCoO₂ with 2D lithium planes, a LabCanvas science objecthttps://www.labcanvas.com/showcase/mof-sbu.webpMOF building unit SBU, a LabCanvas science objecthttps://www.labcanvas.com/showcase/mof-sbu-zn4o.webpZn₄O cluster with linkers MOF-5, a LabCanvas science objecthttps://www.labcanvas.com/showcase/mof-sbu-cu-pw.webpCu paddlewheel HKUST-1, a LabCanvas science objecthttps://www.labcanvas.com/templates/graphene-oxide-synthesis-characterization.webpGraphene oxide: synthesis and characterization: an editable graphical abstract templatehttps://www.labcanvas.com/templates/hydrothermal-zno-nanorods.webpHydrothermal growth of ZnO nanorod arrays: an editable graphical abstract templatehttps://www.labcanvas.com/templates/lithium-ion-battery-how-it-works.webpHow a lithium-ion battery works: an editable graphical abstract template https://www.labcanvas.com/blog/slides-scientific-presentations2026-11-08monthly0.8https://www.labcanvas.com/blog/apps/slides-nano.webpLabCanvas Slides with the sample nanomaterials deck: a slide strip on the left, the title slide in the middle, transitions and speaker notes on the righthttps://www.labcanvas.com/blog/apps/slides-nano.webpThe first slides of the nanomaterials sample deck in LabCanvas Slideshttps://www.labcanvas.com/templates/water-splitting-her-oer.webpWater splitting: hydrogen and oxygen evolution: an editable graphical abstract templatehttps://www.labcanvas.com/templates/cof1-cof5-boronate-cofs.webpCOF-1 and COF-5: the first COFs: an editable graphical abstract templatehttps://www.labcanvas.com/templates/mof5-synthesis-structure.webpMOF-5: synthesis and structure: an editable graphical abstract template https://www.labcanvas.com/blog/research-poster-maker2026-11-08monthly0.8https://www.labcanvas.com/shots/poster.webpLabCanvas Research Poster with an A0 poster in three columns, the Blocks palette on the left and page settings on the righthttps://www.labcanvas.com/examples/posters/battery-nmc-sm.webp?v=2026-10-24cA0 poster on layered NMC cathodes made in LabCanvas Research Posterhttps://www.labcanvas.com/examples/posters/mof-uio66-sm.webp?v=2026-10-24cA0 poster on missing-linker defects in UiO-66 made in LabCanvas Research Posterhttps://www.labcanvas.com/examples/posters/nano-gold-nanorods-sm.webp?v=2026-10-24cA0 poster on gold nanorods made in LabCanvas Research Poster https://www.labcanvas.com/blog/moldraw-chemical-structure-drawing2026-11-08monthly0.8https://www.labcanvas.com/shots/moldraw.webpLabCanvas MolDraw with a nitrophenyl amide drawn with wedge and hash stereo bondshttps://www.labcanvas.com/gallery3d/hydrogel3d.webpHydrogel, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/fibers3d.webpFibre mat, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/porous3d.webpPorous material, a 3D model rendered in the LabCanvas 3D Studio https://www.labcanvas.com/blog/3d-studio-scientific-3d-models2026-11-08monthly0.8https://www.labcanvas.com/shots/3d.webpThe LabCanvas 3D Studio with MOFs, a carbon nanotube and a gold nanoparticle in the scenehttps://www.labcanvas.com/gallery3d/cellcutaway3d.webpCell cutaway, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/adherentcell3d.webpAdherent cell cutaway, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/celluptake3d.webpCell taking up nanoparticles, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/neuron3d.webpNeuron, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/myelinneuron3d.webpMyelinated neuron with signal, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/synapse3d.webpSynapse, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/nanoparticle3d.webpNanoparticle, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/nanorod3d.webpGold nanorod, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/nanostar3d.webpGold nanostar, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/nanocube3d.webpSilver nanocube, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/goldlattice3d.webpGold nanoparticle atoms, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/icosahedral3d.webpIcosahedral nanoparticle, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/graphene3d.webpGraphene, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/hbn3d.webph-BN, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/mos23d.webpMoS₂, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/ptooh3d.webpPt111 with *OOH ORR, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/pth3d.webpPt111 with *H HER, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/cuco3d.webpCu100 with *CO CO₂ reduction, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/printer3d.webp3D bioprinter, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/solarcell3d.webpSolar cell, a 3D model rendered in the LabCanvas 3D Studiohttps://www.labcanvas.com/gallery3d/fet3d.webpTransistor FET, a 3D model rendered in the LabCanvas 3D Studio https://www.labcanvas.com/blog/protein-viewer-pdb-structures2026-11-08monthly0.8https://www.labcanvas.com/shots/protein.webpThe LabCanvas Protein viewer showing a protein structure as a cartoon coloured by chain, with the sequence bar along the tophttps://www.labcanvas.com/templates/alphafold-predicted-structure-confidence.webpAlphaFold: a predicted structure and how sure it is: an editable graphical abstract templatehttps://www.labcanvas.com/templates/alphafold-2-and-3-architecture.webpInside AlphaFold 2 and AlphaFold 3: an editable graphical abstract templatehttps://www.labcanvas.com/templates/protein-folding-energy-landscape.webpProtein folding: the energy landscape: an editable graphical abstract template https://www.labcanvas.com/blog/graphs-statistics-scientific-plots2026-11-08monthly0.8https://www.labcanvas.com/shots/graphs.webpLabCanvas Graphs & statistics with a cell viability graph, a one-way ANOVA and significance bracketshttps://www.labcanvas.com/blog/graphs/scatter.webpScatter dot plot made in LabCanvas Graphs: Every value, with the mean and SDhttps://www.labcanvas.com/blog/graphs/scatterBar.webpBars with points made in LabCanvas Graphs: Mean ± SEM bars with every value on tophttps://www.labcanvas.com/blog/graphs/bar.webpBar chart made in LabCanvas Graphs: Mean ± SEMhttps://www.labcanvas.com/blog/graphs/meanError.webpMean ± SD made in LabCanvas Graphs: A symbol at each mean with SD error barshttps://www.labcanvas.com/blog/graphs/box.webpBox & whiskers made in LabCanvas Graphs: Median, quartiles and Tukey whiskershttps://www.labcanvas.com/blog/graphs/violin.webpViolin plot made in LabCanvas Graphs: The distribution with median and quartileshttps://www.labcanvas.com/blog/graphs/floatingBar.webpFloating bars made in LabCanvas Graphs: Minimum to maximum with the meanhttps://www.labcanvas.com/blog/graphs/beforeAfter.webpBefore–after made in LabCanvas Graphs: Paired values joined by lineshttps://www.labcanvas.com/blog/graphs/estimation.webpEstimation plot made in LabCanvas Graphs: Two groups and the difference with its 95% CIhttps://www.labcanvas.com/blog/graphs/outliers.webpFind outliers made in LabCanvas Graphs: ROUT or Grubbs: flag, then exclude in one clickhttps://www.labcanvas.com/blog/graphs/xyScatter.webpXY scatter made in LabCanvas Graphs: Points with X and Y valueshttps://www.labcanvas.com/blog/graphs/xyLine.webpLine graph made in LabCanvas Graphs: Mean ± SEM joined by lineshttps://www.labcanvas.com/blog/graphs/xySpline.webpSmooth curve made in LabCanvas Graphs: A spline through the meanshttps://www.labcanvas.com/blog/graphs/xyArea.webpArea chart made in LabCanvas Graphs: Lines with the area below filledhttps://www.labcanvas.com/blog/graphs/regression.webpLinear regression made in LabCanvas Graphs: Best-fit line with its 95% confidence bandhttps://www.labcanvas.com/blog/graphs/doseResponse.webpDose–response curve made in LabCanvas Graphs: Sigmoidal fit with EC₅₀https://www.labcanvas.com/blog/graphs/bubble.webpBubble plot made in LabCanvas Graphs: Bubble size from a second data sethttps://www.labcanvas.com/blog/graphs/groupedBar.webpGrouped bars made in LabCanvas Graphs: Mean ± SEM side by side in each rowhttps://www.labcanvas.com/blog/graphs/groupedScatter.webpGrouped scatter made in LabCanvas Graphs: Every replicate, side by sidehttps://www.labcanvas.com/blog/graphs/groupedBox.webpGrouped box plot made in LabCanvas Graphs: Box & whiskers side by side in each rowhttps://www.labcanvas.com/blog/graphs/groupedLine.webpTime course made in LabCanvas Graphs: Means joined across rowshttps://www.labcanvas.com/blog/graphs/stackedBar.webpStacked bars made in LabCanvas Graphs: Means 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wholehttps://www.labcanvas.com/blog/graphs/donut.webpDonut chart made in LabCanvas Graphs: A pie with a holehttps://www.labcanvas.com/blog/graphs/partsBar.webp100% bar made in LabCanvas Graphs: Parts stacked in one barhttps://www.labcanvas.com/blog/graphs/blandAltman.webpBland–Altman made in LabCanvas Graphs: Agreement of two methodshttps://www.labcanvas.com/blog/graphs/roc.webpROC curve made in LabCanvas Graphs: Diagnostic accuracy with the areahttps://www.labcanvas.com/blog/graphs/corrMatrix.webpCorrelation matrix made in LabCanvas Graphs: Pearson r of every pair of variableshttps://www.labcanvas.com/blog/graphs/deming.webpMethod comparison Deming made in LabCanvas Graphs: A line when both X and Y have measurement errorhttps://www.labcanvas.com/blog/graphs/standardCurve.webpStandard curve ELISA made in LabCanvas Graphs: 4PL fit of the standards; unknowns read off with 95% CIshttps://www.labcanvas.com/blog/graphs/enzymeInhibition.webpEnzyme inhibition made in LabCanvas Graphs: 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thirdhttps://www.labcanvas.com/blog/graphs/forestRegression.webpForest plot made in LabCanvas Graphs: Hazard ratios from a Cox regression, with 95% CIshttps://www.labcanvas.com/blog/graphs/coxPredicted.webpPredicted survival made in LabCanvas Graphs: Survival curves a Cox regression predicts for each group or values you enterhttps://www.labcanvas.com/blog/graphs/pcaBiplot.webpPCA biplot made in LabCanvas Graphs: Principal components: scores and loadings togetherhttps://www.labcanvas.com/blog/graphs/pcaScree.webpScree plot made in LabCanvas Graphs: Variance explained by each principal componenthttps://www.labcanvas.com/blog/graphs/poisson.webpCounts Poisson made in LabCanvas Graphs: Rate ratios of counts, with a forest plothttps://www.labcanvas.com/blog/graphs/threeWay.webpThree-factor design made in LabCanvas Graphs: Three-way ANOVA with interactionshttps://www.labcanvas.com/blog/graphs/kmeans.webpK-means clusters made in LabCanvas Graphs: Rows split into K clusters, on the first two principal componentshttps://www.labcanvas.com/blog/graphs/pae.webpPredicted aligned error PAE made in LabCanvas Graphs: AlphaFold-style matrix: low error within domains, high between themhttps://www.labcanvas.com/blog/graphs/plddt.webpPer-residue confidence pLDDT made in LabCanvas Graphs: Confidence along the sequence in the AlphaFold colour bandshttps://www.labcanvas.com/blog/graphs/contacts.webpContact map made in LabCanvas Graphs: Predicted residue–residue contact probabilitieshttps://www.labcanvas.com/blog/graphs/rama.webpRamachandran plot made in LabCanvas Graphs: ψ against φ with the favoured and allowed regionshttps://www.labcanvas.com/blog/graphs/parity.webpParity plot ML model made in LabCanvas Graphs: Predicted vs. measured potency with R², RMSE and MAEhttps://www.labcanvas.com/blog/graphs/chemSpace.webpChemical space map made in LabCanvas Graphs: Compounds by weight and lipophilicity, coloured by potencyhttps://www.labcanvas.com/blog/graphs/radar.webpProperty radar 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per compound, coloured by a fourth https://www.labcanvas.com/blog/optics-optical-setup-simulator2026-11-08monthly0.8https://www.labcanvas.com/blog/apps/optics-michelson.webpLabCanvas Optics with a Michelson interferometer on a breadboard: a HeNe laser, a beam splitter, two mirrors and a camera, with the beam traced in redhttps://www.labcanvas.com/blog/apps/optics-michelson.webpMichelson interferometer in LabCanvas Opticshttps://www.labcanvas.com/blog/apps/optics-fluorescence.webpEpi-fluorescence microscope in LabCanvas Opticshttps://www.labcanvas.com/blog/apps/optics-grating.webpMercury lines on a diffraction grating in LabCanvas Optics https://www.labcanvas.com/blog/pixel-editor-microscopy-images2026-11-08monthly0.8https://www.labcanvas.com/shots/pixel.webpThe LabCanvas Pixel editor adjusting levels and curves on a six-panel figure of micrographs https://www.labcanvas.com/blog/what-is-labcanvas2026-11-08monthly0.7https://www.labcanvas.com/blog/what-is-labcanvas.webpIllustration of the 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https://www.labcanvas.com/blog/biorender-alternative2026-11-08monthly0.7https://www.labcanvas.com/examples/ai-figure.webpA six-panel figure on mRNA delivery made in LabCanvas: 3D chromatin and DNA, a lipid nanoparticle with mRNA, inorganic carriers, a lab setup, release kinetics with a curve fit and an uptake schematichttps://www.labcanvas.com/showcase/liposome.webpLiposome drawn by a LabCanvas generator, with cargo, PEG chains and targeting ligandshttps://www.labcanvas.com/showcase/lnp.webpLipid nanoparticle drawn by a LabCanvas generatorhttps://www.labcanvas.com/showcase/coronavirus.webpCoronavirus drawn by a LabCanvas generator, with spike proteinshttps://www.labcanvas.com/showcase/antibody.webpAntibody drawn by a LabCanvas generator, with heavy and light chainshttps://www.labcanvas.com/showcase/cancer.webpCancer cell drawn by a LabCanvas generator, with its nucleus and organelleshttps://www.labcanvas.com/showcase/bacterium.webpBacterium drawn by a LabCanvas generator, with flagella and pili https://www.labcanvas.com/editor.html2026-10-19monthly0.5 https://www.labcanvas.com/slides.html2026-10-19monthly0.5 https://www.labcanvas.com/poster.html2026-10-19monthly0.5 https://www.labcanvas.com/studio3d.html2026-10-19monthly0.5 https://www.labcanvas.com/protein.html2026-10-19monthly0.5 https://www.labcanvas.com/plot.html2026-10-19monthly0.5 https://www.labcanvas.com/analysis.html2026-10-19monthly0.5 https://www.labcanvas.com/optics.html2026-10-19monthly0.5