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application imariscell  (Oxford Instruments)


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    Structured Review

    Oxford Instruments application imariscell
    (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) <t>ImarisCell:</t> Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.
    Application Imariscell, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 44474 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/application+imariscell/Imaris/pmc09624194-219-31-28
    Average 99 stars, based on 44474 article reviews
    application imariscell - by Bioz Stars, 2026-10
    99/100 stars

    Images

    1) Product Images from "ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis"

    Article Title: ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis

    Journal: Developmental biology

    doi: 10.1016/j.ydbio.2020.02.003

    (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) ImarisCell: Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.
    Figure Legend Snippet: (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) ImarisCell: Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.

    Techniques Used:

    The quantitative results of the comparison show that our code ShapeMetrics outputs very similar cell numbers and volumes as ImarisCell. Fiji, on the other hand, outputs a similar number of cells but the mean volume of the cells as well as the visualization in <xref ref-type= Fig. 7 reveal that the segmentation is not successful. CellProfiler is not applicable for 3D segmentation of cells." title="... outputs very similar cell numbers and volumes as ImarisCell. Fiji, on the other hand, outputs ..." property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: The quantitative results of the comparison show that our code ShapeMetrics outputs very similar cell numbers and volumes as ImarisCell. Fiji, on the other hand, outputs a similar number of cells but the mean volume of the cells as well as the visualization in Fig. 7 reveal that the segmentation is not successful. CellProfiler is not applicable for 3D segmentation of cells.

    Techniques Used: Comparison

    Related Articles

    Comparison:

    Article Title: ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis
    Article Snippet: another MATLAB implemented approach, SpheroidSizer, specializes in volumetric measurements of spheroids but not individual cells ( ). .. The performance of our new MATLAB-based pipeline, ShapeMetrics, was compared to multiple existing free programs including ImageJ/FIJI, CellProfiler ™ , and CellSegm as well as the commercially available Imaris and its application ImarisCell specifically developed for this type of 3D and 2D analysis of cells. .. We conclude that in 2D analysis CellProfiler ™ and ImarisCell performed equally well as our method ShapeMetrics.

    Article Title: ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis.
    Article Snippet: another MATLAB implemented approach, SpheroidSizer, specializes in volumetric measurements of spheroids but not individual cells (Chen et al., 2014). .. The performance of our new MATLAB-based pipeline, ShapeMetrics, was compared to multiple existing free programs including ImageJ/FIJI, CellProfilerTM, and CellSegm as well as the commercially available Imaris and its application ImarisCell specifically developed for this type of 3D and 2D analysis of cells. .. We conclude that in 2D analysis CellProfilerTM and ImarisCell performed equally well as our method ShapeMetrics.



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    application imariscell  (Oxford Instruments)
    99
    Oxford Instruments application imariscell
    (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) <t>ImarisCell:</t> Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.
    Application Imariscell, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/application+imariscell/Imaris/pmc09624194-219-31-28
    Average 99 stars, based on 1 article reviews
    application imariscell - by Bioz Stars, 2026-10
    99/100 stars
    		  Buy from Supplier

    Image Search Results


    (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) ImarisCell: Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.

    Journal: Developmental biology

    Article Title: ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis

    doi: 10.1016/j.ydbio.2020.02.003

    Figure Lengend Snippet: (A) The original image used for all softwares. (B) FIJI: visualization of 2D (left) and 3D (right) segmentation results of the binary watershed segmentation option. (C) CellProfiler: Visualization of the 2D (top) and 3D (below) monolayer segmentation results using IdentifyObjects and Measure modules. (D) ImarisCell: Visualization of the 2D (left) and 3D (right) segmentation results. (E) ShapeMetrics: visualization of the 2D (left) and 3D (right) watershed segmentation results.

    Article Snippet: The performance of our new MATLAB-based pipeline, ShapeMetrics, was compared to multiple existing free programs including ImageJ/FIJI, CellProfiler ™ , and CellSegm as well as the commercially available Imaris and its application ImarisCell specifically developed for this type of 3D and 2D analysis of cells.

    Techniques:

    The quantitative results of the comparison show that our code ShapeMetrics outputs very similar cell numbers and volumes as ImarisCell. Fiji, on the other hand, outputs a similar number of cells but the mean volume of the cells as well as the visualization in <xref ref-type= Fig. 7 reveal that the segmentation is not successful. CellProfiler is not applicable for 3D segmentation of cells." width="100%" height="100%">

    Journal: Developmental biology

    Article Title: ShapeMetrics: A userfriendly pipeline for 3D cell segmentation and spatial tissue analysis

    doi: 10.1016/j.ydbio.2020.02.003

    Figure Lengend Snippet: The quantitative results of the comparison show that our code ShapeMetrics outputs very similar cell numbers and volumes as ImarisCell. Fiji, on the other hand, outputs a similar number of cells but the mean volume of the cells as well as the visualization in Fig. 7 reveal that the segmentation is not successful. CellProfiler is not applicable for 3D segmentation of cells.

    Article Snippet: The performance of our new MATLAB-based pipeline, ShapeMetrics, was compared to multiple existing free programs including ImageJ/FIJI, CellProfiler ™ , and CellSegm as well as the commercially available Imaris and its application ImarisCell specifically developed for this type of 3D and 2D analysis of cells.

    Techniques: Comparison