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Presentation of LocalZProjector and DeProj . The toolbox is made of two tools, LocalZProjector a Fiji tool that generates 2D projections from 3D, multi-channel time-lapse images, and DeProj , a <t>MATLAB</t> function that uses the height-map output of LocalZProjector and the segmentation results on the projection output to measure accurately the morphology metrics of the cells in the projected tissue
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Presentation of LocalZProjector and DeProj . The toolbox is made of two tools, LocalZProjector a Fiji tool that generates 2D projections from 3D, multi-channel time-lapse images, and DeProj , a <t>MATLAB</t> function that uses the height-map output of LocalZProjector and the segmentation results on the projection output to measure accurately the morphology metrics of the cells in the projected tissue
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Presentation of LocalZProjector and DeProj . The toolbox is made of two tools, LocalZProjector a Fiji tool that generates 2D projections from 3D, multi-channel time-lapse images, and DeProj , a <t>MATLAB</t> function that uses the height-map output of LocalZProjector and the segmentation results on the projection output to measure accurately the morphology metrics of the cells in the projected tissue
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Image Search Results


Presentation of LocalZProjector and DeProj . The toolbox is made of two tools, LocalZProjector a Fiji tool that generates 2D projections from 3D, multi-channel time-lapse images, and DeProj , a MATLAB function that uses the height-map output of LocalZProjector and the segmentation results on the projection output to measure accurately the morphology metrics of the cells in the projected tissue

Journal: BMC Biology

Article Title: LocalZProjector and DeProj: a toolbox for local 2D projection and accurate morphometrics of large 3D microscopy images

doi: 10.1186/s12915-021-01037-w

Figure Lengend Snippet: Presentation of LocalZProjector and DeProj . The toolbox is made of two tools, LocalZProjector a Fiji tool that generates 2D projections from 3D, multi-channel time-lapse images, and DeProj , a MATLAB function that uses the height-map output of LocalZProjector and the segmentation results on the projection output to measure accurately the morphology metrics of the cells in the projected tissue

Article Snippet: • Other requirements : at least MATLAB R2019b and the Image Processing Toolbox.

Techniques:

Journal: STAR Protocols

Article Title: Chromatin-bound protein colocalization analysis using bedGraph2Cluster and PanChIP

doi: 10.1016/j.xpro.2022.101991

Figure Lengend Snippet:

Article Snippet: Set as “R2018b” in the example. f. -r : MATLAB Compiler Runtime version.

Techniques: ChIP-sequencing, Software