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Fig. 6 | Plant Methods

Fig. 6

From: High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants

Fig. 6

Analysis of Arabidopsis seed cell organization by tessellation-based automatic segmentation of a Micro-CT image. a Illustration of a centroid coordinate read-out in Arabidopsis seed cells produced by ImageJ. Green arrows indicate the direction of the x and y axes, and the number represents the centroid coordinate of the red point. b Graphical user interface of SR-Tesseler software, including the console, control window, and viewer panel. c Merged image of Arabidopsis seed cell particles identified by ImageJ and centroid (red points) displayed in the SR-Tesseler viewer window. df Segmentation and quantification of experimental data according to the centroid shown in c. Polygon creation and establishment of Voronoï diagrams based on local density (d), mean distance (e), and area (f). Empty polygons are shown above, and filled polygons are shown below. All polygons were merged with the particles identified from Arabidopsis seed cells. The polygons were pseudocolor-coded with respect to the segmentation results. g The connection patterns of clusters calculated from established objects. All bars in this figure represent 50 μm

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