Skip to main content
Fig. 4 | Plant Methods

Fig. 4

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

Fig. 4

Analysis of Arabidopsis root cell organization by tessellation-based automatic segmentation of an LSCM image. a Illustration of a centroid coordinate read-out in Arabidopsis root cells generated by ImageJ. Green arrows indicate the direction of the x and y axes; the number indicates 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 root 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 root cells. The polygons were pseudocolor-coded with respect to the segmentation results. g The connection pattern of clusters calculated from established objects. All the bars in this figure represent 10 μm

Back to article page