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. 2013 Jan 31;25(1):57–70. doi: 10.1105/tpc.112.105890

Figure 6.

Figure 6.

The High-Throughput Analysis Workflow for Detecting PDs and Segmenting Jigsaw-Shaped Cells Using PDQUANT.

(A) A maximum intensity projection was used to merge 21 to 35 optical Z planes (image sequences in the PD channel) into a two-dimensional pseudo-image for PD signals.

(B) A set of PD candidates detected from PD images, which are presented by randomly colored circles.

(C) A maximum intensity projection was used to merge 21 to 35 optical Z planes (image sequences in the cell channel) into a two-dimensional pseudo-image for cell boundary signals.

(D) Jigsaw-shaped cells are segmented and cell boundaries are highlighted by colored lines.

(E) Detected cell boundaries (colored red) are overlapped with recognized PDs (colored green). Cells with unsuitable size (<200 μm), contrast, and location (e.g., small cells attached to the image border) are discarded.

(F) and (G) PDs overlaid with cell boundaries are categorized into the anticlinal (epidermal-epidermal) PD group, and those overlapped with cell interiors are categorized into the periclinal (epidermal-mesophyll) PD group. PDs not overlaid with any cells are discarded from the analysis.

(H) Detected cells are treated as image objects. They are labeled together with calculated features, such as size, two-dimensional coordinates, and the number of PDs per cell.

(I) to (L) High-magnification views of recognized cell boundaries showing all PDs (I), periclinal PDs (J), anticlinal PDs (K), and cell identities (L).