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Figure 1 | Plant Methods

Figure 1

From: CalloseMeasurer: a novel software solution to measure callose deposition and recognise spreading callose patterns

Figure 1

The CalloseMeasurer analysis workflow for recognising ROI objects. (A) The algorithm reads a series of callose image files into the software system, which are split into three planes – hue, saturation, and intensity value. Only intensity planes are used in the analysis. (B) As leaf vessel and mesophyll cell signals contain high intensity values, in order to differentiate them with callose deposition signals, images are transformed into their gradients so that callose edges can be highlighted. (C) Based on the processed images, image masks are applied to recognise ROI, which are randomly coloured. (D, E) Within the ROI, the algorithm detects centres of callose through finding local maxima of intensity. (F) ROI objects are rebuilt based on the detected callose centres.

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