Figure 3

The CalloseMeasurer analysis workflow for detecting callose spreading networks. (A, B) If a user ticks the “Detect Callose Network” selection, a series of image files are read into the system and callose deposits (randomly coloured) will be detected by the algorithm. In this case, both small and big callose deposits are identified and used for constructing spreading callose networks. (C) Size, circularity, and intensity of the recognised callose deposits (coloured green) are measured. (D) A spreading callose network is constructed based on the recognised callose deposits. (E) Image masks are applied to the network (coloured red). (F) A filtering system is used to screen out unsuitable masks based on size, width, length, and shape. Skeletons are extracted from the refined callose network. Analysis results (e.g., the size and spreading length of callose deposits) are calculated and exported to the CSV file, which contains overall analysis results.