Figure 4
From: Mito Hacker: a set of tools to enable high-throughput analysis of mitochondrial network morphology
Adaptive Mitochondrial Masking (AdaMM). (a) Image of a sample cell to be analyzed. (b) The image is divided into equally sized blocks, and the empty blocks are removed. (c) The distribution of average signal across the tiles is calculated. (d) A generalized logistic function is fit to the tile intensity distribution to determine the level of correction needed for each tile based on its signal level. (e) Each tile receives a different correction factor, and the adjusted threshold is used to locally segment the contents of each tile. (f) The segmented tiles are attached together to create the final, locally thresholded image of the cell for analysis. Scale Bars: 10 μm.
