Concepedia

MitoSegNet: Easy-to-use Deep Learning Segmentation for Analyzing Mitochondrial Morphology

Christian Fischer, Laura Besora-Casals, S. Rolland, Simon Haeussler, Kritarth Singh, Michael R. Duchen, Barbara Conradt, Carsten Marr

iScience · 2020 · 106 citations · 46 references

DOIFull text

Open access

Concepts

Abstract

adults. Additionally, MitoSegNet was capable of accurately segmenting mitochondria in HeLa cells treated with fragmentation inducing reagents. We provide MitoSegNet in a toolbox for Windows and Linux operating systems that combines segmentation with morphological analysis.

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