MitoGraph

MitoGraph is an open-source image analysis platform for measuring mitochondrial morphology. With the help of the creators of MitoGraph Susanne Rafelski & Matheus Viana we optimized & assessed MitoGraph segmentation on five different mamalian cell types types. All of these cell types were accurately segmented by MitoGraph. MitoGraph successfully differentiated between distinct mitochondrial morphologies that ranged from entirely fragmented to hyper-elongated.

Useful resources for MitoGraph:

See the following article that details optimization of MitoGraph for mammalian cells:

Harwig, M. C., Viana, M. P., Egner, J. M., Harwig, J. J., Widlansky, M. E., Rafelski, S. M., & Hill, R. B. (2018). Methods for imaging mammalian mitochondrial morphology: A prospective on MitoGraph. Analytical biochemistry, 552, 81–99. doi:10.1016/j.ab.2018.02.022
Repository for R-scripts designed specifically for extracting and analyzing MitoGraph generated data:
- https://github.com/Hill-Lab/MitoGraph-Contrib-RScripts

Creators of MitoGraph (Susanne Rafelski & Matheus Viana)

The original article details many helpful guidelines for the successful implementation of MitoGraph
- Viana, M. P., Lim, S., & Rafelski, S. M. (2015). Quantifying mitochondrial content in living cells. Methods in cell biology, 125, 77–93. doi:10.1016/bs.mcb.2014.10.003
http://rafelski.com/susanne/MitoGraph
Download version 3 of MitoGraph here:
- https://github.com/vianamp/MitoGraph