Supplemental code for "Mitochondrial dysfunction in human hypertrophic cardiomyopathy is linked to cardiomyocyte architecture disruption and corrected by improving NADH-driven mitochondrial respiration"
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Project goals
Python scripts for training and applying U-Net to segment mitochondria in transmission electron microscopy images of cardiac tissue
Contents
License and Citation
These scripts are released under the MIT License.
If you use use the code or models in your research, please cite:
Bibtex formatted reference:
@ARTICLE{Nollet2023-bc,
title = "Mitochondrial dysfunction in human hypertrophic cardiomyopathy is
linked to cardiomyocyte architecture disruption and corrected by
improving {NADH-driven} mitochondrial respiration",
author = "Nollet, Edgar E and Duursma, Inez and Rozenbaum, Anastasiya and
Eggelbusch, Moritz and W{\"u}st, Rob C I and Schoonvelde, Stephan
A C and Michels, Michelle and Jansen, Mark and van der Wel,
Nicole N and Bedi, Kenneth C and Margulies, Kenneth B and
Nirschl, Jeff and Kuster, Diederik W D and van der Velden,
Jolanda",
journal = "Eur Heart J",
month = feb,
year = 2023,
address = "England",
keywords = "Cardiomyocyte architecture; Hypertrophic cardiomyopathy;
Metabolism; Mitochondrial dysfunction; Mitochondrial therapy",
language = "en"
}
Acknowledgements
Developer information
Jeff Nirschl, M.D., Ph.D. is a neuropathology fellow at Stanford University, Stanford, CA, in the Department of Pathology. His research interests include molecular motors and the neuronal cytoskeleton, the regulation of axonal transport in neurodegeneration, digital pathology and quantitative image analysis using machine learning.
