MyelTracer: A semi-automated software for myelin g -ratio quantification
Name
ENEURO.0558-20.2021.full.pdf
Description
Published version
Size
3 MB
Format
Adobe PDF
Checksum (MD5)
4aa0685ba543fbc7bcdd3ba329640d88
Author(s)
Kaiser, Tobias
Allen, Harrison Mitchell
Kwon, Ohyoon
Barak, Boaz
Wang, Jing
He, Zhigang
Jiang, Minqing
Feng, Guoping
Date Issued
2021
Journal
eneuro
Publisher
Society for Neuroscience
Citation
Kaiser, Tobias, Allen, Harrison Mitchell, Kwon, Ohyoon, Barak, Boaz, Wang, Jing et al. 2021. "MyelTracer: A semi-automated software for myelin g -ratio quantification." eneuro, 8 (4).
Version
Final published version
Abstract
In the central and peripheral nervous systems, the myelin sheath promotes neuronal signal transduction. The thickness of the myelin sheath changes during development and in disease conditions like multiple sclerosis. Such changes are routinely detected using electron microscopy through g-ratio quantification. While g-ratio is one of the most critical measurements in myelin studies, a major drawback is that g-ratio quantification is extremely laborious and time-consuming. Here, we report the development and validation of MyelTracer, an installable, stand-alone software for semi-automated g-ratio quantification based on the Open Computer Vision Library (OpenCV). Compared with manual g-ratio quantification, using MyelTracer produces consistent results across multiple tissues and animal ages, as well as in remyelination after optic nerve crush, and reduces total quantification time by 40-60%. With g-ratio measurements via MyelTracer, a known hypomyelination phenotype can be detected in a Williams syndrome mouse model. MyelTracer is easy to use and freely available for Windows and Mac OS X (https://github.com/HarrisonAllen/MyelTracer).
MIT Department
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1523/ENEURO.0558-20.2021
