MyelTracer: A semi-automated software for myelin g -ratio quantification
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 quant...
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Society for Neuroscience
2021
|
| Online Access: | https://hdl.handle.net/1721.1/138216 |
| _version_ | 1826195923405897728 |
|---|---|
| author | Kaiser, Tobias Allen, Harrison Mitchell Kwon, Ohyoon Barak, Boaz Wang, Jing He, Zhigang Jiang, Minqing Feng, Guoping |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Kaiser, Tobias Allen, Harrison Mitchell Kwon, Ohyoon Barak, Boaz Wang, Jing He, Zhigang Jiang, Minqing Feng, Guoping |
| author_sort | Kaiser, Tobias |
| collection | MIT |
| description | 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). |
| first_indexed | 2024-09-23T10:17:59Z |
| format | Article |
| id | mit-1721.1/138216 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T10:17:59Z |
| publishDate | 2021 |
| publisher | Society for Neuroscience |
| record_format | dspace |
| spelling | mit-1721.1/1382162023-02-08T19:10:19Z MyelTracer: A semi-automated software for myelin g -ratio quantification Kaiser, Tobias Allen, Harrison Mitchell Kwon, Ohyoon Barak, Boaz Wang, Jing He, Zhigang Jiang, Minqing Feng, Guoping 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 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). 2021-11-23T18:04:14Z 2021-11-23T18:04:14Z 2021 2021-11-23T17:57:22Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/138216 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). en 10.1523/ENEURO.0558-20.2021 eneuro Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Society for Neuroscience Society for Neuroscience |
| spellingShingle | Kaiser, Tobias Allen, Harrison Mitchell Kwon, Ohyoon Barak, Boaz Wang, Jing He, Zhigang Jiang, Minqing Feng, Guoping MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title | MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title_full | MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title_fullStr | MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title_full_unstemmed | MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title_short | MyelTracer: A semi-automated software for myelin g -ratio quantification |
| title_sort | myeltracer a semi automated software for myelin g ratio quantification |
| url | https://hdl.handle.net/1721.1/138216 |
| work_keys_str_mv | AT kaisertobias myeltracerasemiautomatedsoftwareformyelingratioquantification AT allenharrisonmitchell myeltracerasemiautomatedsoftwareformyelingratioquantification AT kwonohyoon myeltracerasemiautomatedsoftwareformyelingratioquantification AT barakboaz myeltracerasemiautomatedsoftwareformyelingratioquantification AT wangjing myeltracerasemiautomatedsoftwareformyelingratioquantification AT hezhigang myeltracerasemiautomatedsoftwareformyelingratioquantification AT jiangminqing myeltracerasemiautomatedsoftwareformyelingratioquantification AT fengguoping myeltracerasemiautomatedsoftwareformyelingratioquantification |