Show simple item record

dc.contributor.authorKaiser, Tobias
dc.contributor.authorAllen, Harrison Mitchell
dc.contributor.authorKwon, Ohyoon
dc.contributor.authorBarak, Boaz
dc.contributor.authorWang, Jing
dc.contributor.authorHe, Zhigang
dc.contributor.authorJiang, Minqing
dc.contributor.authorFeng, Guoping
dc.date.accessioned2021-11-23T18:04:14Z
dc.date.available2021-11-23T18:04:14Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/138216
dc.description.abstractIn 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).en_US
dc.language.isoen
dc.publisherSociety for Neuroscienceen_US
dc.relation.isversionof10.1523/ENEURO.0558-20.2021en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSociety for Neuroscienceen_US
dc.titleMyelTracer: A semi-automated software for myelin g -ratio quantificationen_US
dc.typeArticleen_US
dc.identifier.citationKaiser, 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).
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journaleneuroen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-11-23T17:57:22Z
dspace.orderedauthorsKaiser, T; Allen, HM; Kwon, O; Barak, B; Wang, J; He, Z; Jiang, M; Feng, Gen_US
dspace.date.submission2021-11-23T17:57:24Z
mit.journal.volume8en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record