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MyelinJ: An ImageJ macro for high throughput analysis of myelinating cultures.

08:00 EDT 16th May 2019 | BioPortfolio

Summary of "MyelinJ: An ImageJ macro for high throughput analysis of myelinating cultures."

MyelinJ is a free user friendly ImageJ macro for high throughput analysis of fluorescent micrographs such as 2D-myelinating cultures and statistical analysis using R. MyelinJ can analyse single images or complex experiments with multiple conditions, where the ggpubr package in R is automatically used for statistical analysis and the production of publication quality graphs. The main outputs are percentage (%) neurite density and % myelination. % neurite density is calculated using the normalise local contrast (NLC) algorithm, followed by thresholding, to adjust for differences in intensity. For % myelination the myelin sheaths are selected using the Frangi vesselness algorithm, in conjunction with a grey scale morphology filter and the removal of cell bodies using a high intensity mask. MyelinJ uses a simple graphical user interface and user name system for reproducibility and sharing that will be useful to the wider scientific community that study 2D-myelination in vitro.

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Name: Bioinformatics (Oxford, England)
ISSN: 1367-4811
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