MyelinJ

MyelinJ analyzes fluorescent micrographs of 2D-myelinating cultures to quantify neurite density and myelination for high-throughput myelination research.

Key Features:

• High-throughput processing: Processes single images or complex experiments involving multiple conditions for large-scale studies.
• Image focus: Targets fluorescent micrographs from 2D-myelinating in vitro cultures.
• Quantitative metrics: Outputs percentage neurite density and percentage myelination as primary quantitative measures.
• Statistical integration: Integrates with R and the ggpubr package to perform statistical analyses and generate publication-quality graphs.
• Software dependencies: Operates within the ImageJ environment and relies on R/ggpubr for downstream statistical analysis.

Scientific Applications:

• In vitro myelination assessment: Quantifies the extent of myelination in 2D-myelinating cultures using percentage neurite density and percentage myelination.
• Comparative studies: Enables comparison across multiple experimental conditions in high-throughput or large-scale studies.
• Results presentation: Produces data and graphs suitable for publication-quality presentation of myelination analyses.

Methodology:

Neurite density calculation uses a normalize local contrast algorithm followed by thresholding to adjust for variations in image intensity. Myelination analysis identifies myelin sheaths using the Frangi vesselness algorithm combined with a grey scale morphology filter and excludes cell bodies via a high-intensity mask. Statistical analyses and graph generation are performed using the ggpubr package in R.