Rapid and reliable image analysis pipeline for semi-automated quantification of CNS cell types in MATLAB
This study presents an alternative to classical segmentation models by offering a reproducible quantification of CNS-resident cells using nuclear morphology. Its simplicity, minimal input requirements, reduced time for semi-automated quantification, and specificity for CNS tissues make it a valuable tool for studying cellular responses in both healthy and pathological contexts.
Authors
- Steve Lacroix (ORCID: https://orcid.org/0000-0003-0781-6371)
- Adrian Castellanos-Molina
- Ana Boisvert
- Nicolas Vallières
- J. Ferry
- Alexandre Chamberland
Institutions
- Centre hospitalier universitaire de Québec (CA)
- Centre hospitalier de l'Université Laval (CA)
- Université Laval (CA)
Publication Details
- Journal
- Journal of Neuroscience Methods
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1016/j.jneumeth.2025.110590
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00