MSCProfiler: a single cell image processing workflow to investigate mesenchymal stem cell heterogeneity
Document Type
Article
Publication Title
BioTechniques
Abstract
Single cell cytometry has demonstrated plausible immuno-heterogeneity of mesenchymal stem cells (MSCs) owing to their multivariate stromal origin. To contribute successfully to next-generation stem cell therapeutics, a deeper understanding of their cellular morphology and immunophenotype is important. In this study, the authors describe MSCProfiler, an image analysis pipeline developed using CellProfiler software. This workflow can extract geometrical and texture features such as shape, size, eccentricity and entropy, along with intensity values of the surface markers from multiple single cell images obtained using imaging flow cytometry. This screening pipeline can be used to analyze geometrical and texture features of all types of MSCs across different passages hallmarked by enhanced feature extraction potential from brightfield and fluorescent images of the cells.
First Page
195
Last Page
209
DOI
10.2144/btn-2023-0048
Publication Date
10-1-2023
Recommended Citation
Gupta, Ayona; Shaik, Safia Kousar; Balasubramanian, Lakshmi; and Chakraborty, Uttara, "MSCProfiler: a single cell image processing workflow to investigate mesenchymal stem cell heterogeneity" (2023). Open Access archive. 7742.
https://impressions.manipal.edu/open-access-archive/7742