Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging.

ABSTRACT: Mesenchymal stromal cells (MSCs) are multipotent cells that have great potential for regenerative medicine, tissue repair, and immunotherapy. Unfortunately, the outcomes of MSC-based research and therapies can be highly inconsistent and difficult to reproduce, largely due to the inherently significant heterogeneity in MSCs, which has not been well investigated. To quantify cell heterogeneity, a standard approach is to measure marker expression on the protein level via immunochemistry assays. Performing such measurements non-invasively and at scale has remained challenging as conventional methods such as flow cytometry and immunofluorescence microscopy typically require cell fixation and laborious sample preparation. Here, we developed an artificial intelligence (AI)-based method that conve

SUBMITTER: Imboden S 

PROVIDER: S-EPMC7991643 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature