Revealing Human Mesenchymal Stem Cell Heterogeneity With AI-Driven Single-Cell Imaging Flow Cytometry

We invite you to join the webinar “Revealing Human Mesenchymal Stem Cell Heterogeneity Using AI-Driven Single-Cell Imaging Flow Cytometry” (Revealing Human Mesenchymal Stem Cell Heterogeneity With AI-Driven Single-Cell Imaging Flow Cytometry), sponsored by FluoroFinder in collaboration with Cytek Biosciences.

 

Human mesenchymal stem cells (hMSCs) — are multipotent stem cells that possess both immunosuppressive and immunostimulatory properties, making them excellent candidates for regenerative medicine. However, their therapeutic application is limited by heterogeneity arising from tissue sources, in vitro expansion, cellular senescence, and cryopreservation.

 

In this webinar, we will present an automated image analysis pipeline, MSCProfiler, which extracts geometric and textural features from single-cell brightfield and fluorescence images, allowing for a detailed characterization of the morphological and immunophenotypic variability of hMSCs across different tissue sources and passages. In addition, we will apply AI-based classification for a rapid and reliable strategy for profiling lMSC populations and improving quality control in stem cell-based therapeutics.

 

The main topics to be discussed during this webinar will be:

• how variations in lMSCs affect their subsequent applications in regenerative medicine;
• how flow cytometry with imaging, combined with automated analysis, can be used for quantitative
• assessment of MSC variability;
• how the application of artificial intelligence to these methods can create a reliable and rapid platform for quality control.

 

Who is this event for:

• researchers engaged in stem cell research who wish to better understand cell heterogeneity and quality control issues;
• scientists interested in applying machine learning or artificial intelligence to their biological datasets;
• anyone interested in the applications of imaging flow cytometry.

 

Speaker — Associate Professor Uttara Chakraborty, Manipal Institute of Regenerative Medicine.

 

Date and time (Kyiv time):

• Thursday, April 23 — 6:00 PM

 

Registration link.