A team of University of Wisconsin-Madison researchers, including members of the Stem Cell and Regenerative Medicine Center (SCRMC), have developed an innovative methodology that can ultimately be used to advance cutting-edge personalized therapies and disease models.
The study, published in the journal GEN Biotechnology, outlines the new methodology which includes a real-time method for tracking the reprogramming of somatic cells to induce pluripotent stem cells (iPSCs) using micropatterning, label-free imaging, and machine learning.
This novel study was led by Kaivalya Molugu, a recent PhD graduate in biophysics who worked in SCRMC faculty member and College of Engineering Associate Professor, Krishanu Saha’s lab where Molugu was funded through a Stem Cell and Regenerative Graduate fellowship. The study was a collaborative project with SCRMC faculty member and Professor of Biological Engineering, Melissa Skala’s lab.
Read the full article at: https://engineering.wisc.edu/news/label-free-imaging-plus-data-science-means-better-quality-control-for-biomanufacturing-stem-cells/