AN ARTIFICIAL INTELLIGENCE FOR RAPID IN-LINE LABEL-FREE HUMAN PLURIPOTENT STEM CELL COUNTING AND QUALITY ASSESSMENT
B. L. Ragunton, S. Van Buskirk, D. Wakefield, N. Randive, A. Pipathsouk, B. Pei, H. Zhou, T. M. Yamawaki, M. Berke, C.-M. K. Li, C. Hale, S. Wang, S. Chambers
This paper develops an AI algorithm for counting and assessing human pluripotent stem cells in brightfield images, achieving high accuracy and efficiency.
bioRxiv · Mar 20, 2023 · PreprintCell Biology