Utilization of convolutional neural networks to analyze microscopic images for high-throughput screening of mesenchymal stem cells.
Open life sciences
Liu M, Du X, Hu J, Liang X, Wang H.
Publication Overview
Key findings, Countstar context, and access to the original paper.
2024
Stem Cell Research
No items found.
Key Finding
Microscopic images based on the H-SCNN model proved to be effective for the classification assessment of hBMSCs, demonstrating excellent performance in classification Acc and efficiency, enabling its potential to be a powerful tool in future MSCs research.
Countstar Connection
The study used Countstar (model not specified) for cell-count assessment in cell suspensions during quality assessment in the 2024 Open life sciences study.
