Comparing instance segmentation methods for analyzing clonal growth of single cells in microfluidic chips
E. D. SoRelle, S. White, B. Yellen, K. C. Wood, M. A. Luftig, C. Chan
The paper compares segmentation methods for analyzing clonal growth in microfluidic chips, finding unsupervised learning methods more accurate and flexible than supervised approaches.
bioRxiv · Dec 31, 2020 · PreprintBioengineering