WSCNet: Biomedical Image Recognition for Cell Encapsulated Microfluidic Droplets.

ABSTRACT: Microfluidic droplets accommodating a single cell as independent microreactors are frequently demanded for single-cell analysis of phenotype and genotype. However, challenges exist in identifying and reducing the covalence probability (following Poisson's distribution) of more than two cells encapsulated in one droplet. It is of great significance to monitor and control the quantity of encapsulated content inside each droplet. We demonstrated a microfluidic system embedded with a weakly supervised cell counting network (WSCNet) to generate microfluidic droplets, evaluate their quality, and further recognize the locations of encapsulated cells. Here, we systematically verified our approach using encapsulated droplets from three different microfluidic structures. Quantitative experimental re

SUBMITTER: Zhou X 

PROVIDER: S-EPMC10452702 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature