Quantifying co-cultured cell phenotypes in high-throughput using pixel-based classification.

ABSTRACT: Biologists increasingly use co-culture systems in which two or more cell types are grown in cell culture together in order to better model cells' native microenvironments. Co-cultures are often required for cell survival or proliferation, or to maintain physiological functioning in vitro. Having two cell types co-exist in culture, however, poses several challenges, including difficulties distinguishing the two populations during analysis using automated image analysis algorithms. We previously analyzed co-cultured primary human hepatocytes and mouse fibroblasts in a high-throughput image-based chemical screen, using a combination of segmentation, measurement, and subsequent machine learning to score each cell as hepatocyte or fibroblast. While this approach was successful in counting hepat

SUBMITTER: Logan DJ 

PROVIDER: S-EPMC4766037 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature