Automated high-throughput image processing as part of the screening platform for personalized oncology.

ABSTRACT: Cancer is a devastating disease and the second leading cause of death worldwide. However, the development of resistance to current therapies is making cancer treatment more difficult. Combining the multi-omics data of individual tumors with information on their in-vitro Drug Sensitivity and Resistance Test (DSRT) can help to determine the appropriate therapy for each patient. Miniaturized high-throughput technologies, such as the droplet microarray, enable personalized oncology. We are developing a platform that incorporates DSRT profiling workflows from minute amounts of cellular material and reagents. Experimental results often rely on image-based readout techniques, where images are often constructed in grid-like structures with heterogeneous image processing targets. However, manual im

SUBMITTER: Schilling MP 

PROVIDER: S-EPMC10060403 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature