Intelligent image-based in situ single-cell isolation.

ABSTRACT: Quantifying heterogeneities within cell populations is important for many fields including cancer research and neurobiology; however, techniques to isolate individual cells are limited. Here, we describe a high-throughput, non-disruptive, and cost-effective isolation method that is capable of capturing individually targeted cells using widely available techniques. Using high-resolution microscopy, laser microcapture microscopy, image analysis, and machine learning, our technology enables scalable molecular genetic analysis of single cells, targetable by morphology or location within the sample.

SUBMITTER: Brasko C 

PROVIDER: S-EPMC5768687 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature