Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data.

ABSTRACT: Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM) that uses real-time population-wide object characterization to enable data-driven high-fidelity imaging of relevant phenotypes based on the population context. DDM combines data-independent and data-dependent steps to synergistically enhance data acquired using different imaging modalities. As a proof of concept, we develop and apply DDM with plugins for improved high-content screening and live adaptive microsc

SUBMITTER: Andre O 

PROVIDER: S-EPMC10088093 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature