Evolution and impact of high content imaging.

Autor:	Way GP; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Sailem H; School of Cancer and Pharmaceutical Sciences, King's College London, UK., Shave S; GlaxoSmithKline Medicines Research Centre, Gunnels Wood Rd, Stevenage SG1 2NY, UK; Edinburgh Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, UK., Kasprowicz R; GlaxoSmithKline Medicines Research Centre, Gunnels Wood Rd, Stevenage SG1 2NY, UK., Carragher NO; Edinburgh Cancer Research, Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, UK. Electronic address: n.carragher@ed.ac.uk.
Jazyk:	angličtina
Zdroj:	SLAS discovery : advancing life sciences R & D [SLAS Discov] 2023 Oct; Vol. 28 (7), pp. 292-305. Date of Electronic Publication: 2023 Sep 03.
DOI:	10.1016/j.slasd.2023.08.009
Abstrakt:	The field of high content imaging has steadily evolved and expanded substantially across many industry and academic research institutions since it was first described in the early 1990's. High content imaging refers to the automated acquisition and analysis of microscopic images from a variety of biological sample types. Integration of high content imaging microscopes with multiwell plate handling robotics enables high content imaging to be performed at scale and support medium- to high-throughput screening of pharmacological, genetic and diverse environmental perturbations upon complex biological systems ranging from 2D cell cultures to 3D tissue organoids to small model organisms. In this perspective article the authors provide a collective view on the following key discussion points relevant to the evolution of high content imaging: • Evolution and impact of high content imaging: An academic perspective • Evolution and impact of high content imaging: An industry perspective • Evolution of high content image analysis • Evolution of high content data analysis pipelines towards multiparametric and phenotypic profiling applications • The role of data integration and multiomics • The role and evolution of image data repositories and sharing standards • Future perspective of high content imaging hardware and software. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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