Evolution and impact of high content imaging

IF 2.7 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

SLAS Discovery Pub Date : 2023-10-01 DOI:10.1016/j.slasd.2023.08.009

Gregory P. Way , Heba Sailem , Steven Shave , Richard Kasprowicz , Neil O. Carragher

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引用次数: 1

Abstract

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

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高内容成像的演变和影响

自20世纪90年代初首次被描述以来，高内容成像领域已经在许多行业和学术研究机构中稳步发展和扩展。高含量成像是指从各种生物样品类型中自动获取和分析显微图像。高含量成像显微镜与多孔板处理机器人技术的集成使高含量成像能够大规模进行，并支持从2D细胞培养到3D组织类器官到小型模式生物等复杂生物系统的药理，遗传和各种环境扰动的中高通量筛选。在这篇透视文章中，作者就以下与高内容成像发展相关的关键讨论点提供了集体观点:•高内容成像的发展和影响:学术视角•高内容成像的发展和影响:行业前景•高内容图像分析的演变•向多参数和表型分析应用的高内容数据分析管道的演变•数据集成和多组学的作用•图像数据存储库和共享标准的作用和演变•高内容成像硬件和软件的未来前景

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SLAS Discovery Chemistry-Analytical Chemistry

CiteScore

7.00

自引率

3.20%

发文量

审稿时长

39 days

期刊介绍： Advancing Life Sciences R&D: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology. SLAS Discovery is a member of the Committee on Publication Ethics (COPE) and was published previously (1996-2016) as the Journal of Biomolecular Screening (JBS).