Assessing the performance of the Cell Painting assay across different imaging systems.

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Cytometry Part A Pub Date : 2023-11-01 Epub Date: 2023-10-03 DOI:10.1002/cyto.a.24786
Callum Tromans-Coia, Nasim Jamali, Hamdah Shafqat Abbasi, Kenneth A Giuliano, Mai Hagimoto, Kevin Jan, Erika Kaneko, Stefan Letzsch, Alexander Schreiner, Jonathan Z Sexton, Mahomi Suzuki, O Joseph Trask, Mitsunari Yamaguchi, Fumiki Yanagawa, Michael Yang, Anne E Carpenter, Beth A Cimini
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引用次数: 0

Abstract

Quantitative microscopy is a powerful method for performing phenotypic screens from which image-based profiling can extract a wealth of information, termed profiles. These profiles can be used to elucidate the changes in cellular phenotypes across cell populations from different patient samples or following genetic or chemical perturbations. One such image-based profiling method is the Cell Painting assay, which provides morphological insight through the imaging of eight cellular compartments. Here, we examine the performance of the Cell Painting assay across multiple high-throughput microscope systems and find that all are compatible with this assay. Furthermore, we determine independently for each microscope system the best performing settings, providing those who wish to adopt this assay an ideal starting point for their own assays. We also explore the impact of microscopy setting changes in the Cell Painting assay and find that few dramatically reduce the quality of a Cell Painting profile, regardless of the microscope used.

评估不同成像系统中细胞绘画测定的性能。
定量显微镜是进行表型筛选的一种强大方法,基于图像的图谱可以从中提取丰富的信息,称为图谱。这些图谱可用于阐明不同患者样本或遗传或化学扰动后细胞群中细胞表型的变化。一种基于图像的分析方法是细胞绘画分析,它通过对八个细胞区室的成像提供形态学见解。在这里,我们在多个高通量显微镜系统中检查了细胞绘画测定的性能,发现所有这些都与该测定兼容。此外,我们独立确定每个显微镜系统的最佳性能设置,为那些希望采用这种分析的人提供了自己分析的理想起点。我们还探讨了显微镜设置变化对细胞绘画测定的影响,发现无论使用何种显微镜,都很少有人能显著降低细胞绘画剖面的质量。
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
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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