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. 2023 Apr 12;97(6):1701–1721. doi: 10.1007/s00204-023-03490-8

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© The Author(s) 2023

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Basis of high-content imaging assay. A Fluorescent probes for the selected endpoints including corresponding positive controls. B Description of the workflow including rapid population-based quantification and detailed single cell analysis. During single cell level analysis, over 800 different features (intensity, size/shape, and texture) per cell were quantified and analyzed using principal component analysis (PCA). Plotted data were then color labeled using the values from following parameters: lipid droplet size, mitotracker intensity and CellROX intensity