Case Studies

• Industrial research collaboration: Image-based screening of 3D cancer cell models 

• 3D cell painting: single-cell segmentation of cancer/co-cultured spheroids with Cell Painting

• Blood cell painting: morphological single-cell analysis of peripheral blood mononuclear cells of healthy blood donors with Blood Cell Painting

• Sort-to-Cell Paint: linking cell types and morphologies by flow cytometric cell sorting and Cell Painting

Few examples of publications where FIMM-HCA services have been used:

• Longitudinal autophagy profiling of the mammalian brain reveals sustained mitophagy throughout healthy aging, EMBO J. 43: 6199 - 6231, 2024 

• Achieving high-resolution single-cell segmentation in convoluted cancer spheroids via Bayesian optimization and deep-learning, bioRxiv 2024.09.08.611898

• Morphological single-cell analysis of peripheral blood mononuclear cells from 390 healthy blood donors with Blood Cell Painting, bioRxiv 2024.05.17.594648

• Image-based and machine learning-guided multiplexed serology test for SARS-CoV-2, Cell Reports Methods. 3(8), 2023

• Comparison of two supporting matrices for patient-derived cancer cells in 3D drug sensitivity and resistance testing assay (3D-DSRT), SLAS discov. 28(4), 2023

• Protocol for 3D drug sensitivity and resistance testing of patient-derived cancer cells in 384-well plates, SLAS discov. 28(2), 2022
• Regression plane concept for analyzing continuous cellular processes with machine learning, Nature Communcations. 12(1), 2021
• SpheroidPicker for automated 3D cell culture manipulation using deep learning, Scientific Reports. 11(1), 2021

• Intelligent image-based in situ single-cell isolation, Nature Communications. 9(1), 2018