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Imaging Platform
Moshkov N, Bornholdt M, Benoit S, et al. Learning representations for image-based profiling of perturbations. Nature communications. 2024;15(1):1594. doi:10.1038/s41467-024-45999-1
van Dijk R, Arevalo J, Babadi M, Carpenter AE, Singh S. Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning. PLoS computational biology. 2024;20(11):e1012547. doi:10.1371/journal.pcbi.1012547
Serrano E, Chandrasekaran SN, Bunten D, et al. Reproducible image-based profiling with Pycytominer. ArXiv. 2024.
Carpenter AE, Singh S. Bringing computation to biology by bridging the last mile. Nature cell biology. 2024;26(1):5-7. doi:10.1038/s41556-023-01286-7
Cimini BA, Tromans-Coia C, Stirling DR, et al. A postdoctoral training program in bioimage analysis. Molecular biology of the cell. 2024;35(9):pe2. doi:10.1091/mbc.E24-05-0214
Reinke A, Tizabi MD, Baumgartner M, et al. Understanding metric-related pitfalls in image analysis validation. Nature methods. 2024. doi:10.1038/s41592-023-02150-0
Cimini BA, Bankhead P, D’Antuono R, et al. The crucial role of bioimage analysts in scientific research and publication. Journal of cell science. 2024;137(20). doi:10.1242/jcs.262322
Chandrasekaran SN, Cimini BA, Goodale A, et al. Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations. Nature methods. 2024. doi:10.1038/s41592-024-02241-6
Arevalo J, Su E, Ewald JD, van Dijk R, Carpenter AE, Singh S. Evaluating batch correction methods for image-based cell profiling. Nature communications. 2024;15(1):6516. doi:10.1038/s41467-024-50613-5