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A self-supervised machine learning pipeline for extracting information from live cell images at multiple doses and timepoints

Abstract Live cells are complex information-processing systems that continuously sense their environment and respond dynamically. However, conventional endpoint assays typically require fixation or cell destruction and fail to capture complex temporal changes. Live brightfield imaging offers a scala...

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Бібліографічні деталі
Автори: Dmitry Yu. Isaev, Wen Pei Liu, Marc Cuevas, Yubo Tang, Kenny Ang, Chris Wilson, Quynh Mai, Jovani Adra, Allan Cruz, Khoi Nguyen, Michael Ricasa, Ankur Gupta, Mehrdad Hamadani, Deepa Sridharan, Yerem Yeghiazarians, Kurosh Ameri
Формат: Artigo
Мова:Inglês
Опубліковано: Nature Portfolio 2026-01-01
Серія:Scientific Reports
Онлайн доступ:https://doi.org/10.1038/s41598-025-32685-5
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