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Cell-ACDC: a user-friendly toolset embedding state-of-the-art neural networks for segmentation, tracking and cell cycle annotations of live-cell imaging data

Francesco Padovani, Benedikt Mairhörmann, Pascal Falter-Braun, Jette Lengefeld, Kurt M. Schmoller
doi: https://doi.org/10.1101/2021.09.28.462199

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Posted September 30, 2021.
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Cell-ACDC: a user-friendly toolset embedding state-of-the-art neural networks for segmentation, tracking and cell cycle annotations of live-cell imaging data
Francesco Padovani, Benedikt Mairhörmann, Pascal Falter-Braun, Jette Lengefeld, Kurt M. Schmoller
bioRxiv 2021.09.28.462199; doi: https://doi.org/10.1101/2021.09.28.462199
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