ALFI: Cell cycle phenotype annotations of label-free time-lapse imaging data from cultured human cells
Abstract Detecting and tracking multiple moving objects in a video is a challenging task. For living cells, the task becomes even more arduous as cells change their morphology over time, can partially overlap, and mitosis leads to new cells. Differently from fluorescence microscopy, label-free techn...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02540-1 |