The new deep-learning network can identify whether a cell is alive or dead, and get the answer right 98% of the time (humans can typically only identify a dead cell with 80% accuracy) — without requiring invasive fluorescent chemicals, which make it difficult to track tissues over time. The deep-learning network can also predict detailed features such as nuclei and cell type (such as neural or breast cancer tissue).

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