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Leveraging machine vision in cell-based diagnostics to do more with less

Nature Materials volume 18, pages 414–418 (2019)Cite this article

Highly quantitative, robust, single-cell analyses can help to unravel disease heterogeneity and lead to clinical insights, particularly for complex and chronic diseases. Advances in computer vision and machine learning can empower label-free cell-based diagnostics to capture subtle disease states.

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Fig. 1: Valuable information is hidden in label-free images.
Fig. 2: AI-powered point-of-care diagnostics usher in the era of precision medicine.

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Authors and Affiliations

  1. Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Minh Doan & Anne E. Carpenter

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  1. Minh Doan
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  2. Anne E. Carpenter
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Correspondence to Minh Doan.

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Doan, M., Carpenter, A.E. Leveraging machine vision in cell-based diagnostics to do more with less. Nat. Mater. 18, 414–418 (2019). https://doi.org/10.1038/s41563-019-0339-y

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