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MACHINE LEARNING

Computational staining of unlabelled tissue

Nature Biomedical Engineering volume 3, pages 425–426 (2019)Cite this article

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Histologically stained slides can be generated from unlabelled autofluorescence images of tissue samples via deep learning.

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Fig. 1: Histological staining (top) and computational staining (bottom) of tissue slides.

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Authors and Affiliations

  1. Center for Biomedical Image Computing and Analytics, Richards Medical Research Laboratories, University of Pennsylvania, Philadelphia, PA, USA

    Spyridon Bakas & Michael D. Feldman

  2. Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Spyridon Bakas & Michael D. Feldman

  3. Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA

    Spyridon Bakas

Authors
  1. Spyridon Bakas
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  2. Michael D. Feldman
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Correspondence to Spyridon Bakas or Michael D. Feldman.

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Bakas, S., Feldman, M.D. Computational staining of unlabelled tissue. Nat Biomed Eng 3, 425–426 (2019). https://doi.org/10.1038/s41551-019-0414-3

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