Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)

Jingxi Li; Jason Garfinkel; Xiaoran Zhang; Di Wu; Yijie Zhang; Kevin de Haan; Hongda Wang; Tairan Liu; Bijie Bai; Yair Rivenson; Gennady Rubinstein; Philip O. Scumpia; Aydogan Ozcan

doi:10.1117/12.2648150

16 March 2023 Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O. Scumpia, Aydogan Ozcan

Author Affiliations +

Proceedings Volume PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023; PC123910U (2023) https://doi.org/10.1117/12.2648150
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

We report label-free, in vivo virtual histology of skin using reflectance confocal microscopy (RCM). We trained a deep neural network to transform in vivo RCM images of unstained skin into virtually stained H&E-like microscopic images with nuclear contrast. This framework successfully generalized to diverse skin conditions, e.g., normal skin, basal cell carcinoma, and melanocytic nevi, as well as distinct skin layers, including the epidermis, dermal-epidermal junction, and superficial dermis layers. This label-free in vivo skin virtual histology framework can be transformative for faster and more accurate diagnosis of malignant skin neoplasms, with the potential to significantly reduce unnecessary skin biopsies.

Conference Presentation

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Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O. Scumpia, and Aydogan Ozcan "Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910U (16 March 2023); https://doi.org/10.1117/12.2648150

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