AAAS BME Frontiers Volume 2020, Article ID 9647163, 11 pages https://doi.org/10.34133/2020/9647163 Review Article Emerging Advances to Transform Histopathology Using Virtual Staining Yair Rivenson ,1,2,3 Kevin de Haan ,1,2,3 W. Dean Wallace ,4 and Aydogan Ozcan 1,2,3,5 1Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA 2Bioengineering Department, University of California, Los Angeles, CA, USA 3California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA 4Department of Pathology and Laboratory Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA 5Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, USA Correspondence should be addressed to Yair Rivenson;
[email protected] and Aydogan Ozcan;
[email protected] Received 15 June 2020; Accepted 28 July 2020; Published 25 August 2020 Copyright © 2020 Yair Rivenson et al. Exclusive Licensee Suzhou Institute of Biomedical Engineering and Technology, CAS. Distributed under a Creative Commons Attribution License (CC BY 4.0). In an age where digitization is widespread in clinical and preclinical workflows, pathology is still predominantly practiced by microscopic evaluation of stained tissue specimens affixed on glass slides. Over the last decade, new high throughput digital scanning microscopes have ushered in the era of digital pathology that, along with recent advances in machine vision, have opened up new possibilities for Computer-Aided-Diagnoses. Despite these advances, the high infrastructural costs related to digital pathology and the perception that the digitization process is an additional and nondirectly reimbursable step have challenged its widespread adoption.