Yonatan Winetraub, Aidan Van Vleck, Edwin Yuan, Itamar Terem, Jinjing Zhao, Caroline Yu, Warren Chan, Hanh Do, Saba Shevidi, Maiya Mao, Jacqueline Yu, Megan Hong, Erick Blankenberg, Kerri E Rieger, Steven Chu, Sumaira Aasi, Kavita Y Sarin, Adam de la Zerda
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, and disease diagnosis. Producing H&E sections, however, is invasive and time-consuming. While deep learning has shown promise in virtual staining of unstained tissue slides, true virtual biopsy requires staining of images taken from intact tissue. In this work, we developed a micron-accuracy coregistration method [micro-registered optical coherence tomography (OCT)] that can take a two-dimensional (2D) H&E slide and find the exact corresponding section in a 3D OCT image taken from the original fresh tissue...
April 12, 2024: Science Advances