Digital histopathology using optical coherence microscopy(OCM) and deep learning

Abstract

Histological optical imaging is a gold standard method to observe biological tissues. However, this technique is a time-consuming and labor-intensive process. In this study, we introduce the new approach for digital histopathology which is based on OCM and deep learning. We developed a fully automated multi-scale OCM system equipped with user-friendly operating software and a deep learning module. Various tissues including the cancer model were imaged by OCM, which was further virtually stained. In conclusion, our system offers an efficient process in terms of acquisition time, digitalization and interpretation