Fast and label-free 3D virtual H&E histology via active modulation-assisted dynamic full-field OCT

Zichen Yin; Bin He; Yuzhe Ying; Shuwei Zhang; Panqi Yang; Zhengyu Chen; Zhangwei Hu; Yejiong Shi; Ruizhi Xue; Chengming Wang; Shu Wang; Guihuai Wang; Ping Xue

arXiv · 2404.19641

Fast and label-free 3D virtual H&E histology via active modulation-assisted dynamic full-field OCT

Zichen Yin·Bin He·Yuzhe Ying·Shuwei Zhang·Panqi Yang·Zhengyu Chen·Zhangwei Hu·Yejiong Shi·Ruizhi Xue·Chengming Wang·Shu Wang·Guihuai Wang·Ping Xue

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Abstract

Pathological features are the gold standard for tumor diagnosis, guiding treatment and prognosis. However, standard histopathological process is labor-intensive and time-consuming, while frozen sections have lower accuracy. Dynamic full-field optical coherence tomography (D-FFOCT) offers rapid histologic information by measuring the subcellular dynamics of fresh, unprocessed tissues. However, D-FFOCT images suffer from abrupt shifts in hue and brightness, which is confusing for pathologists and diminish their interpretability and reliability. Here, we present active phase modulation-assisted D-FFOCT (APMD-FFOCT) to improve the imaging stability and enhance the contrast of static tissues. This enables us to further employ an unsupervised deep learning to convert APMD-FFOCT images into virtual hematoxylin and eosin (H&E) stained images for the first time. Three-dimensional (3D) virtual H&E-stained images have been obtained at a scanning rate of 1 frame per second, as demonstrated in cancer diagnosis for human central nervous system and breast. The results prove that this new method will play a unique and important role in intraoperative histology.

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Zichen Yin, Bin He, Yuzhe Ying, Shuwei Zhang, Panqi Yang, Zhengyu Chen, Zhangwei Hu, Yejiong Shi, Ruizhi Xue, Chengming Wang, Shu Wang, Guihuai Wang, Ping Xue. 2024-04-27. Fast and label-free 3D virtual H&E histology via active modulation-assisted dynamic full-field OCT. https://arxiv.org/abs/2404.19641

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