{"title":"通过有源相位调制辅助的动态全视野OCT,快速和无标签的3D虚拟H&E组织学。","authors":"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","doi":"10.1038/s44303-025-00068-0","DOIUrl":null,"url":null,"abstract":"<p><p>Pathological features are the gold standard for tumor diagnosis, guiding treatment and prognosis. However, the standard histopathological process is labor-intensive and time-consuming. Although frozen sections offer a quicker alternative, they often induce severe artifacts and suffer from lower accuracy. Dynamic full-field optical coherence tomography (D-FFOCT) is an innovative optical imaging technique that provides rapid histological information by utilizing subcellular dynamics as an intrinsic source of contrast. Despite its advantages, D-FFOCT images of adjacent tissues frequently exhibit abrupt shifts in hue and brightness, which is confusing for pathologists and diminishes its interpretability and reliability. Here, we present an active phase modulation-assisted D-FFOCT (APMD-FFOCT) to improve the imaging stability and achieve continuity and consistency in image stitching, which also enhances the image contrast of tissues with low metabolic dynamics. This enables us to further employ an unsupervised generative adversarial network 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 can be obtained at a scanning rate of 1 frame per second. Furthermore, we also demonstrate that this novel technique has been successfully applied in cancer diagnosis for the human central nervous system and breast, which proves that this new method will play a new unique and important role in intraoperative histology.</p>","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":"3 1","pages":"12"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118749/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fast and label-free 3D virtual H&E histology via active phase modulation-assisted dynamic full-field OCT.\",\"authors\":\"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\",\"doi\":\"10.1038/s44303-025-00068-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Pathological features are the gold standard for tumor diagnosis, guiding treatment and prognosis. However, the standard histopathological process is labor-intensive and time-consuming. Although frozen sections offer a quicker alternative, they often induce severe artifacts and suffer from lower accuracy. Dynamic full-field optical coherence tomography (D-FFOCT) is an innovative optical imaging technique that provides rapid histological information by utilizing subcellular dynamics as an intrinsic source of contrast. Despite its advantages, D-FFOCT images of adjacent tissues frequently exhibit abrupt shifts in hue and brightness, which is confusing for pathologists and diminishes its interpretability and reliability. Here, we present an active phase modulation-assisted D-FFOCT (APMD-FFOCT) to improve the imaging stability and achieve continuity and consistency in image stitching, which also enhances the image contrast of tissues with low metabolic dynamics. This enables us to further employ an unsupervised generative adversarial network 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 can be obtained at a scanning rate of 1 frame per second. Furthermore, we also demonstrate that this novel technique has been successfully applied in cancer diagnosis for the human central nervous system and breast, which proves that this new method will play a new unique and important role in intraoperative histology.</p>\",\"PeriodicalId\":501709,\"journal\":{\"name\":\"npj Imaging\",\"volume\":\"3 1\",\"pages\":\"12\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118749/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1038/s44303-025-00068-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44303-025-00068-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast and label-free 3D virtual H&E histology via active phase modulation-assisted dynamic full-field OCT.
Pathological features are the gold standard for tumor diagnosis, guiding treatment and prognosis. However, the standard histopathological process is labor-intensive and time-consuming. Although frozen sections offer a quicker alternative, they often induce severe artifacts and suffer from lower accuracy. Dynamic full-field optical coherence tomography (D-FFOCT) is an innovative optical imaging technique that provides rapid histological information by utilizing subcellular dynamics as an intrinsic source of contrast. Despite its advantages, D-FFOCT images of adjacent tissues frequently exhibit abrupt shifts in hue and brightness, which is confusing for pathologists and diminishes its interpretability and reliability. Here, we present an active phase modulation-assisted D-FFOCT (APMD-FFOCT) to improve the imaging stability and achieve continuity and consistency in image stitching, which also enhances the image contrast of tissues with low metabolic dynamics. This enables us to further employ an unsupervised generative adversarial network 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 can be obtained at a scanning rate of 1 frame per second. Furthermore, we also demonstrate that this novel technique has been successfully applied in cancer diagnosis for the human central nervous system and breast, which proves that this new method will play a new unique and important role in intraoperative histology.