Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network
Pathological imaging of surgically excised specimens is the gold standard in clinical practice for diagnosing diseases and making treatment decisions. However, the limited depth of field (DOF) of conventional optical microscopy requires fixing and sectioning of excised samples, which is a cumbersome...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2025-01-01
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| Series: | APL Photonics |
| Online Access: | http://dx.doi.org/10.1063/5.0244272 |
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| author | Yuezhi He Xu Yang Shiwei Ye Zonghua Wen Peng Liu Hui Li Feng Xiang Jiuling Liao Yizhou Tan Haoyong Ning Junjie Zou Guilu He Long Zeng Yanwu Guo Hui Li Ying Gu Bo Wang Wei Zheng |
| author_facet | Yuezhi He Xu Yang Shiwei Ye Zonghua Wen Peng Liu Hui Li Feng Xiang Jiuling Liao Yizhou Tan Haoyong Ning Junjie Zou Guilu He Long Zeng Yanwu Guo Hui Li Ying Gu Bo Wang Wei Zheng |
| author_sort | Yuezhi He |
| collection | DOAJ |
| description | Pathological imaging of surgically excised specimens is the gold standard in clinical practice for diagnosing diseases and making treatment decisions. However, the limited depth of field (DOF) of conventional optical microscopy requires fixing and sectioning of excised samples, which is a cumbersome and lengthy process that significantly increases the time cost of acquiring pathological images. In this study, we propose deep-learning-powered, extended-DOF, dark-field reflectance ultraviolet microscopy (DE-DRUM) for rapid and large-DOF imaging of surgically resected tissues. The system first integrates two cameras positioned at two distinct imaging planes to simultaneously acquire images and then combines the images with a self-calibrated diplane network. The overall DOF of the system is enhanced over eight-folds, and the image acquisition speed is increased by more than seven times. By incorporating the diplane network into a custom-made vacuum compression device, intact and unprocessed mouse brain and human glioma samples are imaged. The results show that DE-DRUM captures pathological features across highly uneven tissue surfaces. DE-DRUM is a rapid, large-DOF, and label-free histological imaging method that holds great potential for application in clinical histopathological diagnosis. In addition, the design of the diplane imaging setup and network provides a plug-and-play solution for large-DOF imaging of various wide-field imaging modalities. |
| format | Article |
| id | doaj-art-d2920d65bf6f48d292332480065e0655 |
| institution | Kabale University |
| issn | 2378-0967 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | APL Photonics |
| spelling | doaj-art-d2920d65bf6f48d292332480065e06552025-02-03T16:36:22ZengAIP Publishing LLCAPL Photonics2378-09672025-01-01101016109016109-1510.1063/5.0244272Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane networkYuezhi He0Xu Yang1Shiwei Ye2Zonghua Wen3Peng Liu4Hui Li5Feng Xiang6Jiuling Liao7Yizhou Tan8Haoyong Ning9Junjie Zou10Guilu He11Long Zeng12Yanwu Guo13Hui Li14Ying Gu15Bo Wang16Wei Zheng17Research Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Pathology, Shenzhen University General Hospital, Shenzhen University, Shenzhen 518055, Guangdong, ChinaDepartment of General Surgery, Shenzhen University General Hospital, Shenzhen University, Shenzhen 518055, Guangdong, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Laser Medicine, the First Medical Center, Chinese PLA General Hospital, Beijing, ChinaDepartment of Pathology, Hainan Hospital, Chinese PLA General Hospital, Sanya, ChinaDepartment of Neurosurgery, Zhujiang Hospital of Southern Medical University (Second Clinical Medical College), Guangzhou, ChinaDepartment of Neurosurgery, Zhujiang Hospital of Southern Medical University (Second Clinical Medical College), Guangzhou, ChinaDepartment of Neurosurgery, Zhujiang Hospital of Southern Medical University (Second Clinical Medical College), Guangzhou, ChinaDepartment of Neurosurgery, Zhujiang Hospital of Southern Medical University (Second Clinical Medical College), Guangzhou, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaDepartment of Laser Medicine, the First Medical Center, Chinese PLA General Hospital, Beijing, ChinaSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaResearch Center for Biomedical Optics and Molecular lmaging, Shenzhen Key Laboratory for Molecular lmaging, Guangdong Provincial Key Laboratory of Biomedical Optical lmaging Technology, Shenzhen institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaPathological imaging of surgically excised specimens is the gold standard in clinical practice for diagnosing diseases and making treatment decisions. However, the limited depth of field (DOF) of conventional optical microscopy requires fixing and sectioning of excised samples, which is a cumbersome and lengthy process that significantly increases the time cost of acquiring pathological images. In this study, we propose deep-learning-powered, extended-DOF, dark-field reflectance ultraviolet microscopy (DE-DRUM) for rapid and large-DOF imaging of surgically resected tissues. The system first integrates two cameras positioned at two distinct imaging planes to simultaneously acquire images and then combines the images with a self-calibrated diplane network. The overall DOF of the system is enhanced over eight-folds, and the image acquisition speed is increased by more than seven times. By incorporating the diplane network into a custom-made vacuum compression device, intact and unprocessed mouse brain and human glioma samples are imaged. The results show that DE-DRUM captures pathological features across highly uneven tissue surfaces. DE-DRUM is a rapid, large-DOF, and label-free histological imaging method that holds great potential for application in clinical histopathological diagnosis. In addition, the design of the diplane imaging setup and network provides a plug-and-play solution for large-DOF imaging of various wide-field imaging modalities.http://dx.doi.org/10.1063/5.0244272 |
| spellingShingle | Yuezhi He Xu Yang Shiwei Ye Zonghua Wen Peng Liu Hui Li Feng Xiang Jiuling Liao Yizhou Tan Haoyong Ning Junjie Zou Guilu He Long Zeng Yanwu Guo Hui Li Ying Gu Bo Wang Wei Zheng Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network APL Photonics |
| title | Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network |
| title_full | Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network |
| title_fullStr | Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network |
| title_full_unstemmed | Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network |
| title_short | Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network |
| title_sort | extended depth of field microscopic imaging for intact histological samples via self calibrated diplane network |
| url | http://dx.doi.org/10.1063/5.0244272 |
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