Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging

doi:10.1088/1674-1056/acea67

中国物理B ›› 2023, Vol. 32 ›› Issue (11): 118703-118703.doi: 10.1088/1674-1056/acea67

所属专题： SPECIAL TOPIC — Celebrating the 100th Anniversary of Physics Discipline of Northwest University

Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging

Bing-Ran Gao(高冰然)¹, Xi-Wen Chen(陈希文)², Bao-Ping Zhang(张宝萍)¹, Ivan A. Bratchenko³, Jian-Xin Chen(陈建新)², Shuang Wang(王爽)¹, and Si-Yuan Xu(许思源)^1,†

1 Institute of Photonics and Photon-Technology, Northwest University, Xi'an 710127, China;
2 Key Laboratory of Opto-Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China;
3 Laser and Biotechnical Systems Department, Samara National Research University, Samara 443086, Russia

收稿日期:2023-05-17 修回日期:2023-07-21 接受日期:2023-07-26 出版日期:2023-10-16 发布日期:2023-10-31
通讯作者: Si-Yuan Xu E-mail:xusy@nwu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 61911530695) and the Key Research and Development Project of Shaanxi Province of China (Grant No. 2023-YBSF-671).

Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging

Bing-Ran Gao(高冰然)¹, Xi-Wen Chen(陈希文)², Bao-Ping Zhang(张宝萍)¹, Ivan A. Bratchenko³, Jian-Xin Chen(陈建新)², Shuang Wang(王爽)¹, and Si-Yuan Xu(许思源)^1,†

1 Institute of Photonics and Photon-Technology, Northwest University, Xi'an 710127, China;
2 Key Laboratory of Opto-Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350007, China;
3 Laser and Biotechnical Systems Department, Samara National Research University, Samara 443086, Russia

Received:2023-05-17 Revised:2023-07-21 Accepted:2023-07-26 Online:2023-10-16 Published:2023-10-31
Contact: Si-Yuan Xu E-mail:xusy@nwu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 61911530695) and the Key Research and Development Project of Shaanxi Province of China (Grant No. 2023-YBSF-671).

摘要/Abstract

摘要： For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis.

关键词: nonlinear multiphoton microscopic imaging, Raman microspectral imaging, breast cancer

Abstract: For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma in situ (DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis.

Key words: nonlinear multiphoton microscopic imaging, Raman microspectral imaging, breast cancer

中图分类号: (Biomedical imaging)

87.85.Pq

87.64.mn (Multiphoton) 87.64.M- (Optical microscopy) 87.64.kp (Raman)

Bing-Ran Gao(高冰然), Xi-Wen Chen(陈希文), Bao-Ping Zhang(张宝萍), Ivan A. Bratchenko, Jian-Xin Chen(陈建新), Shuang Wang(王爽), and Si-Yuan Xu(许思源). Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging[J]. 中国物理B, 2023, 32(11): 118703-118703.

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Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging

Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging

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