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Chin. Phys. B, 2023, Vol. 32(11): 118703    DOI: 10.1088/1674-1056/acea67
Special Issue: SPECIAL TOPIC — Celebrating the 100th Anniversary of Physics Discipline of Northwest University
SPECIAL TOPIC—Celebrating the 100th Anniversary of Physics Discipline of Northwest University Prev   Next  

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
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.
Keywords:  nonlinear multiphoton microscopic imaging      Raman microspectral imaging      breast cancer  
Received:  17 May 2023      Revised:  21 July 2023      Accepted manuscript online:  26 July 2023
PACS:  87.85.Pq (Biomedical imaging)  
  87.64.mn (Multiphoton)  
  87.64.M- (Optical microscopy)  
  87.64.kp (Raman)  
Fund: 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).
Corresponding Authors:  Si-Yuan Xu     E-mail:  xusy@nwu.edu.cn

Cite this article: 

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 2023 Chin. Phys. B 32 118703

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