Human hepatocellular carcinoma diagnosis by multiphoton autofluorescence microscopy

Tzu-Lin Sun; Yuan Liu; Ming-Chin Sung; Hsiao-Ching Chen; Chuen-Huei Yang; Vladimir Hovhannisyan; Ling-Ling Chiou; Wei-Chou Lin; Guan-Tarn Huang; Ki-Hean Kim; Peter T. C. So; Chih-Ju Lin; Hsuan-Shu Lee; Chen-Yuan Dong

doi:10.1117/12.843157

23 February 2010 Human hepatocellular carcinoma diagnosis by multiphoton autofluorescence microscopy

Tzu-Lin Sun, Yuan Liu, Ming-Chin Sung, Hsiao-Ching Chen, Chuen-Huei Yang, Vladimir Hovhannisyan, Ling-Ling Chiou, Wei-Chou Lin, Guan-Tarn Huang, Ki-Hean Kim, Peter T. C. So, Chih-Ju Lin, Hsuan-Shu Lee, Chen-Yuan Dong

Author Affiliations +

Proceedings Volume 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII; 75551L (2010) https://doi.org/10.1117/12.843157
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Conventionally, the diagnosis of hepatocellular carcinoma (HCC) is performed by qualitative examination of histopathological specimens, which takes times for sample preparation in fixation, section and stain. Our objective is to demonstrate an effective and efficient approach to apply multiphoton microscopy imaging the HCC specimens, with the advantages of being optical section, label-free, subcellular resolution, minimal invasiveness, and the acquisition of quantitative information at the same time. The imaging modality of multiphoton autofluorescence (MAF) was used for the qualitative imaging and quantitative analysis of HCC of different grades under ex-vivo, label-free conditions. We found that while MAF is effective in identifying cellular architecture in the liver specimens, and obtained quantitative parameters in characterizing the disease. Our results demonstrates the capability of using tissue quantitative parameters of multiphoton autofluorescence (MAF), the nuclear number density (NND), and nuclear-cytoplasmic ratio (NCR) for tumor discrimination and that this technology has the potential in clinical diagnosis of HCC and the in-vivo investigation of liver tumor development in animal models.

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Tzu-Lin Sun, Yuan Liu, Ming-Chin Sung, Hsiao-Ching Chen, Chuen-Huei Yang, Vladimir Hovhannisyan, Ling-Ling Chiou, Wei-Chou Lin, Guan-Tarn Huang, Ki-Hean Kim, Peter T. C. So, Chih-Ju Lin, Hsuan-Shu Lee, and Chen-Yuan Dong "Human hepatocellular carcinoma diagnosis by multiphoton autofluorescence microscopy", Proc. SPIE 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII, 75551L (23 February 2010); https://doi.org/10.1117/12.843157

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