13 March 2012 Quantitative analysis of collagen change between normal and cancerous thyroid tissues based on SHG method
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Second-harmonic generation (SHG) is proved to be a high spatial resolution, large penetration depth and non-photobleaching method. In our study, SHG method was used to investigate the normal and cancerous thyroid tissue. For SHG imaging performance, system parameters were adjusted for high-contrast images acquisition. Each x-y image was recorded in pseudo-color, which matches the wavelength range in the visible spectrum. The acquisition time for a 512×512-pixels image was 1.57 sec; each acquired image was averaged four frames to improve the signal-to-noise ratio. Our results indicated that collagen presence as determined by counting the ratio of the SHG pixels over the whole pixels for normal and cancerous thyroid tissues were 0.48±0.05, 0.33±0.06 respectively. In addition, to quantitatively assess collagen-related changes, we employed GLCM texture analysis to the SHG images. Corresponding results showed that the correlation both fell off with distance in normal and cancerous group. Calculated value of Corr50 (the distance where the correlation crossed 50% of the initial correlation) indicated significant difference. This study demonstrates that SHG method can be used as a complementary tool in thyroid histopathology.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiwen Chen, Xiwen Chen, Zufang Huang, Zufang Huang, Gangqin Xi, Gangqin Xi, Yongjian Chen, Yongjian Chen, Duo Lin, Duo Lin, Jing Wang, Jing Wang, Zuanfang Li, Zuanfang Li, Liqing Sun, Liqing Sun, Jianxin Chen, Jianxin Chen, Rong Chen, Rong Chen, } "Quantitative analysis of collagen change between normal and cancerous thyroid tissues based on SHG method", Proc. SPIE 8329, Tenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2011), 83290H (13 March 2012); doi: 10.1117/12.918850; https://doi.org/10.1117/12.918850

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