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Proceedings Paper

Differentiating normal and cancerous stroma by nonlinear spectral imaging
Author(s): Shuangmu Zhuo; Jianxin Chen; Shusen Xie; Liqin Zheng; Xiaoqin Zhu; Xingshan Jiang
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Paper Abstract

In this work, we demonstrate the use of the nonlinear spectral imaging technique in differentiating normal and cancerous stroma. It was found that nonlinear spectral images from normal and neoplastic stroma exhibit different organization features. Combining the image-guided spectral analysis function and the extracting channels function, some information on the biomorphology and biochemistry of tissue can be acquired, including alteration in proportions of matrix molecules, collagen-related changes, elastin-related changes. These results give insight into the stromal changes associated with cancer progression and provide substantial potential to be applied in vivo the clinical diagnosis of epithelial precancers and cancers.

Paper Details

Date Published: 28 October 2009
PDF: 4 pages
Proc. SPIE 7519, Eighth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2009), 75190F (28 October 2009); doi: 10.1117/12.841971
Show Author Affiliations
Shuangmu Zhuo, Fujian Normal Univ. (China)
Jianxin Chen, Fujian Normal Univ. (China)
Shusen Xie, Fujian Normal Univ. (China)
Liqin Zheng, Fujian Normal Univ. (China)
Xiaoqin Zhu, Fujian Normal Univ. (China)
Xingshan Jiang, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 7519:
Eighth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2009)
Qingming Luo; Lihong V. Wang; Valery V. Tuchin; Pengcheng Li; Ling Fu, Editor(s)

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