SPECTROSCOPY, IMAGING, OTHER TECHNIQUES |
Light Scattering from Collagen Fiber Networks: Micro-Optical Properties of Normal and Neoplastic Stroma
Dizem Arifler 1, Ina Pavlova 2, Ann Gillenwater 3 and Rebecca Richards-Kortum 4*
1 Eastern Mediterranean University
2 The University of Texas at Austin
3 The University of Texas M. D. Anderson Cancer Center
4 Rice University
* To whom correspondence should be addressed. E-mail: rkortum{at}rice.edu.
Submitted on May 24, 2006
Revised on July 12, 2006
Accepted on 17 January 2007
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Abstract |
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Development of epithelial pre-cancer and cancer leads to well-documented molecular and structural changes in the epithelium; recently, it has been recognized that stromal biology is also altered significantly with preinvasive disease. We used the Finite-Difference Time-Domain (FDTD) method, a popular technique in computational electromagnetics, to model light scattering from heterogeneous collagen fiber networks and to analyze how neoplastic changes alter stromal scattering properties. Three-dimensional optical images from the stroma of fresh normal and neoplastic oral cavity biopsies were acquired using fluorescence confocal microscopy. These optical sections were then processed to create realistic three-dimensional collagen networks as model input. Image analysis revealed that volume fraction of collagen fibers in the stroma decreases with pre-cancer and cancer progression, and fibers tend to be shorter and more disconnected in neoplastic stroma. The FDTD modeling results showed that neoplastic fiber networks have smaller scattering cross-sections compared to normal networks. Scattering phase functions computed indicate that high-angle scattering probabilities tend to be higher for neoplastic networks. These results provide valuable insight into the micro-optical properties of normal and neoplastic stroma. Characterization of optical signals obtained from epithelial tissues can aid in development of optical spectroscopic and imaging techniques for noninvasive monitoring of early neoplastic changes.
Key Words:
Haralick texture features, epithelial-stromal communication, finite-difference time-domain modeling, fluorescence confocal microscopy, scattering pattern, squamous cell carcinoma
