This project addresses development of novel analytical, computational and experimental methodologies to model and analyze light scattering in biological tissue. Elastic scattering is the dominant mechanism of light-tissue interaction, plays a fundamental role in all light transport processes, and has been widely employed to provide diagnostic information about tissue structure and composition. However, elastic scattering in such complex media as tissue has not been fully understood. Questions remain regarding the origins of scattering in tissue and the appropriate methods of interpreting scattering signals. Bridging this gap is the main objective of the project. We will focus on elastic light interactions for microscopy applications. This requires development of innovative computational and experimental solutions. The study will elucidate which cellular structures affect scattering signal and image formation, which morphological properties of cells can be studied optically and, equally importantly, which properties cannot be probed. In particular, the focus will be on sensing sub-diffractional, nanoscale properties of cells. We will develop a free, open-source, user-friendly finite-difference time-domain (FDTD) electromagnetic simulation software for use in biomedical light scattering applications. We will relate optical and ultrastructural properties of cells. Finally, using the computational and experimental methodologies developed in the course of the project, we will identify specific cellular origins of nanoarchitectural changes in early carcinogenesis.

Public Health Relevance

Development of robust methods of analysis of light-tissue interaction will allow design of optical techniques for tissue diagnosis. In particular, the proposed work will facilitate development of a microscopic technique to identify some of the earliest alterations of cellular nanoarchitecture in carcinogenesis.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Research Project (R01)
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Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Conroy, Richard
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Northwestern University at Chicago
Biomedical Engineering
Schools of Engineering
United States
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Khan, S; Sikander, M; Ebeling, M C et al. (2016) MUC13 interaction with receptor tyrosine kinase HER2 drives pancreatic ductal adenocarcinoma progression. Oncogene :
Swain, Timothy D; DuBois, Emily; Gomes, Andrew et al. (2016) Skeletal light-scattering accelerates bleaching response in reef-building corals. BMC Ecol 16:10
Mutyal, Nikhil N; Radosevich, Andrew J; Bajaj, Shailesh et al. (2015) In vivo risk analysis of pancreatic cancer through optical characterization of duodenal mucosa. Pancreas 44:735-41
Radosevich, Andrew J; Eshein, Adam; Nguyen, The-Quyen et al. (2015) Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm. J Biomed Opt 20:097002
Cherkezyan, Lusik; Subramanian, Hariharan; Backman, Vadim (2014) What structural length scales can be detected by the spectral variance of a microscope image? Opt Lett 39:4290-3
Cherkezyan, Lusik; Stypula-Cyrus, Yolanda; Subramanian, Hariharan et al. (2014) Nanoscale changes in chromatin organization represent the initial steps of tumorigenesis: a transmission electron microscopy study. BMC Cancer 14:189
Black, Kvar C L; Sileika, Tadas S; Yi, Ji et al. (2014) Bacterial killing by light-triggered release of silver from biomimetic metal nanorods. Small 10:169-78
Patel, Mihir; Gomes, Andrew; Ruderman, Sarah et al. (2014) Polarization gating spectroscopy of normal-appearing duodenal mucosa to detect pancreatic cancer. Gastrointest Endosc 80:786-93.e1-2
Cherkezyan, L; Capoglu, I; Subramanian, H et al. (2013) Interferometric spectroscopy of scattered light can quantify the statistics of subdiffractional refractive-index fluctuations. Phys Rev Lett 111:033903
Mutyal, Nikhil N; Radosevich, Andrew; Tiwari, Ashish K et al. (2013) Biological mechanisms underlying structural changes induced by colorectal field carcinogenesis measured with low-coherence enhanced backscattering (LEBS) spectroscopy. PLoS One 8:e57206

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