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.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
2R01EB003682-05
Application #
7988123
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Zhang, Yantian
Project Start
2004-04-01
Project End
2014-05-31
Budget Start
2010-08-01
Budget End
2011-05-31
Support Year
5
Fiscal Year
2010
Total Cost
$342,689
Indirect Cost
Name
Northwestern University at Chicago
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
160079455
City
Evanston
State
IL
Country
United States
Zip Code
60201
Khan, Sheema; Zafar, Nadeem; Khan, Shabia S et al. (2018) Clinical significance of MUC13 in pancreatic ductal adenocarcinoma. HPB (Oxford) 20:563-572
Khan, S; Sikander, M; Ebeling, M C et al. (2017) MUC13 interaction with receptor tyrosine kinase HER2 drives pancreatic ductal adenocarcinoma progression. Oncogene 36:491-500
Swain, Timothy D; DuBois, Emily; Goldberg, Scott J et al. (2017) Bleaching response of coral species in the context of assemblage response. Coral Reefs 36:395-400
Sahay, Peeyush; Shukla, Pradeep K; Ghimire, Hemendra M et al. (2017) Quantitative analysis of nanoscale intranuclear structural alterations in hippocampal cells in chronic alcoholism via transmission electron microscopy imaging. Phys Biol 14:026001
Swain, Timothy D; DuBois, Emily; Gomes, Andrew et al. (2016) Skeletal light-scattering accelerates bleaching response in reef-building corals. BMC Ecol 16:10
Swain, Timothy D; Vega-Perkins, Jesse B; Oestreich, William K et al. (2016) Coral bleaching response index: a new tool to standardize and compare susceptibility to thermal bleaching. Glob Chang Biol 22:2475-88
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
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
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 10:169-178
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

Showing the most recent 10 out of 62 publications