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Proceedings Paper

Depth-resolved nanoscale nuclear architecture mapping for early prediction of cancer progression
Author(s): Shikhar Uttam; Hoa V. Pham; Justin LaFace; Douglas J. Hartman; Yang Liu
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Paper Abstract

Effective management of patients who are at risk of developing invasive cancer is a primary challenge in early cancer detection. Techniques that can help establish clear-cut protocols for successful triaging of at-risk patients have the potential of providing critical help in improving patient care while simultaneously reducing patient cost. We have developed such a technique for early prediction of cancer progression that uses unstained tissue sections to provide depth-resolved nanoscale nuclear architecture mapping (nanoNAM) of heterogeneity in optical density alterations manifested in precancerous lesions during cancer progression. We present nanoNAM and its application to predicting cancer progression in a well-established mouse model of spontaneous carcinogenesis: ApcMin/+ mice.

Paper Details

Date Published: 8 March 2016
PDF: 7 pages
Proc. SPIE 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX, 969728 (8 March 2016); doi: 10.1117/12.2214688
Show Author Affiliations
Shikhar Uttam, Univ. of Pittsburgh (United States)
Hoa V. Pham, Univ. of Pittsburgh (United States)
Justin LaFace, Univ. of Pittsburgh (United States)
Douglas J. Hartman, Univ. of Pittsburgh School of Medicine (United States)
Yang Liu, Univ. of Pittsburgh (United States)
Univ. of Pittsburgh Cancer Institute (United States)


Published in SPIE Proceedings Vol. 9697:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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