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8 March 2016 Depth-resolved nanoscale nuclear architecture mapping for early prediction of cancer progression
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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.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shikhar Uttam, Hoa V. Pham, Justin LaFace, Douglas J. Hartman, and Yang Liu "Depth-resolved nanoscale nuclear architecture mapping for early prediction of cancer progression", Proc. SPIE 9697, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XX, 969728 (8 March 2016);

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