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.
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 (Presented at SPIE BiOS: February 18, 2016; Published: 8 March 2016); https://doi.org/10.1117/12.2214688.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the proceedings. They include the speaker's narration with video of the slides and animations. Most include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search our growing collection of more than 16,000 conference presentations, including many plenaries and keynotes.