Nanoscale nuclear architecture mapping (nanoNAM) is a label free imaging method based on the Fourier phase of Fourier-domain optical coherence tomography. It is capable of capturing, with nanoscale sensitivity, preneoplastic alterations in nuclear architecture of normal appearing cells undergoing malignant transformation both in animal models of carcinogenesis and human patients. In this talk I will present its theory and implementation from first principles and demonstrate its utility in a range of cancer settings. I will further present our recent results on testing the hypothesis that the ability of nanoNAM to capture early-stage malignant transformation is due to its sensitivity to the underlying aberrant structural alterations associated with chromatin remodeling during early stages of carcinogenesis. I will conclude by discussing its potential for use in the clinic.

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Shikhar Uttam, "Nanoscale nuclear architecture mapping of early carcinogenesis (Conference Presentation)," Proc. SPIE PC12389, Quantitative Phase Imaging IX, PC123890O (Presented at SPIE BiOS: January 29, 2023; Published: 16 March 2023); https://doi.org/10.1117/12.2659388.6321657744112.