Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases

Hongje Jang; Zhi Li; Ellen Ackerstaff; Jason A. Koutcher; Lingyan Shi

doi:10.1117/12.2677905

5 October 2023 Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases

Hongje Jang, Zhi Li, Ellen Ackerstaff, Jason A. Koutcher, Lingyan Shi

Author Affiliations +

Proceedings Volume 12681, Ultrafast Nonlinear Imaging and Spectroscopy XI; 1268102 (2023) https://doi.org/10.1117/12.2677905
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

In this study, we developed a new technique to analyze spatial correlation between metabolic activities of multiple biomolecules. Using a multimodal imaging platform integrating Stimulated Raman Scattering (SRS), Multiphoton Fluorescence (MPF), and Second Harmonic Generation (SHG), together with an image deconvolution algorithm, we obtained super resolution images of biomolecular metabolism and investigated the correlations between metabolic activities and distributions of metabolites in tissues such as breast cancer tissues. Further, we developed a Pearson’s Correlation Coefficient based algorithm to examine the co-registration and co-regulation of metabolic activities in multiple channels of super-resolved images of nanoscopic Regions of Interest (ROIs). The multimodal imaging platform and Pearson’s correlation coefficient-based algorithm potentially facilitate early-stage breast cancer detection, and mechanistic understanding of breast cancer.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongje Jang, Zhi Li, Ellen Ackerstaff, Jason A. Koutcher, and Lingyan Shi "Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases", Proc. SPIE 12681, Ultrafast Nonlinear Imaging and Spectroscopy XI, 1268102 (5 October 2023); https://doi.org/10.1117/12.2677905

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