@inproceedings{577bc69101ed4b3a92aa90e314af0347,
title = "Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases",
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{\textquoteright}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{\textquoteright}s correlation coefficient-based algorithm potentially facilitate early-stage breast cancer detection, and mechanistic understanding of breast cancer.",
keywords = "cancer, metabolic imaging, multimodal, multiphoton, second harmonic generation, spatial correlation, stimulated Raman, super resolution",
author = "Hongje Jang and Zhi Li and Ellen Ackerstaff and Koutcher, {Jason A.} and Lingyan Shi",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE. All rights reserved.; Ultrafast Nonlinear Imaging and Spectroscopy XI 2023 ; Conference date: 21-08-2023 Through 22-08-2023",
year = "2023",
doi = "10.1117/12.2677905",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhiwen Liu and Demetri Psaltis and Kebin Shi",
booktitle = "Ultrafast Nonlinear Imaging and Spectroscopy XI",
}