Authors: | Jang, H.; Li, Z.; Ackerstaff, E.; Koutcher, J. A.; Shi, L. |
Title: | Super resolution multimodal microscopy for studying spatially correlated metabolism in aging and diseases |
Conference Title: | Ultrafast Nonlinear Imaging and Spectroscopy XI |
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. © 2023 SPIE. All rights reserved. |
Keywords: | metabolism; breast cancer; histology; medical imaging; diseases; tissue; multi-modal; metabolic imaging; multimodal imaging; metabolites; optical resolving power; multiphotons; deconvolution; cancer; metabolic activity; multiphoton; second harmonic generation; nonlinear optics; harmonic generation; multimodal; spatial correlations; superresolution; super resolution; stimulated raman scattering; spatial correlation; stimulated raman |
Journal Title | Proceedings of SPIE |
Volume: | 12681 |
Conference Dates: | 2023 Aug 21-22 |
Conference Location: | San Diego, CA |
ISBN: | 0277-786X |
Publisher: | SPIE |
Date Published: | 2023-10-23 |
Start Page: | 12681 02 |
Language: | English |
DOI: | 10.1117/12.2677905 |
PROVIDER: | scopus |
DOI/URL: | |
Notes: | Conference paper -- Source: Scopus |