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29 May 2024 Super-resolution chemical imaging and correlation mapping of metabolism in aging and diseases
Hongje Jang, Yajuan Li, Zhi Li, Ellen Ackerstaff, Jason Koutcher, Lingyan Shi
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Proceedings Volume 13083, SPIE Future Sensing Technologies 2024; 130830T (2024) https://doi.org/10.1117/12.3022926
Event: SPIE Future Sensing Technologies, 2024, Yokohama, Japan
Abstract
We have established an advanced nonlinear multimodal imaging system, integrating Stimulated Raman Scattering (SRS), multiphoton fluorescence (MPF), and Second Harmonic Generation (SHG), to investigate the intricate relationships between metabolic activities and metabolite distribution in cells and tissues. In addition, the innovative Adam-based Pointillism Deconvolution (A-PoD) and Correlation Coefficient Mapping (CoCoMap) algorithms have been designed, enabling a deeper insight into the simultaneous recording and analysis of correlation between various metabolic processes within super-resolved images of nanoscale Regions of Interest (ROIs). To precisely pinpoint signals originating from specific subcellular organelles, the state-of-the-art Multi-SRS reference matching (Multi-SRM) clustering algorithm was introduced. This technique holds the potential of enhancing the detection and prognosis of diseases, assessing therapeutic outcomes, and deepening the understanding of the aging process and biomedical science.
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Hongje Jang, Yajuan Li, Zhi Li, Ellen Ackerstaff, Jason Koutcher, and Lingyan Shi "Super-resolution chemical imaging and correlation mapping of metabolism in aging and diseases", Proc. SPIE 13083, SPIE Future Sensing Technologies 2024, 130830T (29 May 2024); https://doi.org/10.1117/12.3022926
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KEYWORDS
Diseases and disorders
Super resolution
Imaging spectroscopy
Mode conditioning cables
Tissues
Algorithm development
Molecules
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