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JoVE Journal
Bioengineering
Multimodal Optical Imaging Platform for Studying Cellular Metabolism
Multimodal Optical Imaging Platform for Studying Cellular Metabolism
JoVE Journal
Bioengineering
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JoVE Journal Bioengineering
Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Full Text
1,281 Views
04:47 min
June 6, 2025

DOI: 10.3791/67906-v

Jorge Villazon*1, Zhi Li*1, Aining Fan1, Lingyan Shi1,2,3,4,5

1Shu Chien-Gene Lay Department of Bioengineering,University of California San Diego, 2Aiiso Yufeng Li Family Department of Chemical and Nano Engineering,University of California San Diego, 3Department of Electrical and Computer Engineering,University of California San Diego, 4Institute of Engineering in Medicine,University of California San Diego, 5Synthetic Biology Institute,University of California San Diego

Utilizing a multimodal platform combining label-free optical imaging modalities, we have developed a protocol for visualizing and quantifying cellular dynamics and metabolism. Through imaging via multiphoton fluorescence, second harmonic generation, and stimulated Raman scattering microscopy, we can generate a holistic overview of the cellular and molecular environment.

Our research involves leveraging our multimodal microscope to measure molecular and metabolic differences in several pathologies and visualize their spatial heterogeneity. The multimodal approach to optical imaging enables us to identify pathophysiological changes from a variety of perspectives. The multimodal approach to optical microscopy is continuously expanding its applications, particularly in the clinical setting, where the development of micro endoscopes has opened an avenue for clinical imaging.

The current experimental challenges lie in the complexity of incorporating all the hardware with one another, which is part of the reason why we utilize a custom-built microscope system. Through the use of our multimodal optical imaging platform, we have made significant strides in label-free bioorthogonal disease study, including the classification of different breast cancer subtypes and the analysis of lipid metabolism in the drosophila and mouse brain. Using our label-free multimodal optical imaging, we're able to visualize the metabolism, morphology, and molecular composition simultaneously, which is a powerful tool for investigating diseases and the aging process.

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