Multimodal Optical Imaging Platform for Studying Cellular Metabolism

作者： 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

简介：

Overview

This study presents a multimodal optical imaging platform that allows for the visualization and quantification of cellular dynamics and metabolism. By employing various imaging techniques, we can gain insights into the cellular and molecular environment across different pathologies.

Key Study Components

Area of Science

• Neuroscience
• Cell Biology
• Optical Imaging

Background

• Multimodal microscopy enables the measurement of molecular and metabolic differences.
• It provides a holistic view of pathophysiological changes.
• Applications are expanding in clinical settings, particularly with micro endoscopes.
• Custom-built microscope systems address experimental challenges.

Purpose of Study

• To visualize metabolism, morphology, and molecular composition simultaneously.
• To investigate diseases and the aging process.
• To classify different breast cancer subtypes.

Methods Used

• Multiphoton fluorescence microscopy
• Second harmonic generation microscopy
• Stimulated Raman scattering microscopy
• Label-free bioorthogonal imaging techniques

Main Results

• Significant strides in understanding lipid metabolism in model organisms.
• Identification of spatial heterogeneity in cellular dynamics.
• Classification of breast cancer subtypes using imaging techniques.
• Enhanced visualization of metabolic processes in the brain.

Conclusions

• The multimodal approach is a powerful tool for disease investigation.
• Label-free imaging techniques provide comprehensive insights into cellular environments.
• Future applications may further enhance clinical imaging capabilities.

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