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Multimodal Optical Imaging Platform for Studying Cellular Metabolism
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Multimodal Optical Imaging Platform for Studying Cellular Metabolism.

Jorge Villazon1, Zhi Li1, Aining Fan1

  • 1Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego.

Journal of Visualized Experiments : Jove
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

A new multimodal optical imaging platform combines multiphoton fluorescence, Second Harmonic Generation, and Stimulated Raman Scattering for label-free, high-resolution studies of cellular metabolism and molecular composition in aging and disease.

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Area of Science:

  • Biomedical Optics
  • Molecular Imaging
  • Cellular Biology

Background:

  • Optical imaging is vital for high-resolution morphological and functional data in biomedical studies.
  • Label-free techniques like multiphoton fluorescence (MPF), Second Harmonic Generation (SHG), and Stimulated Raman Scattering (SRS) offer detailed cellular insights.
  • Combining imaging modalities provides complementary information for a comprehensive understanding of biological processes.

Purpose of the Study:

  • To develop and present a protocol for a novel multimodal optical imaging platform.
  • To demonstrate the platform's capability in label-free characterization of cellular metabolism and molecular heterogeneity.
  • To showcase its application in studying aging and disease mechanisms.

Main Methods:

  • Integration of MPF, SHG, and SRS into a single, label-free multimodal imaging platform.
  • Simultaneous acquisition of multifaceted data from the same biological location.
  • Achieving subcellular resolution, deep tissue penetration, and in situ live imaging.

Main Results:

  • The multimodal platform enables label-free imaging with subcellular resolution and deep tissue penetration.
  • It provides instantaneous coregistration of data from different modalities without post-analysis alignment.
  • Demonstrated application in characterizing cellular metabolism and molecular heterogeneity in aging and disease models.

Conclusions:

  • The developed multimodal imaging platform offers a powerful tool for comprehensive, label-free investigation of biological systems.
  • Its ability to integrate diverse optical signals enhances the study of complex relationships between cellular function, structure, and molecular composition.
  • This technology facilitates deeper insights into aging processes and disease pathogenesis at the cellular and tissue levels.