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Updated: Jul 2, 2025

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Multi-molecular hyperspectral PRM-SRS microscopy.

Wenxu Zhang¹, Yajuan Li¹, Anthony A Fung¹

¹Shu Chien-Gene Lay Dept. of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Nature Communications

|February 21, 2024

Summary

This summary is machine-generated.

This study introduces a new hyperspectral imaging method, PRM-SRS microscopy, to map lipid distributions in cells and tissues. It offers enhanced chemical specificity and resolution for studying lipids in aging and disease.

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Area of Science:

Biochemistry
Cell Biology
Medical Imaging

Background:

Lipids are vital for biological processes, and understanding their spatial distribution and metabolic dynamics is key to aging and disease research.
Existing imaging techniques have limitations in preserving native cellular environments, spatial resolution, or distinguishing lipid subtypes.

Purpose of the Study:

To develop and present a novel hyperspectral imaging platform for high-resolution lipid analysis.
To overcome the limitations of conventional imaging methods in lipid research.

Main Methods:

Development of a hyperspectral imaging platform integrating Penalized Reference Matching (PRM) algorithm with Stimulated Raman Scattering (SRS) microscopy (PRM-SRS).
Application of the PRM-SRS platform to visualize and identify specific lipid subtypes in various biological samples.

Main Results:

Successful visualization and identification of high-density lipoprotein particles in human kidney.
Detection of a high cholesterol to phosphatidylethanolamine ratio within mouse hippocampus granule cells.
Mapping of subcellular distributions for sphingosine and cardiolipin in human brain tissue.

Conclusions:

The PRM-SRS platform provides enhanced chemical specificity, subcellular resolution, and rapid data processing for lipid subtype analysis.
This method is effective in distinguishing lipid subtypes across different organs and species, advancing lipid research in biology and medicine.