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Updated: Jan 10, 2026

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

Published on: June 6, 2025

Imaging Cellular Metabolic Rewiring with SuMMIT-SRS.

Yajuan Li¹, Zhi Li¹, Yuhan Li¹

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

Biorxiv : the Preprint Server for Biology

|November 24, 2025

Summary

This summary is machine-generated.

This study introduces Subcellular Multiplexed Metabolic Isotope Tracing Stimulated Raman Scattering microscopy (SuMMIT-SRS), a new imaging platform. SuMMIT-SRS visualizes multiple metabolic dynamics simultaneously at subcellular resolution, advancing our understanding of cellular biosynthesis.

Keywords:

Metabolic rewiring SRS lipid metabolism multiplex optical imaging protein

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Last Updated: Jan 10, 2026

Multimodal Optical Imaging Platform for Studying Cellular Metabolism

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Published on: June 6, 2025

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Published on: November 15, 2021

Area of Science:

Cellular Metabolism
Molecular Imaging
Biophysics

Background:

Cellular metabolism is plastic, rapidly adapting to physiological and pathological changes.
This metabolic plasticity is crucial for cell types with high biosynthetic demands like neurons, stem cells, and cancer cells.
Existing metabolic imaging methods are limited, typically tracking only one metabolite at a time, hindering the study of complex metabolic networks.

Purpose of the Study:

To develop a novel imaging platform for simultaneous visualization of multiple metabolic dynamics.
To enable subcellular resolution of metabolic pathway crosstalk, precursor utilization, and turnover.
To provide a tool for dissecting complex biosynthesis programs in various biological contexts.

Main Methods:

Developed Subcellular Multiplexed Metabolic Isotope Tracing Stimulated Raman Scattering microscopy (SuMMIT-SRS).
Utilized distinct vibrational signatures of carbon-deuterium bonds from multiple deuterated tracers (amino acids, lipids, monosaccharides).
Applied the platform to diverse biological samples including cell lines, organoids, and tissues.

Main Results:

SuMMIT-SRS enables simultaneous mapping of DNA, RNA, protein, and lipid synthesis.
The platform resolves individual amino acid-mediated metabolic pathways within intact cells and tissues.
Demonstrated cell type-specific metabolic rewiring in various models (Drosophila, human neurons, tumor organoids, mouse liver) under perturbations.

Conclusions:

SuMMIT-SRS is a powerful platform for visualizing complex metabolic dynamics at subcellular resolution.
This technique extends Stimulated Raman Scattering (SRS) to multiplexed isotope tracing.
Offers new insights into dynamic biosynthesis programs in development, health, and disease.