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Multimodal Optical Imaging Platform for Studying Cellular Metabolism
Published on: June 6, 2025
Cell optical density and molecular composition revealed by simultaneous multimodal label-free imaging
Nicolas Pavillon1, Alison J Hobro, Nicholas I Smith
1Biophotonics Laboratory, Immunology Frontier Research Center IFReC, Osaka University, Suita, Osaka, Japan. nicolas.pavillon@a3.epfl.ch
Biophysical Journal
|September 10, 2013
Summary
This study combines Raman imaging and digital holographic microscopy for label-free cell analysis. The multimodal approach reveals complementary chemical and physical cell properties, offering new insights into cell composition and dynamics.
Area of Science:
- Biophotonics
- Cellular Imaging
- Spectroscopy
Background:
- Label-free cellular analysis is crucial for understanding cell dynamics.
- Raman imaging and digital holographic microscopy (DHM) offer complementary information.
- Integrating these techniques can enhance cellular characterization.
Purpose of the Study:
- To combine Raman imaging with simultaneous phase measurements for unlabeled cell analysis.
- To correlate chemical information from Raman spectroscopy with quantitative phase information from DHM.
- To demonstrate the utility of this multimodal approach for cell composition and dynamics studies.
Main Methods:
- Simultaneous acquisition of Raman imaging and digital holographic microscopy data.
- Analysis of light retardation and scattering by cellular molecules.
- Quantification of spatial correlation between Raman and phase images.
- Video-rate imaging for observing dynamic cellular changes.
Main Results:
- Demonstrated the correlation between cellular chemistry (Raman) and physical properties (phase).
- Showcased the complementary nature of label-free data from different scattering mechanisms.
- Observed dynamic cellular changes during Raman acquisition using video-rate imaging.
- Validated the multimodal approach for comprehensive cell analysis.
Conclusions:
- The combined Raman imaging and DHM approach provides complementary label-free information on cell composition and dynamics.
- This multimodal technique offers enhanced insights not achievable by individual methods.
- The method allows for real-time observation of cellular changes during measurement.

