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Updated: Jan 27, 2026

Multimodal Optical Imaging Platform for Studying Cellular Metabolism
Published on: June 6, 2025
Depth resolved label-free multimodal optical imaging platform to study morpho-molecular composition of tissue
Marco Andreana1, Ryan Sentosa, Mikael T Erkkilä
1Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Guertel 18-20, 1090 Vienna, Austria. angelika.unterhuber@meduniwien.ac.at.
This study introduces a multimodal imaging system combining optical coherence tomography (OCT) and non-linear optical imaging (NLOI) for label-free tissue analysis. The platform enables simultaneous acquisition of structural and molecular data, advancing non-invasive diagnostics.
Area of Science:
- Biomedical Optics
- Multimodal Imaging
- Label-free tissue characterization
Background:
- Multimodal imaging platforms integrate complementary techniques for enhanced tissue information.
- Combining optical coherence tomography (OCT) with non-linear optical imaging (NLOI) offers superior tissue characterization.
- Existing methods often require invasive procedures or exogenous labels.
Purpose of the Study:
- To develop and validate a novel multimodal label-free imaging system.
- To demonstrate the colocalized acquisition of OCT and NLOI signals.
- To provide detailed morpho-molecular information of tissues non-invasively.
Main Methods:
- Integration of OCT with NLOI techniques (TPEF, SHG, CARS).
- Development of a system for simultaneous, label-free signal acquisition.
- Validation of the multimodal system using mouse skin tissue.
Main Results:
- Successful colocalized acquisition of OCT and NLOI signals was demonstrated.
- The system provided detailed structural and molecular information.
- Label-free, non-invasive imaging of tissue morphology and composition was achieved.
Conclusions:
- The developed multimodal imaging system offers a powerful tool for label-free morpho-molecular tissue analysis.
- This approach enhances tissue characterization beyond individual modalities.
- The system holds significant potential for advancing non-invasive biomedical imaging and diagnostics.
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