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Updated: Aug 11, 2025

Conducting Multiple Imaging Modes with One Fluorescence Microscope
Published on: October 28, 2018
Three-dimensional bi-functional refractive index and fluorescence microscopy (BRIEF)
Yi Xue1, David Ren2, Laura Waller2
1Department of Biomedical Engineering, University of California, Davis, CA 95616, USA.
This study introduces a novel multi-modal microscopy technique to simultaneously capture 3D fluorescence and refractive index (RI) data. This method enables digital correction of scattering effects, improving fluorescence image quality in biological tissues.
Area of Science:
- Biomedical Optics
- Microscopy
- Computational Imaging
Background:
- Fluorescence microscopy offers molecular specificity but lacks structural information.
- Phase microscopy provides label-free refractive index (RI) for structural insights.
- Conventional methods capture either fluorescence or RI, not both simultaneously.
Purpose of the Study:
- To develop a computational multi-modal imaging method for simultaneous 3D fluorescence and 3D RI reconstruction.
- To enable digital correction of multiple-scattering effects in fluorescence imaging using RI data.
- To advance label-free imaging capabilities in biological samples.
Main Methods:
- Developed a novel computational multi-modal imaging method based on epi-mode microscopy.
- Acquired multiple fluorescence images illuminated by single fluorophores.
- Solved an inverse problem using a multiple-scattering forward model to reconstruct 3D RI and fluorescence.
Main Results:
- Successfully reconstructed both 3D fluorescence and 3D RI from a single dataset.
- Demonstrated the method's efficacy for epi-mode 3D RI imaging.
- Showcased digital correction of multiple-scattering effects in fluorescence images.
Conclusions:
- The developed method enables simultaneous acquisition of functional (fluorescence) and structural (RI) information.
- This technique can digitally correct scattering-induced image degradation in biological tissues.
- Offers a powerful new tool for advanced biological imaging and analysis.
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