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Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
Published on: August 22, 2019
Excitation spectroscopy in multispectral optical fluorescence tomography: methodology, feasibility and computer
Abhijit J Chaudhari1, Sangtae Ahn, Richard Levenson
1Department of Biomedical Engineering, University of California-Davis, Davis, CA 95616, USA. ajchaudhari@ucdavis.edu
This study introduces a novel spectral approach for in vivo optical fluorescence tomography (OFT) by combining multi-wavelength excitation and multispectral detection for improved 3D tumor imaging in mice.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Biophotonics
Background:
- In vivo optical fluorescence tomography (OFT) relies on probes emitting light in the 680-850 nm range for low tissue attenuation.
- Existing multispectral emission approaches offer limited improvement due to small spectral variations in tissue optical properties.
- Exploiting wavelength-dependent excitation properties offers an alternative for decoding source depth.
Purpose of the Study:
- To develop and evaluate a novel OFT method integrating both multi-wavelength excitation and multispectral emission data.
- To enhance the reconstruction accuracy of 3D fluorescent probe distributions in small animal studies.
- To assess the performance of this combined spectral approach against single-spectral methods.
Main Methods:
- Formulation of a linear algebraic forward model for multiple wavelength illumination and multispectral detection in OFT.
- Comparison of the combined spectral approach with excitation-only and emission-only spectral methods.
- Utilized a realistic inhomogeneous mouse atlas and singular value decomposition for analysis.
Main Results:
- The combined spectral approach demonstrates superior performance in OFT image reconstruction compared to single-spectral methods.
- Analysis using singular value decomposition highlights improved spatial resolution and noise characteristics.
- Successful 3D reconstruction of tumors in a simulated mouse model of metastatic human hepatocellular carcinoma was achieved.
Conclusions:
- Integrating both excitation and emission spectral information significantly enhances OFT's capability for deep-tissue imaging.
- This synergistic spectral approach offers a powerful tool for accurate 3D tumor visualization in preclinical research.
- The method shows promise for advancing in vivo molecular imaging and diagnostics.
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