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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
Published on: July 17, 2012
13.0K
Illuminating native fluorescence signatures for cancer detection
R Tang-Holmes1,2,3, N Annamdevula1,2,3, E Franklin1
1Frederick P. Whiddon College of Medicine, University of South Alabama, Mobile, AL, USA.
Summary
This study establishes a spectral library of endogenous fluorophores in mouse tissues to aid in colorectal cancer (CRC) detection. A novel excitation-scanning hyperspectral imaging method was used for faster analysis, crucial for real-time screening.
Area of Science:
- Biomedical Optics
- Cancer Research
- Molecular Imaging
Background:
- Autofluorescence, light emission from biological substances, changes with cancer-related tissue alterations.
- Endogenous fluorophores like collagen, NADH, FAD, and amino acids exhibit spectral shifts during colorectal cancer (CRC) progression.
- Current hyperspectral imaging methods (Em-HSI) are too slow for real-time endoscopic screening.
Purpose of the Study:
- To quantitatively characterize endogenous fluorophores in mouse tissues.
- To establish a reference spectral library for spectral unmixing of hyperspectral images.
- To develop a faster hyperspectral imaging approach for CRC detection.
Main Methods:
- Spectrofluorometry and fluorescence microscopy were used to characterize endogenous fluorophores.
- Excitation-scanning hyperspectral imaging (Ex-HSI) was employed for spectral data acquisition.
- A spectral library of biologically relevant autofluorescent molecules was created.
Main Results:
- Comprehensive spectral data for key endogenous fluorophores (collagen, elastin, NADH, FAD, PPIX, tryptophan, tyrosine) were obtained.
- The study successfully established a reference spectral library for mouse colorectal cancer tissues.
- The Ex-HSI approach demonstrated potential for faster hyperspectral image acquisition.
Conclusions:
- Autofluorescence properties are significantly altered by colorectal cancer progression and tumor microenvironment changes.
- The developed spectral library and Ex-HSI method can enable spectral unmixing for improved CRC diagnosis.
- This work paves the way for real-time, non-invasive endoscopic screening for colorectal cancer.

