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Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

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Spectroscopic detection improves multi-color quantification in fluorescence tomography.

Giannis Zacharakis¹, Rosy Favicchio, Maria Simantiraki

¹Institute of Electronic Structure and Laser - Foundation for Research and Technology Hellas, N. Plastira 100, 71110 Heraklion Crete, Greece.

Biomedical Optics Express

|March 18, 2011

Summary

This summary is machine-generated.

This study introduces a new Fluorescence Molecular Tomography (FMT) system with a spectroscopic module. It accurately quantifies multiple fluorophore concentrations in vivo, even with overlapping spectra and high autofluorescence.

Keywords:

(170.0110) Imaging systems (170.0170) Medical optics and biotechnology (170.3880) Medical and biological imaging (170.6510) Spectroscopy, tissue diagnostics (170.6960) Tomography

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Area of Science:

Biomedical Imaging
Molecular Imaging
Optical Tomography

Background:

Simultaneous detection of multiple biological processes in vivo often requires multiple fluorophores.
Existing methods struggle with quantitative feedback of fluorophore concentrations when spectra overlap, particularly in whole-body 3D imaging of small animals.

Purpose of the Study:

To develop a novel Fluorescence Molecular Tomography (FMT) system capable of simultaneous, quantitative detection of multiple fluorophores in vivo.
To overcome spectral overlap limitations in multispectral imaging for small animal studies.

Main Methods:

Implementation of a spectroscopic module into a custom-built Fluorescence Molecular Tomography (FMT) system.
Recording fluorescence spectra from each illumination point during tomographic measurements.
Utilizing in situ spectral information for improved separation of overlapping fluorophore signals.

Main Results:

The developed multimodal imaging system successfully recorded spectral information from each illumination point.
Accurate recovery of fluorophore concentrations was achieved from multispectral tomography data.
The approach demonstrated effectiveness even in the presence of high autofluorescence in both in vitro and in vivo experiments.

Conclusions:

The novel spectroscopic FMT approach enables accurate quantitative analysis of multiple fluorophores in vivo.
This method significantly improves the separation of overlapping spectral signals, addressing a key limitation in current multispectral imaging.
The system offers a powerful tool for advancing in vivo biological and biomedical research requiring multiplexed molecular detection.