Paper
10 February 2011 In vivo reconstruction of NIR FRET using full-field time resolved optical tomography
Author Affiliations +
Proceedings Volume 7892, Multimodal Biomedical Imaging VI; 78920I (2011) https://doi.org/10.1117/12.881798
Event: SPIE BiOS, 2011, San Francisco, California, United States
Abstract
We investigate the feasibility of 3-D localization of Foerster resonance energy transfer (FRET) between two NIR fluorophores (Alexa Fluor 700 and Alexa Fluor 750) in small animal models. Specifically, the decrease in donor lifetime upon FRET is used as the contrast mechanism to isolate donor-acceptor pairs undergoing FRET. The optical tomography system uses a femtosecond tunable laser coupled with a micro-mirror device based digital light processor as the source to generate wide-field patterns. The time-resolved detection is achieved using a gated intensified CCD camera. The wide-field excitation scheme described herein provides an experimental advantage by reducing the time of acquisition of temporally dense datasets. In this study, anatomical information obtained using MR imaging is used in the computation of the Monte Carlo (MC) based forward model. The MC model reconstructs the 3D distribution of the quantum yield of the donor fluorophore and the FRET complex using the time-gate data type allowing the estimation of fractional distribution (ƒD) of donor molecules undergoing FRET and unquenched donor molecules. The performance of this approach in the estimation of ƒD using the position of fluorophores obtained using the MRI is investigated.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vivek Venugopal, Jin Chen, Margarida Barroso, and Xavier Intes "In vivo reconstruction of NIR FRET using full-field time resolved optical tomography", Proc. SPIE 7892, Multimodal Biomedical Imaging VI, 78920I (10 February 2011); https://doi.org/10.1117/12.881798
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KEYWORDS
Fluorescence resonance energy transfer

Molecules

Animal model studies

Near infrared

3D modeling

Magnetic resonance imaging

Data modeling

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