The increasing availability of powerful fluorescent agents for reporting on functional and molecular tissue processes in-vivo opens new ways for detecting disease, characterizing cellular and sub-cellular processes and for assessing the effects of treatments. With this increased capacity for visualization conies a pressing need for highly advanced imaging technology that can accurately resolve in three dimensions and quantify the bio-distribution of such fluorochromes through dense tissues. Fluorescence macroscopy of entire animals and tissues is a most challenging and still largely unexplored field of imaging sciences, whose full potential is far from being reached. This proposal offers to develop a hybrid FMT system that combines the most advanced current developments on optical tomography with high-resolution X-ray Computed Tomography to offer unprecedented imaging capacity for small animal imaging. The system proposed is a fundamentally new design that assumes complete projection (360 degrees) illumination and detection, similarly to geometrical practices seen in X-ray CT. A CCD camera is used for obtaining high spatial sampling photon collection in the absence of previously utilized matching fluids or fibers in physical contact with tissue. As such, the proposed design and methods are not simply an incremental step forward compared to previous implementations but offer a new generation in terms of performance and experimental simplicity. While we expect the technology to find many small animal imaging applications, we are particularly interested in applying it for improving imaging in mouse models of cancer. We hypothesize that the proposed developments will yield a practical and highly efficient system that can become a method of choice in many preclinical studies involving in-vivo imaging of entire animals.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB006432-04
Application #
7617905
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Zhang, Yantian
Project Start
2006-08-01
Project End
2010-05-31
Budget Start
2009-06-01
Budget End
2010-05-31
Support Year
4
Fiscal Year
2009
Total Cost
$367,382
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Vinegoni, C; Leon Swisher, C; Fumene Feruglio, P et al. (2016) Real-time high dynamic range laser scanning microscopy. Nat Commun 7:11077
Vinegoni, Claudio; Dubach, John M; Feruglio, Paolo Fumene et al. (2016) Two-photon Fluorescence Anisotropy Microscopy for Imaging and Direct Measurement of Intracellular Drug Target Engagement. IEEE J Sel Top Quantum Electron 22:
Vinegoni, Claudio; Dubach, J Matthew; Thurber, Greg M et al. (2015) Advances in measuring single-cell pharmacology in vivo. Drug Discov Today 20:1087-92
Vinegoni, Claudio; Lee, Sungon; Aguirre, Aaron D et al. (2015) New techniques for motion-artifact-free in vivo cardiac microscopy. Front Physiol 6:147
Vinegoni, Claudio; Aguirre, Aaron D; Lee, Sungon et al. (2015) Imaging the beating heart in the mouse using intravital microscopy techniques. Nat Protoc 10:1802-19
Dubach, J Matthew; Vinegoni, Claudio; Weissleder, Ralph (2014) Steady state anisotropy two-photon microscopy resolves multiple, spectrally similar fluorophores, enabling in vivo multilabel imaging. Opt Lett 39:4482-5
Dubach, J M; Vinegoni, C; Mazitschek, R et al. (2014) In vivo imaging of specific drug-target binding at subcellular resolution. Nat Commun 5:3946
Aguirre, Aaron D; Vinegoni, Claudio; Sebas, Matt et al. (2014) Intravital imaging of cardiac function at the single-cell level. Proc Natl Acad Sci U S A 111:11257-62
Lee, Sungon; Vinegoni, Claudio; Sebas, Matthew et al. (2014) Automated motion artifact removal for intravital microscopy, without a priori information. Sci Rep 4:4507
Vinegoni, Claudio; Lee, Sungon; Feruglio, Paolo Fumene et al. (2014) Advanced Motion Compensation Methods for Intravital Optical Microscopy. IEEE J Sel Top Quantum Electron 20:

Showing the most recent 10 out of 53 publications