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Scott C. Davis

Researcher at Dartmouth College

Publications -  212
Citations -  5584

Scott C. Davis is an academic researcher from Dartmouth College. The author has contributed to research in topics: Supernova & Diffuse optical imaging. The author has an hindex of 36, co-authored 202 publications receiving 4850 citations. Previous affiliations of Scott C. Davis include Florida State University & Dartmouth–Hitchcock Medical Center.

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Near infrared optical tomography using nirfast: algorithm for numerical model and image reconstruction

TL;DR: The results show that 3D modeling can be combined with measured data from multiple wavelengths to reconstruct chromophore concentrations within the tissue, and it is possible to recover scattering spectra, resulting from the dominant Mie-type scatter present in tissue.
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Pre-clinical whole-body fluorescence imaging: Review of instruments, methods and applications

TL;DR: This paper reviews in vivo in vivo fluorescence imaging with a particular emphasis on its potential uses and limitations, the required instrumentation, and the possible imaging geometries and applications.
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Image-guided diffuse optical fluorescence tomography implemented with Laplacian-type regularization.

TL;DR: A promising method to incorporate tissue structural information into the reconstruction of diffusion-based fluorescence imaging is introduced, which regularizes the inversion problem with a Laplacian-type matrix, which inherently smoothes pre-defined tissue, but allows discontinuities between adjacent regions.
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Magnetic resonance-coupled fluorescence tomography scanner for molecular imaging of tissue.

TL;DR: A multichannel spectrally resolved optical tomography system to image molecular targets in small animals from within a clinical MRI is described, and recovered values of indocyanine green fluorescence yield are linear to concentrations of 1 nM in a 70 mm diameter homogeneous phantom, and detection is feasible to near 10 pM.
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Spectrally resolved bioluminescence optical tomography

TL;DR: Reconstructed images of bioluminescence are presented by using as input both simulated and real multiwavelength data from a tissue-simulating phantom, and the amplitude of the reconstructed source is proportional to the actual biolUMinescence intensity.