James R. Mansfield

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Artificial neural network classification methods were applied to infrared spectra of histopathologically confirmed Alzheimer's diseased and control brain tissue. Principal component analysis was used as a preprocessing technique for some of these artificial neural networks while others were trained using the original spectra. The leave-one-out method was(More)
PURPOSE The aim of this study is to determine if dynamic optical imaging could provide comparable kinetic parameters to that of dynamic PET imaging by a near-infrared dye/(64)Cu dual-labeled cyclic RGD peptide. METHODS The integrin α(v)β(3) binding RGD peptide was conjugated with a macrocyclic chelator 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic(More)
We report on the design and initial experimental results of a multiview, multispectral preclinical fluorescence tomography instrument, designed to improve quantitation of fluorescence molecular imaging in disease research and drug development.
BACKGROUND Histopathological prognostication relies on morphological pattern recognition, but as numbers of biomarkers increase, human prognostic pattern-recognition ability decreases. Follicular lymphoma (FL) has a variable outcome, partly determined by FOXP3 Tregs. We have developed an automated method, hypothesised interaction distribution (HID)(More)
It is becoming clear that immune cells play many important but sometimes conflicting roles in cancer. Immune profile changes at sites of immune-cancer interactions, such as the tumor microenvironment and tumor-draining lymph nodes (TDLNs), may represent a sensitive predictor of local and distant tumor metastasis. However, standard pathologic analysis of(More)
Objective Histopathological prognostication relies on pattern recognition , but as the number of biomarkers increases, human prognostic pattern recognition ability decreases. We have developed an automated quantitative method, hypothesized interaction distribution (HID) analysis, for identifying prognostic patterns of multiple biomarkers in situ. For(More)
It is clear that immune cells play many sometimes conflicting roles in the tumor microenvironment and it would be extremely useful to be able to visualize the distributions of multiple phenotyped immune cells in-situ in solid tumors. However, obtaining phenotypic information about the various cells that play these roles in and around the tumor has been a(More)
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