Diagnostics

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A research team at Vanderbilt University Mass Spectrometry Research Center has developed the Molecular Image Fusion software system, that by fusing spatial correspondence between histology and imaging mass spectrometry (IMS) measurements and cross-modality modeling, can predict ion distributions in tissue at spatial resolutions that exceed their acquisition resolution. The prediction resolution can even exceed the highest spatial resolution at which IMS can be physically measured. This software has been successfully tested on different IMS datasets and can be extended to other imaging modalities like MRI, PET, CT, profilometry, ion mobility spectroscopy, and different forms of microscopy.

Vanderbilt researchers have created a new multi-organs-on-chip platform that comprises Perfusion Control systems, MicroFormulators, and MicroClinical Analyzers connected via fluidic networks. The real-time combination of multiple different solutions to create customized perfusion media and the analysis of the effluents from each well are both controlled by the intelligent use of a computer-operated system of pumps and valves. This permits, for the first time, a compact, low-cost system for creating a time-dependent drug dosage profile in a tissue system inside each well.

Vanderbilt researchers have developed an optical-based method for real-time characterization of middle ear fluid in order to diagnose acute otitis media, also knows as a middle ear infection. The present technique allows for quick detection and identification of bacteria and can also be applied to other biological fluids in vivo.

Advances in modern MRI pulse sequences, including ultrashort-echo time and related MRI methods for imaging short T2 signals, have enabled clinically-practical cortical bone imaging. Researchers at the Vanderbilt University Institute of Imaging Science have developed a method of distinguishing and quantifying nuclear magnetic resonance (NMR) signals for cortical bone analysis.