Diagnostics

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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.

The standard for kidney stone detection is through the use of computed tomography (CT). However, CT is expensive and delivers harmful ionizing radiation into the body. Ultrasound would be the ideal way to detect kidney stones except that it performs poorly in detecting and accurately sizing stones. Vanderbilt researchers inventors have developed a technique that is able to separate hard, mineralized material (i.e kidney stones) from soft tissue in a way that is both cheaper and safer than CT and performs better than conventional ultrasound imaging.

There is currently no radiotherapy phantom capable of quantitatively assessing all components of an online adaptive radiotherapy (online ART) system in a comprehensive end-to-end test.Represented here is a novel, rigid phantom that can simultaneously evaluate an online ART system's image acquisition, deformable image registration, contour propagation, plan re-optimization, dose calculation, and beam delivery in a single process that is robust, quantitative, and convenient.

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.