Browse Technologies

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A multinational research team, led by Dr. L. J. Zwiebel of Vanderbilt University, has identified new compounds with potential as insect repellents. These compounds work by capitalizing on knowledge of how insect odorant receptors detect and respond to scents. Medicinal chemistry efforts have yielded a number of novel compounds that could short-circuit the insect olfactory system, essentially by over-stimulation, to effectively mask attractive odors. These compounds could be used to repel nuisance and disease-carrying insects away from humans and animals, as well as repel agricultural pests from crops or food storage facilities. Vanderbilt University is seeking commercial partners to develop the technology for agricultural uses.

Fluorescent labels having near-infrared (NIR) emission wavelengths have the ability to penetrate tissue deeper than other emission wavelengths, providing enormous potential for non-invasive imaging applications. However, advancement of optical imaging (particularly NIR imaging) is hindered by the limitation of narrow Stokes shift of most infrared dyes currently available in the market. Vanderbilt researchers have developed a novel NIR dye (4-Sulfonir) for multichannel imaging that enables in vivo imaging of multiple targets due to its large Stokes shift. 4-Sulfonir with its unique large Stokes shift (~150 nm) and wide excitation spectrum could be used in parallel with other NIR dyes for imaging two molecular events simultaneously in one target.

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.

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.