The Molecular Image Fusion system is a software framework that can predict ion distributions in tissue. It accomplishes this by fusing data from two distinct technologies: imaging mass spectrometry (IMS) and microscopy. IMS-generated molecular maps, rich in chemical information but having coarse spatial resolution, are combined with optical microscopy maps, which have relatively low chemical specificity but high spatial information.

Self-report instruments used to determine severity of lymphedema in various parts of the body.  Copyrighted material is available free of charge to those individuals who have a full-time academic appointment at an academic or other non-profit research institution for non-commercial purposes. You may submit a Non-Commercial Use Request Form on the  request for permission page.

LeachXS is a data management and visualization tool that provides you with a clear overview of the results of leaching tests and allows you to compare them to relevant policy and regulations. The tool allows users to evaluate and characterize the release of material constituents based on comparisons derived from leaching test results for a wide range of materials and waste types (e.g., secondary or recycled materials, stabilized waste and construction materials).

ProcoderDV™ (Procoder for Digital Video) was developed at Vanderbilt University's Kennedy Center to facilitate data collection from digital media in a variety of research projects. ProcoderDV™ catalogs and facilitates the retrieval and replay of specific events that are captured in digital video or audio files.

Vanderbilt University’s Center for Global Democracy (CGD) is a premier social science institute dedicated to advancing the understanding of how democracies emerge, function, and evolve. Through research grounded in the highest standards of scientific rigor, CGD examines how mass publics perceive, experience, and support democratic governance, while also generating insights that inform policy innovation to strengthen democracy worldwide.

VANDPIRE is an intuitive and comprehensive software for quantifying cerebral blood flow (CBF) and calculating CBF territories based upon arterial spin labeling (ASL) MRI data. CBF analysis, particularly CBF territory analysis, is time-consuming and requires an advanced knowledge of scripting and up-to-date mathematical models. As a result, many researchers who are interested in performing such analyses are unable to do so.

TagDock is an efficient rigid body molecular docking algorithm that generates three-dimensional models of oligomeric biomolecular complexes in instances where there is limited experimental restraint data to guide the docking calculations. Through “distance difference analysis” TagDock additionally recommends followup experiments to further discriminate  divergent (score-degenerate) clusters of TagDock’s initial solution models.

The ARMS-D is a brief, easily administered, and validated patient survey to assess adherence to diabetes medications. It can detect non-adherence and specific reasons for non-adherence. Given the magnitude of the problem of non-adherence to diabetes medications, this instrument has application in research (observational and clinical trials) and clinical practice.

Marker Enrichment Modeling (MEM) software is a quantitative system for objectively labeling and characterizing complex cell populations by quantifying feature enrichment and reporting a text label. MEM label reporting provides a new way to objectively and quantitatively communicate cell type in studies of complex, dynamic tissue microenvironments, such as stem cell niches, immune responses, and human tumors.