About the Project
From cell quantification in biology labs to satellite-based crop analysis in agriculture to quality control on manufacturing lines, automated image processing is a key analysis method in numerous fields. However, the creation of these task-specific tools is limited to skilled professionals who also have to invest significant time in coding and optimizing them. The potential impact of this project is significant. By democratizing access to image-processing tools for diverse applications, we aim to create more data rich environments and facilitate empirical decision making in many disciplines. This fellowship focused on the continued development of an existing web application, an easy-to-use interface for creating image processing pipelines in multidisciplinary settings,a project which advances digital scholarship and innovation not only by expanding access to impactful technologies through a digital tool but also by allowing methods developed by this tool to be easily shared with other collaborators. Fellows engaged in the development of a simple-to-use web application that unlocks the capabilities of image processing for untrained and trained users alike. This technology offers a broad range of use cases, providing fellows with a truly interdisciplinary experience as they got to work with current collaborators at Vanderbilt and other institutions both domestic and abroad.
Mentors
Thomas Scherr; Cazembe Kennedy
Fellows
Chance Ineza; Nia Legba
Project
Coming soon!