A normalized database for Bob Hurt's lab to track and publish data on toxicity of 2D materials.
Automated Analysis of Zebrafish Behaviors is a set of tools and deep learning models to autonomously detect zebrafish behaviors from a image set or video stream.
Automated Continuous Behavioral Monitoring (ACBM) is a machine vision-based automated phenotyping method to detect and quantify the earliest-detected phenotypes in Tdp43Q331K knock-in mice. This method entails continuous video recording for 5 days that is then scored by a trained computer system. The system is a set of DL models deployed on google cloud platform using Kubeflow pipelines. Our goal is to establish sensitive, robust, objective, and open-source machine vision-based behavioral analysis tools that will be widely available to workers in the field.
A hub for researchers to share and find behavioral tasks
Web application that allows participants to register for studies, and for researchers to manage participant registrations
A simple viewer for visualizing volumetric datasets. It supports color mapping through a transfer function that maps specific data values to a scalar color. The view camera is fully interactive, and it works on multiple systems (Windows and Linux). It also support multiple displays devices (desktop, VR HMDs, cave-systems).
A collaboration between Dr Daniel Keefe (University of Minnesota), Dr David Laidlaw (Brown University) and CCV to expand 3D DrawOnAir haptic functionality to VR systems
Explore historical and real-time data about water quality, temperature, and more from the Narragansett Bay.
The 3D volume viewer of the Narragansett Bay and Rhode Island Sound showing the Ocean State Oceanographic Model predictions for Salinity and Temperature.
OMNI is a software framework for interfacing with neuromodulation systems in a platform, device, and programming language agnostic way.
A web app to support the PROVIDENT research study looking to prevent drug-related deaths in neighborhoods across Rhode Island. The dashboard showcases a predictive analytics model that identifies neighborhoods where future overdose deaths are most likely to occur. We are also tracking interventions from organizations and what effects they will have on the overdose data. The results from this study will improve public health decision-making and inform resource allocation to communities that should be prioritized for evidence-based prevention, treatment, recovery, and overdose rescue services.
A mobile app that combines symptom tracking with neuroscientific assessments and tailored interventions. SOMA is designed to directly support individuals on their journeys to overcome pain.
TITAN (Treatment of Infectious Transmissions through Agent-based Network) is an agent-based simulation model used to explore contact transmission in complex social networks.
Volumetric data visualization on the web with compatibility on VR devices. It supports color mapping through a transfer function that maps specific data values to a scalar color. Developed using React-JS and A-Frame.
Python library that facilitates the export and conversion of data stored in Brown's XNAT platform to the Brain Imaging Data Structure (BIDS)