Research & Development
Aivia has an active research and development pipeline for next generation image based decision solutions — funded by both corporate and government sources. Our internal, life science related R&D, funded by the National Institutes of Health and the Department of Defense, has led to the pioneering technologies which deploy in our own products as well as during the development of custom software tools for other companies.
An Active Pipeline
Over $16M USD Awarded
Aivia's life science development efforts are funded by Small Business Innovative Research (SBIR) grants from the National Institute of Health (NIH) and the Department of Defense (DoD). Since 2005, the NIH and DoD have funded over $16 million towards technology development for Aivia and more projects are in the pipeline.
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These grants have made possible collaborations with world class researchers at National Institute of Biomedical Imaging and Bioengineering, University of Washington, University of Southern California, and others, facilitating multi-disciplinary science and greatly advancing the development of new tools for basic and translational research. Click the button below to learn more about our ongoing and completed NIH-funded projects.
This Fast-Track collaborative research grant, in collaboration with Dr. Hari Shroff at NIBIB and a consortium of imaging center across the U.S., aims to accelerate the adoption of deep learning (DL) in the microscopy community. The AIRS platform will provide a comprehensive suite of validated DL models with semi-automatic update training to tailor pre-trained DL models to match new imaging experiments.
This project, in collaboration with Prof. Rachel Wong at the University of Washington, aims to automate the labor-intensive task of manual neuron reconstruction, synapse detection and circuit interference based on multi-TB EM and CLEM images by deploying innovated AI-assisted tools.
This fast-track proposal, in collaboration with the Ichida lab at University of Southern California and the Nagai lab at Osaka University, aims to develop a kinetic informatics discovery tool for classifying patient cell models on basis of disease phenotypes.
This Fast-Track collaborative research grant, in collaboration with Dr. Hari Shroff at NIBIB and a consortium of imaging center across the U.S., aims to accelerate the adoption of deep learning (DL) in the microscopy community. The AIRS platform will provide a comprehensive suite of validated DL models with semi-automatic update training to tailor pre-trained DL models to match new imaging experiments.
Hover over the image to learn more.
U.S. Government-Funded Research
Contact Us
For inquiries about our NIH-funded projects and contract research service, please fill in your contact details
Tel: 1-855-423-5577
15921 NE 8th St, Suite 200
Bellevue, WA 98008