Award
National Institute of Mental Health RFA-MH-22-245
High-throughput and Machine Learning Optimization of Fluorescent Sensors for Multiplexed Imaging in vivo
Recipient
University of Washington
Award Amount
$2,305,031.00
Ceiling
$2,305,031.00
Awarded
March 09, 2026
Identifier
RFA-MH-22-245
Award for developing advanced fluorescent sensors using high-throughput and machine learning techniques, funded by NIMH under the NIH BRAIN Initiative.
Description
This project aims to engineer red fluorescent calcium and neuromodulator sensors with improved properties using high-throughput screening and machine learning. It is part of the NIH BRAIN Initiative and involves extensive in vivo validation across multiple laboratories. The funding is provided by the National Institute of Mental Health (NIMH).