US Patent Issued to Purdue Research Foundation on Dec. 2 for "Analyzing complex single molecule emission patterns with deep learning" (Indiana Inventors)

ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,418, issued on Dec. 2, was assigned to Purdue Research Foundation (West Lafayette, Ind.).

"Analyzing complex single molecule emission patterns with deep learning" was invented by Peiyi Zhang (West Lafayette, Ind.), Fang Huang (West Lafayette, Ind.) and Sheng Liu (West Lafayette, Ind.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A fluorescent single molecule emitter simultaneously transmits its identity, location, and cellular context through its emission patterns. A deep neural network (DNN) performs multiplexed single-molecule analysis to enable retrieving such information with high accuracy. The DNN can extract three-dimensional molecule location...