Fluorescence lifetime imaging using deep learning
US11887298B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 7, 2021 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Nov 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment provides an apparatus for fluorescence lifetime imaging (FLI). The apparatus includes a deep neural network (DNN). The DNN includes a first convolutional layer, a plurality of intermediate layers and an output layer. The first convolutional layer is configured to receive FLI input data. Each intermediate layer is configured to receive a respective intermediate input corresponding to an output of a respective prior layer. Each intermediate layer is further configured to provide a respective intermediate output related to the received respective intermediate input. The output layer is configured to provide estimated FLI output data corresponding to the received FLI input data. The DNN is trained using synthetic data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.