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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF CALIFORNIA, LOS ANGELES
Doing Business As Name:University of California-Los Angeles
PD/PI:
  • Liang Gao
  • (650) 387-6142
  • gaol@g.ucla.edu
Award Date:09/18/2020
Estimated Total Award Amount: $ 218,316
Funds Obligated to Date: $ 218,316
  • FY 2017=$218,316
Start Date:01/01/2020
End Date:01/31/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CAREER: Compressed Fluorescence Lifetime Imaging Microscopy
Federal Award ID Number:2053080
DUNS ID:092530369
Parent DUNS ID:071549000
Program:BioP-Biophotonics
Program Officer:
  • Leon Esterowitz
  • (703) 292-7942
  • lesterow@nsf.gov

Awardee Location

Street:10889 Wilshire Boulevard
City:LOS ANGELES
State:CA
ZIP:90095-1406
County:Los Angeles
Country:US
Awardee Cong. District:33

Primary Place of Performance

Organization Name:University of California-Los Angeles
Street:
City:
State:CA
ZIP:90095-1406
County:Los Angeles
Country:US
Cong. District:33

Abstract at Time of Award

Abstract Gao,Liang University of Illinois at Urbana-Champaign 1652150 Fluorescence lifetime imaging microscopy (FLIM) has found broad applications in biomedicine because it delivers the most direct insight into the molecular interactions of a fluorophore (a fluorescent chemical compound that re-emits light upon light excitation) with its biological environment. This project will develop a potentially transformative FLIM system fast enough to see biological effects such as neuron spiking. A new optical design course for graduates, and development of a hands-on laboratory for both undergraduates and graduates are planned. The three key tasks are to 1) develop a high-speed, depth-resolved FLIM imager using coded excitation and dual-camera detection; 2) develop a compressed spectral FLIM (sFLIM) system for multi-target fluorescence imaging; and 3) evaluate compressed FLIM and sFLIM against benchmark systems in several live cell imaging applications.

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