FS Lab

Topographic Engineering Center

Fluorescence Spectroscopy Laboratory

small logo

Who We Are...

The Fluorescence Spectroscopy Lab (ERDC FSL) is part of the US Army Corps of Engineers, Engineering Research and Development Center,Topographic Engineering Center located in Alexandria, Virginia. the lab has two satellite locations dedicated to different areas of fluorescence and remote sensing research. These facilities are located at Virginia Commonwealth University's Life Sciences Center (LAB 221) at 1000 West Cary Street in Richmond, Virginia. and George Mason University's Center for Nanophotonics Imaging (LAB 431), Manassas, Virginia campus.

ERDC FSL Mission

The Fluorescence Spectroscopy Lab is engaged in basic and applied research in fluorescence sensing and microbiology focused on the development and testing of fluorophores for recovery by remote sensing. FSM Lab guides the development and testing of organic (living) and inorganic materials that may be used for the targeting and detection of harmful agents or environmental threats.

The lab works with a number of federal, state, and local collaborators as well as private industry and institutes inside academia to achieve its goals. FSM's goals include the application of research resources and energy in the development of fluorescence sensing as both a laboratory and landscape method of remote sensing.

ERDC FSL RESEARCH UPDATE:

Molecular Imprinted Polymers ERDC FSL is working with VCU Chemical Engineering and Sentor Technologies© to develop MIPs for a variety of detection applications. Molecular Imprinted Polymers are chains of monomers imprinted with the shape and charge of a target ligand. Much like a dental impression, MIPs work like enzymes and hormones as a lock and key. This gives the MIP specificity and greater confidence in target detection. FSL is using synthesized MIPs that posses high quantum efficiency fluorescence emissions for detection by remote sensing.

Hyperspectral Characterization of Endospores Research is being conducted to determine the visible-near IR spectral changes in bacterial endospores as it relates to viability. Changes in reflectance spectra differs from fluorescence and does not require a short wavelength / high energy excitation source. Reflectance signatures generated from microscopic imaging provide the foundation for the characterization measurements.

Reflectance- Derived Fluorescence for Vegetative Stress We are conducting research to relate changes in the reflected Near IR photo-pigment region to known fluorescence for chlorophyll as an indicator of stress. These measurements are being performed at the leaf level with goals to scqle to a canopy level model. This research is different from traditional dark-adapted work in this area due to the light-adapted nature of the studies.

Quantum-Confined Stark Effect Although the Stark Effect (splitting of spectral emission lines due to an externally applied electric field) is well known in semiconductor materials, we have observed the phenomena in doped quantum (semiconductor) wires. The application of an external electric field imparts tenability within the wires and changes the intrinsic fluorescence of the doping substance (typically and organic fluorophore).

Radiological Amplification While distributed radiological material can be ubiquitous, its intrinsic fluorescence intensity is typically not high enough for detection by laser induced fluorescence imaging except when in bulk. These materials lend themselves to amplification by fluorophores that exhibit binding competition, thus increasing their quantum yield without appreciably affecting their spectral structure. We are presently experimenting with a variety of materials that compliments these materials and provides such amplified fluorescence.

Single and Multi-photon Lidar Modeling Our research in single and multi-photon cross section characterization for predictive Lidar modeling is being conducted to determine the energy flow profile of certain target fluorphores. This research supports target identification and optical recovery at both the small and large-scale sensor level.

©2007 FS Lab