SBIR/STTR Research Award

Clinical System for Arterial Characterization

Award identifier 5eb9532d9f94db317a5bb83295f1e50cbee170d94fbec7a254bc279ea883b47bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$742,677

Program and phase

SBIR · Phase II

Award year

2005

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
NEWTON LABORATORIES
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Published studies indicate that visible wavelength reflectance and fluorescence spectroscopy are each promising techniques for clinically recognizing vulnerable plaque (VP) - a condition prone to rupture and produce arterial thrombosis. Reflectance is already visually accessible in normal angioscopy, and yellow lipid may be seen diffusely through an otherwise white fibrous cap, depending on its thickness, and form a qualitative indication for VP. Progress toward a clinically useful instrument for recognizing VP by quantified spectroscopy requires an arterial, optical-fiber based side-looking probe (SLP). It is a primary goal of the Phase-2 program to accomplish this by building on the Phase-1 tissue-probe-spectroscopy modeling, probe construction techniques developed, and probe - tissue measurements obtained. In the Phase-2 program three SLP designs will be produced and clinically tested in peripheral arteries. The data will be reduced to provide spectrally resolved diffuse reflectance and intrinsic fluorescence. Comparison will be made to results from concurrent Monte Carlo modeling, results from pathology, and results from the measurements of others with respect to characterizing the tissue and recognizing lesions with thin fibrous caps with a significant lipid core - hallmarks of VP. We expect that bringing together the colorimetry information with intrinsic fluorescence will produce results better than either alone.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.