SBIR/STTR Research Award

SPECTROSCOPIC DIAGNOSTIC FOR BARRETT'S DYSPLASIA

Award identifier 4bd46c60ac1d7ab67fe67ff942bff3b7abb80b4d2a30b252a76df9bb5e269e45Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$0

Program and phase

SBIR · Phase I

Award year

2002

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
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Barrett's esophagus (BE) is an acquired condition of the lower esophagus in which the normal squamous tissue is replaced by a metaplastic columnar mucosa. BE itself is not malignant, but it is the primary risk factor for esophageal adenocarcinoma, and a significant number of patients with BE will have adenocarcinoma at the time of first endoscopy. Currently, examination for dysplasia requires numerous random biopsy samples. This work will complete the development and clinically test an optical instrument for detecting and grading Barrett's dysplasia. Light scattering spectroscopy (LSS) has already been shown to differentiate between normal and diseased tissue conditions in BE patients, but the analysis is complex so the data is analyzed after the procedure is over. The instrument developed by this work will be based on white light LSS, but it will use a special probe design and data reduction algorithm, developed by NLI, enabling real-time results. The probe design makes use of the properties of light scattering by cell nuclei and other tissue components to enable the separation and subtraction of interfering effects, and the characterization of the nuclei, based on using spectral, angular, and polarization characteristics of the scattering processes. The tissue characterization follows from the instrument's quantitative determination of the nuclear size and number density for the surface mucosal cells - two properties commonly used by pathologists. Specifically, NLI will (i) produce the probe, (ii) calculate the data base for the real-time algorithm, (iii) produce the instrument with light source, spectrometer, and embedded computer (suitable for interface with a standard clinical video endoscope), (iv) verify the instrument operation in the laboratory using standard scattering materials, (v) verify the background subtraction properties by using normal and diseased resected colon tissue, and (vi) conduct clinical studies on patients with Barrett's Esophagus.

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.