SBIR/STTR Research Award

VIRAL LOAD DETERMINATION BY MATRIX AMPLIFICATION

Award identifier e10d56fa67102f9886f530e9162786909b3a2369837b8f4d2ab480886ac38686Awarding agency Department of Health and Human Services

Award amount

$106,247

Program and phase

SBIR · Phase I

Award year

1999

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Award details

Awarding agency
Department of Health and Human Services
Branch
Not reported
Recipient company
AMBION DIAGNOSTICS, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Not Available In the proposed program, we will create a Mask Optical Model algorithm set and a Design Aid interface that will predict the effect of varying mask parameters on the effectiveness of external optical weapons sighting systems. The design aid will be used by designers of chemical and biological protective masks. It will eventually interface with other developing design aids that parametrically model the facemask interface stresses and performance effects. Focus in Phase I will be on the optical system comprising the AN/PvS-7 night vision device, the Army M-40 mask and the eyes of the wearer. The results of initial tests will be used to quantify the metrics of the system. We will then develop algorithms that relate mask design metrics to optical system metrics. The algorithms will be demonstrated using a metric database and graphics. In Phase II, we will fully develop the design aid for use by a designer. We will insert into the database optical parameters of current and future night sights, night vision goggles, binoculars, rifle sights; for instance the Air Force NOVA-8 60-degree FOV goggles and AN/AVS-9 night vision system. The system will accept design parameters for current M40/ M42 mask and future Joint Service masks. BENEFITS: The Mask Optical Model algorithm and Design Aid interface will improve the quality and production rate of chemical/biological protective facemasks, and so will result in significant time and cost savings in the design and reduction

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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