ENHANCED ROLLER BOTTLE FOR CELL CULTURE

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: N/A
Agency Tracking Number: 1R43GM058978-01
Amount: $100,100.00
Phase: Phase I
Program: SBIR
Awards Year: 1999
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
WILSON WOLF MANUFACTURING CORP.
151 SILVER LAKE RD, NEW BRIGHTON, MN, 55112
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 MARTIN WOLF
 () -
Business Contact
Phone: (612) 628-9259
Email: WWMFGCORP@AOL.COM
Research Institution
N/A
Abstract
Not Available Under this Phase I SBIR program, ORINCON proposes to develop and demonstrate digital signal processing (DSP) algorithms to provide substantial improvements in the identification and quantification of chemical compounds using Fourier Transform Infrared (FTIR) Spectroscopy. The algorithm we propose is conceptually founded on wavelet techniques. We will take advantage of the fact that the wavelet representation of the IR spectrum offers greater flexibility in enhancing low signal-to-noise ratios because the wavelet naturally resolves noise and spectral features into different domains. The algorithm itself is based on work described in Ref. [1], where an advanced wavelet technique is used to denoise astronomical spectra and remarkably recovers weak signal features that are drowned in noise so as not to be seen in the spectrum. In addition, the FTIR application of remote sensing is generally performed in a nonlinear environment due to dynamic background and instrumentation fluctuations. We propose the testing of wavelet pattern classification algorithms to aid in the identification of chemical compounds in this environment. In Phase II, algorithms, techniques, and procedures developed and demonstrated during Phase I will be optimized, implemented, and tested on a computer platform that runs ORINCON's commercial, real-time signal processing software. BENEFITS: Potential commercial applications for the algorithms developed under this program are numerous. The use of wavelet

* information listed above is at the time of submission.

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