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Essential Image Processing for Magnetic-Resonance Force Microscopy

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD19-02-C-0093
Agency Tracking Number: 44194-MS
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
9295 Farnham Street 2nd Floor
San Diego, CA 92123
United States
DUNS: 042081583
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Timothy Gosnell
 Senior Scientist
 (858) 287-4966
 Tim.Gosnell@pixon.com
Business Contact
 Ed Stephan
Title: Chief Operations Officer
Phone: (858) 287-4966
Email: Ed.Stephan@pixon.com
Research Institution
 Ohio State University
 Kim C Carter
 
200 OSU Research Foundation, 1960 Kenny Rd.
Columbus, OH 43210
United States

 (614) 292-1673
 Nonprofit College or University
Abstract

Two fundamental challenges face development of the magnetic-resonance force microscope (MRFM): sensitivity and image deconvolution. Because of the non-local nature of the MRFM response to a single spin, image processing of as-captured MRFM data will be socritical a component of the instrument that its performance will have a profound impact on the entire system design. In this Phase I STTR project, Pixon LLC will combine the MRFM hardware research efforts at Ohio State University and the CaliforniaInstitute of Technology with the company's proprietary, high-performance image-reconstruction technology in order to demonstrate unmatched capabilities in MRFM imaging. In particular, compared to the best competing techniques, the Pixon method of imagereconstruction offers 2 to 3 times better resolution and 10 to 100 times better sensitivity. At the same time, the information-theoretic principles that underlie the Pixon algorithm make its performance effectively impossible to surpass. In short, thisproject will establish absolute limits on MRFM imaging capabilities and make specific recommendations for MRFM hardware design that optimize the benefit of Pixon post processing. BENEFITS: Optimizes sensitivity and spatial resolution of the MRFM.APPLICATIONS: Image processing for MRFM, MFM, and potentially all microscopies.

* Information listed above is at the time of submission. *

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