High Resolution and High Contrast Near-IR Imaging of the Human Fundus

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: 1R43EY016264-01A2
Agency Tracking Number: EY016264
Amount: $99,865.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: N/A
Solicitation Number: PHS2006-2
Small Business Information
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 (510) 849-2375
Business Contact
Phone: (510) 849-2375
Research Institution
DESCRIPTION (provided by applicant): This Phase I SBIR will prove the feasibility of a design for a confocal scanning laser ophthalmoscope (cSLO) that can take high-resolution in-vivo images of the human eye. This cSLO will use long wavelength sources to permit deeper imaging than conventional cSLOs. More importantly, the system will incorporate micro-electro-mechanical adaptive optics (MEMS-AO) to dynamically correct the optical aberrations that currently preclude high-resolution imaging of these deeper layers. By combining these two technologies, it will be possible for the first time to observe, in vivo, currently irresolvable features of the human eye. Because many degenerative retinal diseases originate in these deep layers, such a system promises to boost our understanding of and ability to treat a host of debilitating eye diseases. After construction of a working prototype during Phase II, Iris AO will refine and test it by focusing primarily on age-related macular degenernd deformable mirror control, (2) MEMS mirror coating and packaging, (3) wide field imaging and fixation development, (4) experimental long wavelength imaging, (5) detailed ZEMAX optical system design. Phase II prototyping and Phase III commercialization will result in a general purpose, deep-imaging cSLO. Eye disease blinds thousands of Americans and degrades the eye sight of millions more. Under this proposal, new imaging technology will be developed to fight debilitating eye disease resulting in earlier disease detection, faster drug clinical trials, and better medical understanding.

* information listed above is at the time of submission.

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