Overlapped Fourier coding for optical aberration removal
Abstract
We present an imaging procedure that simultaneously optimizes a camera's resolution and retrieves a sample's phase over a sequence of snapshots. The technique, termed overlapped Fourier coding (OFC), first digitally pans a small aperture across a camera's pupil plane with a spatial light modulator. At each aperture location, a unique image is acquired. The OFC algorithm then fuses these low-resolution images into a full-resolution estimate of the complex optical field incident upon the detector. Simultaneously, the algorithm utilizes redundancies within the acquired dataset to computationally estimate and remove unknown optical aberrations and system misalignments via simulated annealing. The result is an imaging system that can computationally overcome its optical imperfections to offer enhanced resolution, at the expense of taking multiple snapshots over time.
Additional Information
© 2014 Optical Society of America. Received 2 Jul 2014; revised 18 Sep 2014; accepted 19 Sep 2014; published 24 Sep 2014. The authors acknowledge funding support from the National Institutes of Health (grant no. 1DP2OD007307-01) and Clearbridge Biophotonics Pte Ltd., Singapore (Agency Award no. Clearbridge 1).Attached Files
Published - oe-22-20-24062.pdf
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Additional details
- PMCID
- PMC4247187
- Eprint ID
- 51385
- Resolver ID
- CaltechAUTHORS:20141106-135056845
- NIH
- 1DP2OD007307-01
- Clearbridge Biophotonics
- Created
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2014-11-06Created from EPrint's datestamp field
- Updated
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2021-11-10Created from EPrint's last_modified field