`
University of Rochester
Institute of OpticsPRAISE
 
Home
Home
Professor Fienup
Research
Research
Group members
Publications
Links
Fun
Fun

Phase Retrieval and Imaging Science Group
Prof. James R. Fienup

The Phase Retrieval and Imaging Science Group in the Intitute of Optics at the University of Rochester performs research in the areas of unconventional imaging, phase retrieval, wave-front sensing, imaging with sparse-aperture telescopes, and image reconstruction algorithms.

What we do (paper titles analyzed by www.wordle.net)
(Click on the picture and enlarge the resulting window to get a larger version of it:)

News Flash: Prof. Fienup was elected to the National Academy of Engineering.

News Flash: Dustin Moore wins Hilbert Competition. The Synopsis Corporation (formerly Optical Research Associates) awarded the 2011 Robert S. Hilbert Memorial Optical Design Competition prize to Dustin Moore (and to Bin Ma, also associated with the Institute of Optics). Dustin's project was titled, "A High Resolution Four-Pi Steradian Panoramic Video System."

Recently Published Papers & Patents
(PDFs of these papers can be downloaded from our web site after clicking on the Publications box to the left.)

By Abbie Tippie : "High-resolution synthetic-aperture digital holography with digital phase and pupil correction," Opt. Express 19, 12027-12038 (2011).

By Sapna Shroff: U.S. Patent No. 8,279,329, “Structured Illumination for Imaging of Stationary and Non-stationary, Fluorescent and Non-fluorescent, Objects,” Issued October 2, 2012.

By Manuel Guizar-Sicairos: "Understanding the twin-image problem in phase retrieval," J. Opt. Soc. Am. A 29, 2367-2375 (2012).
The above article was featured in the OSA's "Spotlight on Optics"
"Measurement of hard x-ray lens wavefront aberrations using phase retrieval," Appl. Phys. Lett. 98, 111108 (2011).

By Sam Thurman: "Method of obtaining wavefront slope data from through-focus point spread function measurements," J. Opt. Soc. Am. A 28, 1-7 (2011).

By Prof. Fienup: “Phase Retrieval Algorithms: a Personal Tour [Invited],” Appl. Opt. 52, 45-56 (2013).

NASA's James Webb Space Telescope will need phase retrieval to align the 18 segments of the primary mirror. Similar phase retrieval algorithms were used to determine how to fix the Hubble Space Telescope.
NASA's Terrestrial Planet Finder will need phase retrieval for alignment of multiple (possibly flying-in-formation) interferometric imaging telescopes, and image reconstruction algorithms to undo image blurring due to sparse-aperture effects.
Phase retrieval algorithms can be used to perform optical metrology, testing aspheric optical surfaces during their manufacture with a simple system not requiring a null lens.
Image sharpening algorithms can be used to estimate multiple phase screens throughout a volume of turbulence and reconstruct fine-resolution images of objects, despite the space-variant blurring effects of atmospheric turbulence.
Phase retrieval algorithms can be used to reconstruct fine-resolution images of satellites and astronomical objects, despite the blurring effects of atmospheric turbulence.
Telescopes having sparse apertures or made up of an array of multiple smaller telescopes can give fine resolution images, while having large savings on size and weight. Image restoration and phase retrieval (to align the sub-apertures) are needed to achieve good quality imagery.


 

 

0