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  5. Hartmann–Shack wavefront sensing without a lenslet array using a digital micromirror device
 
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Hartmann–Shack wavefront sensing without a lenslet array using a digital micromirror device

Author(s)
Vohnsen, Brian  
Carmichael Martins, Alessandra  
Qaysi, Salihah  
Sharmin, Najnin  
Uri
http://hdl.handle.net/10197/10079
Date Issued
2018-07-27
Date Available
2019-04-23T11:43:55Z
Abstract
The common Hartmann–Shack wavefront sensor makes use of a lenslet array to sample in-parallel optical wavefronts. Here, we introduce a Hartmann–Shack wavefront sensor that employs a digital micromirror device in combination with a single lens for serial sampling by scanning. Sensing is analyzed numerically and validated experimentally using a deformable mirror operated in closed-loop adaptive optics with a conventional Hartmann–Shack wavefront sensor, as well as with a set of ophthalmic trial lenses, to generate controllable amounts of monochromatic aberrations. The new sensor is free of crosstalk and can potentially operate at kilohertz speed. It offers a reconfigurable aperture that can exclude unwanted parts of the wavefront.
Sponsorship
European Commission Horizon 2020
University College Dublin
Other Sponsorship
King Abdullah Scholarship Program
UCD Seed Funding
Type of Material
Journal Article
Publisher
Optical Society of America
Journal
Applied Optics
Volume
57
Issue
22
Start Page
E199
End Page
E204
Copyright (Published Version)
2018 Optical Society of America
Subjects

Hartmann–Shack wavefr...

Adaptive optics

Wavefront sensing

DOI
10.1364/AO.57.00E199
Web versions
https://www.osapublishing.org/ao/abstract.cfm?uri=ao-57-22-E199
Language
English
Status of Item
Peer reviewed
ISSN
1539-4522
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

Applied Optics Vohnsen 2018 UCD repository.pdf

Size

1.05 MB

Format

Adobe PDF

Checksum (MD5)

d0416a2803392728941d9b5dc51bb17f

Owning collection
Physics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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