| Autor: |
Q. Hu, J. Wang, J. Antonello, M. Hailstone, M. Wincott, R. Turcotte, D. Gala, M. J. Booth |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
APL Photonics, Vol 5, Iss 10, Pp 100801-100801-10 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2378-0967 |
| DOI: |
10.1063/5.0022523 |
| Popis: |
Adaptive optics (AO) methods are widely used in microscopes to improve image quality through correction of phase aberrations. A range of wavefront-sensorless AO schemes exist, such as modal, pupil segmentation zonal, and pixelated piston-based methods. Each of these has a different physical implementation that makes direct comparisons difficult. Here, we propose a framework that fits in all sensorless AO methods and facilitates systematic comparisons among them. We introduce a general model for the aberration representation that encompasses many existing methods. Through modeling and experimental verification in a two-photon microscope, we compared sensorless AO schemes with a range of aberration representations to correct both simulated and sample induced aberrations. The results show that different representations can provide a better basis for correction in different experimental scenarios, which can inform the choice of sensorless AO schemes for a particular application. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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