Microscope-AOtools: a generalised adaptive optics implementation.


Journal

Optics express
ISSN: 1094-4087
Titre abrégé: Opt Express
Pays: United States
ID NLM: 101137103

Informations de publication

Date de publication:
28 Sep 2020
Historique:
entrez: 29 10 2020
pubmed: 30 10 2020
medline: 30 10 2020
Statut: ppublish

Résumé

Aberrations arising from sources such as sample heterogeneity and refractive index mismatches are constant problems in biological imaging. These aberrations reduce image quality and the achievable depth of imaging, particularly in super-resolution microscopy techniques. Adaptive optics (AO) technology has been proven to be effective in correcting for these aberrations, thereby improving the image quality. However, it has not been widely adopted by the biological imaging community due, in part, to difficulty in set-up and operation of AO. The methods for doing so are not novel or unknown, but new users often waste time and effort reimplementing existing methods for their specific set-ups, hardware, sample types, etc. Microscope-AOtools offers a robust, easy-to-use implementation of the essential methods for set-up and use of AO elements and techniques. These methods are constructed in a generalised manner that can utilise a range of adaptive optics elements, wavefront sensing techniques and sensorless AO correction methods. Furthermore, the methods are designed to be easily extensible as new techniques arise, leading to a streamlined pipeline for new AO technology and techniques to be adopted by the wider microscopy community.

Identifiants

pubmed: 33114806
pii: 439690
doi: 10.1364/OE.401117
pmc: PMC8219375
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

28987-29003

Subventions

Organisme : Wellcome Trust
ID : 209412
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 096144
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K01577X/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 107457
Pays : United Kingdom

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Auteurs

Classifications MeSH