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Retinal Image Simulation of Subjective Refraction Techniques

Refraction techniques make it possible to determine the most appropriate sphero-cylindrical lens prescription to achieve the best possible visual quality. Among these techniques, subjective refraction (i.e., patient’s response-guided refraction) is the most commonly used approach. In this context, t...

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Detalles Bibliográficos
Autores principales: Perches, Sara, Collados, M. Victoria, Ares, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777443/
https://www.ncbi.nlm.nih.gov/pubmed/26938648
http://dx.doi.org/10.1371/journal.pone.0150204
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author Perches, Sara
Collados, M. Victoria
Ares, Jorge
author_facet Perches, Sara
Collados, M. Victoria
Ares, Jorge
author_sort Perches, Sara
collection PubMed
description Refraction techniques make it possible to determine the most appropriate sphero-cylindrical lens prescription to achieve the best possible visual quality. Among these techniques, subjective refraction (i.e., patient’s response-guided refraction) is the most commonly used approach. In this context, this paper’s main goal is to present a simulation software that implements in a virtual manner various subjective-refraction techniques—including Jackson’s Cross-Cylinder test (JCC)—relying all on the observation of computer-generated retinal images. This software has also been used to evaluate visual quality when the JCC test is performed in multifocal-contact-lens wearers. The results reveal this software’s usefulness to simulate the retinal image quality that a particular visual compensation provides. Moreover, it can help to gain a deeper insight and to improve existing refraction techniques and it can be used for simulated training.
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spelling pubmed-47774432016-03-10 Retinal Image Simulation of Subjective Refraction Techniques Perches, Sara Collados, M. Victoria Ares, Jorge PLoS One Research Article Refraction techniques make it possible to determine the most appropriate sphero-cylindrical lens prescription to achieve the best possible visual quality. Among these techniques, subjective refraction (i.e., patient’s response-guided refraction) is the most commonly used approach. In this context, this paper’s main goal is to present a simulation software that implements in a virtual manner various subjective-refraction techniques—including Jackson’s Cross-Cylinder test (JCC)—relying all on the observation of computer-generated retinal images. This software has also been used to evaluate visual quality when the JCC test is performed in multifocal-contact-lens wearers. The results reveal this software’s usefulness to simulate the retinal image quality that a particular visual compensation provides. Moreover, it can help to gain a deeper insight and to improve existing refraction techniques and it can be used for simulated training. Public Library of Science 2016-03-03 /pmc/articles/PMC4777443/ /pubmed/26938648 http://dx.doi.org/10.1371/journal.pone.0150204 Text en © 2016 Perches et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Perches, Sara
Collados, M. Victoria
Ares, Jorge
Retinal Image Simulation of Subjective Refraction Techniques
title Retinal Image Simulation of Subjective Refraction Techniques
title_full Retinal Image Simulation of Subjective Refraction Techniques
title_fullStr Retinal Image Simulation of Subjective Refraction Techniques
title_full_unstemmed Retinal Image Simulation of Subjective Refraction Techniques
title_short Retinal Image Simulation of Subjective Refraction Techniques
title_sort retinal image simulation of subjective refraction techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777443/
https://www.ncbi.nlm.nih.gov/pubmed/26938648
http://dx.doi.org/10.1371/journal.pone.0150204
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