Clinical Vision Science

A Concise Guide to Numbers, Laws, and Formulas

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Éditeur :

Springer


Paru le : 2020-04-16



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Description

This book provides a concise and user-friendly guide to the most common and important numbers, laws and formulas in clinical vision science. Clinicians and trainees in ophthalmology, optometry, orthoptics, and ophthalmic dispensing, who are seeking an easy-to-use lab coat pocket size resource, will find this book to be an essential reference in clinical practice.

Clinical Vision Science: A Concise Guide to Numbers, Laws, and Formulas is clearly structured into basics, physical optics, visual optics and ophthalmic lenses, optical instruments, photometry, visual perception, clinical procedures, and anatomy & binocular vision. Each chapter contains a range of tables, formulas, large illustrations and flow charts to allow readers to quickly and accurately find key facts for each type of examination procedure.
Pages
159 pages
Collection
n.c
Parution
2020-04-16
Marque
Springer
EAN papier
9783030353391
EAN PDF
9783030353407

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
6359 Ko
Prix
73,84 €
EAN EPUB
9783030353407

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
18350 Ko
Prix
73,84 €

Dr Gunnar Schmidtmann is a lecturer in Optometry and joined the University of Plymouth in September 2017. Between 2009 and 2013, he completed a PhD in visual neuroscience at Glasgow Caledonian University (Scotland). For his postgraduate studies, he investigated aspects of shape and contour perception. He continued with this line of research as a postdoctoral research fellow at the McGill Vision Research Unit at McGill University (Montreal, Canada) between 2013 and 2016. He subsequently joined the Laboratory for Integrative Neuroscience at McGill University to investigate the visual functions of patients with traumatic brain injuries and stroke; research that involved the application of brain imaging techniques. His research interests range from computational modeling of the human visual system to understand shape perception to face perception, and clinical studies on the consequences of traumatic brain injuries on visual function. 


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