The DOI matches its OpenAlex record; 7 of the 7 references it cites were found in a registry or an index.
The Freiburg Visual Acuity Test???Automatic Measurement of Visual Acuity
Abstract
The Freiburg Visual Acuity test is an automated procedure for self-administered measurement of visual acuity. Landolt-Cs are presented on a monitor in one of eight orientations. The subject presses one of eight buttons, which are spatially arranged on a response box according to the eight possible positions of the Landolt-Cs' gap. To estimate the acuity threshold, a best PEST (best Parameter Estimation by Sequential Testing) procedure is used in which a psychometric function having a constant slope on a logarithmic acuity scale is assumed. Measurement terminates after a fixed number of trials. With computer monitors, pixel-discreteness artifacts limit the presentation of small stimuli. By using anti-aliasing, i.e., smoothing of contours by multiple gray levels, the spatial resolution was improved by a factor of four. Thus, even the shape of small Landolt-Cs with oblique gaps is adequate and visual acuities from 5/80 (0.06) up to 5/1.4 (3.6) can be tested at a distance of 5 m.
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Cites
(1966) · Medical Entomology and Zoology · Cited by 10,293
Collett, D. (1991) · Springer eBooks · doi:10.1007/978-1-4899-4475-7 · Cited by 1,936
Microcomputer-based estimation of psychophysical thresholds: The Best PEST
Lieberman, H. R., & Pentland, A. P. (1982) · Behavior Research Methods & Instrumentation · doi:10.3758/bf03202110 · Cited by 318
Efficient estimation of sensory thresholds
Harvey, L. O. (1986) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03201438 · Cited by 258
Scaling of Visual Acuity Measurements
Westheimer, G. (1979) · Archives of Ophthalmology · doi:10.1001/archopht.1979.01020010173020 · Cited by 226
An Automated Visual Acuity Testing Computer Program Using the Apple II System
Friendly, D. S., & Weiss, I. P. (1985) · American Journal of Ophthalmology · doi:10.1016/0002-9394(85)90231-4 · Cited by 20
Computer automated visual acuity testing for visual screening.
Wong, D., & Plumb, A. P. (1986) · PubMed · Cited by 10
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Artificial vision with wirelessly powered subretinal electronic implant alpha-IMS
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Binocular rivalry: frontal activity relates to introspection and action but not to perception
Frässle, S., Sommer, J., Jansen, A., Naber, M., & Einhäuser, W. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4403-13.2014 · Cited by 409
First-in-human trial of a novel suprachoroidal retinal prosthesis
Ayton, L. N., Blamey, P. J., Guymer, R. H., Luu, C. D., Nayagam, D. A. X., Sinclair, N. C., Shivdasani, M. N., Yeoh, J., McCombe, M. F., Briggs, R. J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115239 · Cited by 333
Long-lasting modulation of feature integrationby transcranial magnetic stimulation
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Metadata
- Authors
- Bach, M.
- Venue
- Optometry and Vision Science
- Publisher
- Lippincott Williams & Wilkins
- Published
- 1996-01-01
- Volume
- 73
- Issue
- 1
- Pages
- 49-53
- ISSN
- 1040-5488 (ISSN-L)
- OpenAlex
- W2013097262
- Cited by
- 984
- References
- 7
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
