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Updated: Jun 5, 2026

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Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
Published on: February 23, 2024
Evaluation of single pixel step sizes in visual acuity assessment
Andrew J Toole1, Thomas W Raasch, Nick Fogt
1College of Optometry, The Ohio State University, Columbus, Ohio 43210, USA. atoole@optometry.osu.edu
Summary
Visual acuity testing is valid even when letter sizes are not multiples of 5 pixels. This finding supports adaptive psychometric procedures like ZEST and QUEST for more precise threshold estimation.
Area of Science:
- Ophthalmology
- Vision Science
- Psychophysics
Background:
- Adaptive thresholding procedures, such as the Z-algorithm (ZEST), improve the precision of visual acuity testing by focusing on estimates near the current threshold.
- Smaller increments in letter size may enhance the accuracy of these adaptive techniques.
Purpose of the Study:
- To evaluate the validity of visual acuity assessment when letter sizes are not restricted to multiples of 5 pixels.
- To determine if non-standard pixel increments affect the precision of adaptive thresholding procedures.
Main Methods:
- Snellen letters were presented with sizes varying by ±5 pixels around the estimated threshold.
- Letter sizes that were multiples of 5 pixels were presented 160 times, while other sizes were presented 40 times.
- Post hoc ZEST procedures and simulations were used to compute and validate acuity threshold estimates.
Main Results:
- No significant differences in acuity thresholds were observed between letters rendered in multiples of 5 pixels and those without this constraint.
- Empirical data from subjects and simulations fell within established bounds, indicating reliable results for both conditions.
- No idiosyncratic results were found for either set of letter sizes tested.
Conclusions:
- Visual acuity scores derived from letter sizes not conforming to a 5-pixel multiple are valid.
- This finding supports the use of adaptive psychometric procedures like ZEST and QUEST, allowing for optimal letter size selection near the estimated threshold.

