Related Experiment Video
Updated: Mar 28, 2026

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
Creation of Three New Optotypes Chart and Evaluation of the Reliability on Healthy Subjects
1Department of Ophthalmology, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong-si, Korea.
Purpose:
To design a new optotype that is not based on any Roman character.
Methods:
Fifty healthy adults (12 men and 38 women), aged between 20-35 years, were enrolled. Three new optototypes were designed. The first is an open square, the second is a horned square, and the last is a horned circle. The main outcome is the correlation between Landolt C visual acuity and that measured using the 3 newly designed optotypes.
Results:
Mean subject age was 27.2 ± 3.7 years. Corrected visual acuity scores were similar across all five tests. Under fogging, the three new optotypes yielded significantly lower scores than Tumbling E and no significant difference was found between the Landolt C and the new optotypes. Bland-Altman analysis showed minimal bias and the closest agreement with Landolt C for the open square optotype, especially under fogging conditions (Bias: -0.006; 95% LoA: -0.172 to 0.160). All five tests were significantly correlated (P < 0.001), with the open square showing the strongest correlation with Landolt C. Among subjects, 33% had ≥1 diopter of with-the-rule astigmatism, but fogging did not reveal differences between astigmats and non-astigmats. Visual acuity was higher in non-astigmats for all optotypes except the open square.
Conclusion:
Three newly developed and conventional optotypes including the Landolt C and Tumbling E tests to be similarly effective in measuring visual acuity. These optotypes can be considered as combinations of the Landolt C test.
More Related Videos
Related Concept Videos
Bioavailability Study Design: Healthy Subjects Versus Patients
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...

