Related Experiment Video
Updated: Feb 7, 2026

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
Clinical display of mfERG data
Michael F Marmor1, Lorella Cabael2
1Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, 2452 Watson Court, Palo Alto, CA, 94303, USA. marmor@stanford.edu.
This study introduces the Stanford Display for multifocal electroretinography (mfERG), improving retinal disease analysis by standardizing signal scaling and utilizing a retinal view for accurate localization and simplified interpretation of mfERG results.
Area of Science:
- Ophthalmology
- Neuroscience
- Medical Imaging
Background:
- Multifocal electroretinography (mfERG) displays often present inaccurate signal representations due to non-uniform scaling and lack of clear retinal localization.
- Traditional mfERG printouts can be misleading, using 3-D plots and variable ring response densities that hinder clinical interpretation and literature communication.
Observation:
- The Stanford Display modifies the mfERG scaling factor to achieve near-equal signal amplitudes across the entire trace array.
- Responses are presented in a spatially scaled array with a retinal view, ensuring signals are displayed in their correct anatomical positions relative to fundus images.
Findings:
- The revised mfERG display facilitates easier analysis of retinal diseases by clearly localizing areas of signal loss.
- Ring ratios, normalized to a standard value of 1.0, simplify response amplitude analysis.
- A case study of early hydroxychloroquine retinopathy effectively demonstrates the utility of the Stanford Display.
Implications:
- Adopting standardized mfERG recording and display options, such as proper scaling and retinal/field views, can enhance diagnostic value.
- Improved mfERG analysis aids in the precise localization of retinal disease and simplifies interpretation of ring response data.
- This approach can improve communication and consistency in mfERG research and clinical practice.
More Related Videos
09:04Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display
Published on: January 14, 2020
06:32Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
Related Concept Videos
Statistical Software for Data Analysis and Clinical Trials
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Data Reporting and Recording
Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Clinical Trials
There are four phases in a clinical trial. A phase one...