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Related Experiment Video

Updated: Aug 18, 2025

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Measure of Visual Function.

Sitara H Hirji¹

¹Columbia University Irving Medical Center/New York-Presbyterian Hospital, New York, NY, USA. shh2138@cumc.columbia.edu.

Methods in Molecular Biology (Clifton, N.J.)

|December 9, 2022

Summary

This summary is machine-generated.

This chapter details visual function assessment methods for monitoring retinitis pigmentosa (RP) progression and treatment response. It covers techniques like full-field stimulus testing (FST) and advanced imaging for RP patient evaluation.

Keywords:

Autofluorescence FST Genetic retinopathy NIR-AF Pigment epithelium Retinitis pigmentosa Visual function qAF

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Area of Science:

Ophthalmology
Medical Imaging
Retinal Diseases

Background:

Retinitis pigmentosa (RP) is a group of inherited retinal diseases causing progressive vision loss.
Accurate assessment of visual function is crucial for tracking RP progression and evaluating treatment efficacy.
Current assessment methods need to be comprehensive to capture the multifaceted nature of vision loss in RP.

Purpose of the Study:

To describe various methods for assessing visual function in retinitis pigmentosa (RP) patients.
To detail the application of these methods for monitoring disease progression and treatment response.
To outline protocols for advanced imaging techniques in RP.

Main Methods:

Full-field stimulus testing (FST) for assessing overall retinal function.
Near-infrared autofluorescence (NIR-AF) and quantitative fundus autofluorescence (qAF) for evaluating retinal pigment epithelium health.
Quantitative near-infrared autofluorescence (qNIR-AF) for detailed RPE analysis.
Adaptive optics (AO) imaging protocols for high-resolution retinal visualization.

Main Results:

Each described method provides specific insights into visual function and disease status in RP.
FST measures the overall light sensitivity of the retina.
Autofluorescence techniques (NIR-AF, qAF, qNIR-AF) reveal RPE integrity and function.
AO imaging offers cellular-level detail of retinal structures in RP.

Conclusions:

A combination of functional and imaging-based assessments is essential for comprehensive RP patient management.
These methods, supported by literature, aid in understanding disease mechanisms and treatment outcomes.
Standardized protocols for these assessments facilitate consistent evaluation and comparison across studies.