Automated vision testing of the eyesight of a person is both a complex and important procedure for the diagnosis of conditions such as cataracts, glaucoma, retinal tears, and other eye ailments and pathologies. Automated vision tests involve the use of sophisticated computer hardware and software, precise lighting and illumination, and precise measurement devices, all of which are custom-designed based on the particular requirements of the patient.
The first step in any automated vision test is the taking of an eye exam. This typically consists of an eye doctors examination, which can take up to an hour depending upon the complexity of the check-up. Other tests may also be included such as a visual acuity test, pupil reflex test, and intraocular pressure test. Once the exam has been completed, the results are then sent to a computer for analysis.
Once the results have been received, a program is used to interpret the data, and determine the overall structure of the eye. The program then calculates the optical power of the eye, which can then be used to identify any irregularities in the optical system. The program also takes into account factors such as the eye colour, age, and pupil size. Other important factors such as light intensity, colour and contrast, are also taken into consideration.
Using this information, a report is generated which contains details such as the result of the exam, the vision level of the eye, and the causes of any abnormalities. These reports can be further broken down into specific areas of the eye. Depending upon the type of test, the analysis of the report may include a variety of tests such as refraction, wavefront, polarization, and wavefront error analysis.
In addition to actually testing vision, automated vision tests can be employed to help diagnose and treat certain diseases or conditions. For example, by monitoring the progression of eye diseases such as glaucoma, automated vision testing can provide both diagnostic and treatment progress reports. In addition, the results of the automated vision test can be used to identify and treat vision problems caused by computational problems.
Finally, automated vision testing has a number of advantages over traditional, manual vision tests. Automated vision tests are much faster, and far less prone to human error. Additionally, the data collected and analyzed by the automated vision test is much more accurate and reliable than manual tests. Automated vision testing can be used to diagnose and treat vision problems quicker, more accurately, and more efficiently than ever before.