AST

Providing smart tools to measure health—
beginning with a new platform
for a comprehensive assessment of vision.

Create a vision graph with rich information about a person’s everyday vision.

Algorithms search a huge test space in real time to personalize your test.

Personalized, precision metrics improve the detection of any changes in your vision, relative to your baseline.

Contrast sensitivity, as assessed by AULCSF and contrast sensitivity measurements at various spatial frequencies on the AST Platform, was the most sensitive test for detection of subtle functional differences in diabetic patients both with and without retinopathy.
Joltikov et al,
IOVS, 2017
A recently published Bayesian adaptive method to quickly estimate the CSF—quick-CSF—holds great potential.
Rosen et al
Journal of Vision, 2014
The qCSF is a promising new outcome for low-contrast vision in MS and other neurological diseases. Here we show a closer link to patient-reported visual function than standard low- and high-contrast charts.
Stellmann et al
Multiple Sclerosis Journal – Experimental, Translational and Clinical, 2015
We show that the qCSF methodology is adaptable to different kinds of ﬁrst- and second-order measurements…. It has the potential to become a powerful tool to investigate the sensitivity of the human visual system.
Reynaud, Tang, Zhou, Hess
Journal of Vision, 2014
Of note, the qCSF test stands out in terms of its precision and repeatability across the full spectrum of SFs [...]
Thurman et al
Journal of Vision, 2016
The modiﬁed qCSF method allows fast assessment of functionally relevant peripheral vision.
Rosen et al
Journal of Vision, 2014
On this count, we believe the quick CSF has proven the best potential in terms of delivering highly repeatable measurements [...]
Thurman et al
Journal of Vision, 2016