Design of an integrated hardware interface for AOSLO image capture and cone-targeted stimulus delivery

Area of Science:

• Ophthalmology
• Biomedical Engineering
• Neuroscience

Background:

• Accurate visual stimulus delivery is crucial for retinal research and diagnostics.
• Previous methods faced limitations in latency and stimulus precision.
• Retinal image motion can degrade stimulus localization accuracy.

Purpose of the Study:

• To develop and demonstrate an integrated Field-Programmable Gate Array (FPGA) solution for highly stabilized, aberration-corrected retinal stimulus projection.
• To improve the accuracy and stability of stimuli delivered directly to the retina.
• To assess the system's capability for delivering large-scale, stabilized stimulus patterns.

Main Methods:

• Utilized real-time retinal image motion signals for feedback control.
• Implemented high-speed modulation of a scanning laser for stimulus delivery.
• Integrated the system onto an FPGA for reduced latency and real-time processing.

Main Results:

• Achieved a stimulus location accuracy of 0.15 arcminutes, a significant improvement over the previous 0.26 arcminutes.
• Demonstrated reduced latency between target prediction and stimulus delivery.
• Successfully delivered stabilized large stimulus patterns (up to 256 x 256 pixels) to the retina.

Conclusions:

• The integrated FPGA solution offers enhanced precision and stability for retinal stimulus projection.
• This technology has the potential to advance retinal imaging, visual neuroscience research, and clinical diagnostics.
• The system's ability to deliver large, stabilized patterns opens new possibilities for studying visual perception and retinal function.