Design of an integrated hardware interface for AOSLO image capture and cone-targeted stimulus delivery.
We demonstrate an integrated FPGA solution to project highly stabilized, aberration-corrected stimuli directly onto the retina by means of real-time retinal image motion signals in combination with high speed modulation of a scanning laser. By reducing the latency between target location prediction and stimulus delivery, the stimulus location accuracy, in a subject with good fixation, is improved to 0.15 arcminutes from 0.26 arcminutes in our earlier solution. We also demonstrate the new FPGA solution is capable of delivering stabilized large stimulus pattern (up to 256 x 256 pixels) to the retina.
Yang
Qiang
Q
Montana State University, Bozeman, MT 59717, USA. yang@math.montana.edu
Arathorn
David W
DW
Tiruveedhula
Pavan
P
Vogel
Curtis R
CR
Roorda
Austin
A
D000465:Algorithms; D003201:Computers; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D007834:Lasers; D019721:Ophthalmoscopes; D009887:Ophthalmoscopy / Q000379:methods*; D010775:Photic Stimulation / Q000295:instrumentation* / Q000379:methods; D017949:Retinal Cone Photoreceptor Cells / Q000502:physiology*; D012984:Software