scholarly journals Transverse chromatic offsets with pupil displacements in the human eye: Sources of variability and methods for real-time correction

2018 ◽  
Author(s):  
Alexandra E. Boehm ◽  
Claudio M. Privitera ◽  
Brian P. Schmidt ◽  
Austin Roorda

AbstractTracking SLO systems equipped to perform retinally targeted stimulus delivery typically use near-IR wavelengths for retinal imaging and eye tracking and visible wavelengths for stimulation. The lateral offsets between wavelengths caused by transverse chromatic aberration (TCA) must be carefully corrected in order to deliver targeted stimuli to the correct location on the retina. However, both the magnitude and direction of the TCA offset is dependent on the position of the eye’s pupil relative to the incoming beam, and thus can change dynamically within an experimental session without proper control of the pupil position. The goals of this study were twofold: 1) To assess sources of variability in TCA alignments as a function of pupil displacements in an SLO and 2) To demonstrate a novel method for real-time correction of chromatic offsets. To summarize, we found substantial between- and within-subject variability in TCA in the presence of monochromatic aberrations. When adaptive optics was used to fully correct for monochromatic aberrations, variability both within and between observers was minimized. In a second experiment, we demonstrate that pupil tracking can be used to update stimulus delivery in the SLO in real time to correct for variability in chromatic offsets with pupil displacements.


2018 ◽  
Vol 620 ◽  
pp. A73 ◽  
Author(s):  
A. Asensio Ramos ◽  
J. de la Cruz Rodríguez ◽  
A. Pastor Yabar

The quality of images of the Sun obtained from the ground are severely limited by the perturbing effect of the Earth’s turbulent atmosphere. The post-facto correction of the images to compensate for the presence of the atmosphere require the combination of high-order adaptive optics techniques, fast measurements to freeze the turbulent atmosphere, and very time-consuming blind deconvolution algorithms. Under mild seeing conditions, blind deconvolution algorithms can produce images of astonishing quality. They can be very competitive with those obtained from space, with the huge advantage of the flexibility of the instrumentation thanks to the direct access to the telescope. In this contribution we make use of deep learning techniques to significantly accelerate the blind deconvolution process and produce corrected images at a peak rate of ∼100 images per second. We present two different architectures that produce excellent image corrections with noise suppression while maintaining the photometric properties of the images. As a consequence, polarimetric signals can be obtained with standard polarimetric modulation without any significant artifact. With the expected improvements in computer hardware and algorithms, we anticipate that on-site real-time correction of solar images will be possible in the near future.



1995 ◽  
Author(s):  
Rod Clark ◽  
John Karpinsky ◽  
Gregg Borek ◽  
Eric Johnson
Keyword(s):  


2013 ◽  
Vol 18 (11) ◽  
pp. 1416-1425 ◽  
Author(s):  
Xiao-Ling Wu ◽  
Xiao-Hua Xiang ◽  
Chuan-Hai Wang ◽  
Xi Chen ◽  
Chong-Yu Xu ◽  
...  


2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
沁雨 朱 ◽  
◽  
国庆 韩 ◽  
建涛 彭 ◽  
启龙 饶 ◽  
...  


Author(s):  
A. Polo ◽  
A. Haber ◽  
S. F. Pereira ◽  
M. Verhaegen ◽  
H. P. Urbach




Author(s):  
C. E. Lin ◽  
W. C. Huang ◽  
C. W. Hsu ◽  
C. C. Li
Keyword(s):  




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