A Geometric Optical Analysis of Human Retinal Cells and the Hypothesis of Monocular Stereoscopic Vision
Ding, Y.; Ding, D.; Ding, D.; Jiang, R.
Show abstract
We propose a geometric optical model that describes real-image formation via monocular vision in three dimensions. We only assume that the ganglion cell nuclei, bipolar cell nuclei, and photoreceptor cell nuclei in the human retina can be treated as microlenses and actively participate in imaging. In particular, we suggest that monocular vision operates via an array of high-magnification micro-real-image telescopes oriented in various azimuthal directions. The main elements of each telescope are the following. The first is the cornea and crystalline lens, which serve as objective lenses with tunable focal lengths. The second is a paired array of ganglion cell nuclei and bipolar cell nuclei, which act as a conjugate mirror. The third is an individual photoreceptor cell nuclei (cone or rod nuclei), which function as a micro-eyepiece. The fourth is the outer segment of each photoreceptor cell, which serves as a micro-object-distance sensor. We also hypothesize that six combinations of conjugate mirrors and micro-eyepiece arrays work within the human eye. Each combination is responsible for perceiving different ranges of object distances. We further hypothesize that the process by which one human eye perceives object distances involves two stages: from near to finite distances, and from finite distances to infinite distances. In different stages, the distance between different optical elements is tuned so that the object distance can be computed a specific formula when the photocurrent at the retina photoreceptors outer segment layer vanishes. Lastly, we conduct computational simulations. We find that there are two possible processes. By tuning the distances between the elements of our optical model, the eye can perceive object distances as close as 25 cm to dozens of meters in one process and dozens of meters to kilometers in the other process, depending on the sensitivity of the eye to small changes in focal plane spacing.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Optical bench simulation for intraocular lenses using field-tracing technology 96%
- A method for continuously monitoring the quality of Masson pine seedlings 96%
- An overview of GabRat edge disruption and its new extensions for unbiased quantification of disruptive camouflaging patterns using randomization technique 95%
Similar papers in this journal
- Modeling and Visualization of Rice Root Based on Morphological Parameters 94%
- Accurate detection of non-proliferative diabetic retinopathy in optical coherence tomography images using convolutional neural networks 92%
- Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.