# Spatially-selective and quantum-statistics-limited light stimulus for   retina biometrics and pupillometry

**Authors:** A. Margaritakis, G. Anyfantaki, K. Mouloudakis, A. Gratsea, I. K., Kominis

arXiv: 1907.06539 · 2020-05-08

## TL;DR

This paper introduces a novel laser light source with spatial and photon-counting control, enhancing retina biometrics and pupillometry by enabling precise, pattern-based illumination and data collection for quantum vision applications.

## Contribution

The authors develop a programmable, spatially-selective laser stimulus source that supports photon-counting and pattern control, advancing biometric and pupillometry techniques.

## Key findings

- Demonstrated precise control of illumination patterns and photon numbers.
- Showed potential for improved biometric identification using quantum vision.
- Enhanced pupillometry with spatially-selective, high-precision stimuli.

## Abstract

Quantum vision is currently emerging as an interdisciplinary field synthesizing the physiology of human vision with modern quantum optics. We recently proposed a biometric scheme based on the human visual system's ability to perform photon counting. We here present a light stimulus source that can provide for the requirements of this biometric scheme, namely a laser light beam having a cross section consisting of discrete pixels, allowing for an arbitrary pattern of illuminated pixels, each having a photon number per unit time obeying a Poisson distribution around the mean. Both the illumination pattern and the photon number per pixel per unit time are computer controlled, offering simple and unsupervised scanning of these parameters. Moreover, infrared light exactly superimposed on the stimulus pattern can be used for acquiring exact information on the illumination geometry on the pupil. The same light stimulus source can be used to advance pupillometry to a higher level of control and precision, as current pupillometers lack spatial selectivity in illumination. We present pupillometry measurements demonstrating the potential of this source to offer a wealth of information on vision and brain function.

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/1907.06539/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/1907.06539/full.md

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Source: https://tomesphere.com/paper/1907.06539