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PupilEXT: Flexible Open-Source Platform for High-Resolution Pupillometry in Vision Research

Zandi, Babak ; Lode, Moritz ; Herzog, Alexander ; Sakas, Georgios ; Khanh, Tran Quoc (2021):
PupilEXT: Flexible Open-Source Platform for High-Resolution Pupillometry in Vision Research. (Publisher's Version)
In: Frontiers in Neuroscience, 15, Frontiers, e-ISSN 1662-453X,
DOI: 10.26083/tuprints-00019363,
[Article]

Abstract

The human pupil behavior has gained increased attention due to the discovery of the intrinsically photosensitive retinal ganglion cells and the afferent pupil control path’s role as a biomarker for cognitive processes. Diameter changes in the range of 10⁻² mm are of interest, requiring reliable and characterized measurement equipment to accurately detect neurocognitive effects on the pupil. Mostly commercial solutions are used as measurement devices in pupillometry which is associated with high investments. Moreover, commercial systems rely on closed software, restricting conclusions about the used pupil-tracking algorithms. Here, we developed an open-source pupillometry platform consisting of hardware and software competitive with high-end commercial stereo eye-tracking systems. Our goal was to make a professional remote pupil measurement pipeline for laboratory conditions accessible for everyone. This work’s core outcome is an integrated cross-platform (macOS, Windows and Linux) pupillometry software called PupilEXT, featuring a user-friendly graphical interface covering the relevant requirements of professional pupil response research. We offer a selection of six state-of-the-art open-source pupil detection algorithms (Starburst, Swirski, ExCuSe, ElSe, PuRe and PuReST) to perform the pupil measurement. A developed 120-fps pupillometry demo system was able to achieve a calibration accuracy of 0.003 mm and an averaged temporal pupil measurement detection accuracy of 0.0059 mm in stereo mode. The PupilEXT software has extended features in pupil detection, measurement validation, image acquisition, data acquisition, offline pupil measurement, camera calibration, stereo vision, data visualization and system independence, all combined in a single open-source interface, available at https://github.com/openPupil/Open-PupilEXT.

Item Type: Article
Erschienen: 2021
Creators: Zandi, Babak ; Lode, Moritz ; Herzog, Alexander ; Sakas, Georgios ; Khanh, Tran Quoc
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: PupilEXT: Flexible Open-Source Platform for High-Resolution Pupillometry in Vision Research
Language: English
Abstract:

The human pupil behavior has gained increased attention due to the discovery of the intrinsically photosensitive retinal ganglion cells and the afferent pupil control path’s role as a biomarker for cognitive processes. Diameter changes in the range of 10⁻² mm are of interest, requiring reliable and characterized measurement equipment to accurately detect neurocognitive effects on the pupil. Mostly commercial solutions are used as measurement devices in pupillometry which is associated with high investments. Moreover, commercial systems rely on closed software, restricting conclusions about the used pupil-tracking algorithms. Here, we developed an open-source pupillometry platform consisting of hardware and software competitive with high-end commercial stereo eye-tracking systems. Our goal was to make a professional remote pupil measurement pipeline for laboratory conditions accessible for everyone. This work’s core outcome is an integrated cross-platform (macOS, Windows and Linux) pupillometry software called PupilEXT, featuring a user-friendly graphical interface covering the relevant requirements of professional pupil response research. We offer a selection of six state-of-the-art open-source pupil detection algorithms (Starburst, Swirski, ExCuSe, ElSe, PuRe and PuReST) to perform the pupil measurement. A developed 120-fps pupillometry demo system was able to achieve a calibration accuracy of 0.003 mm and an averaged temporal pupil measurement detection accuracy of 0.0059 mm in stereo mode. The PupilEXT software has extended features in pupil detection, measurement validation, image acquisition, data acquisition, offline pupil measurement, camera calibration, stereo vision, data visualization and system independence, all combined in a single open-source interface, available at https://github.com/openPupil/Open-PupilEXT.

Journal or Publication Title: Frontiers in Neuroscience
Journal volume: 15
Publisher: Frontiers
Collation: 24 Seiten
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Light Technology
Date Deposited: 25 Aug 2021 12:31
DOI: 10.26083/tuprints-00019363
Official URL: https://tuprints.ulb.tu-darmstadt.de/19363
URN: urn:nbn:de:tuda-tuprints-193634
Additional Information:

Keywords: pupillometry, pupil measurement, stereo camera, vision research, pupil diameter, eye tracking, open source

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