Article

Pupil-DLC: an open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states

2026-01-21

Abstract excerpt

<h4>Background</h4> Pupil diameter is a non-invasive biomarker of brain state, correlating with arousal, attention, cognitive processing, and consciousness. However, existing pupillometry software often lacks scalability and robustness across diverse experimental conditions and species. <h4>New method</h4> We introduce Pupil-DLC, an open-source, offline, DeepLabCut-based pipeline for scalable, marker-less pupil...

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Literature Corpus work: c5594de1-a0bc-57a0-bc56-94f69e9ceceb
DOI: 10.64898/2026.01.18.700183

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