Evidence map›Paper›PMID 42629472›Full record

ArticleBehavior research methods2026

MEYELens: An affordable, open-source, 3D-printable eyewear platform for pupillometry and gaze tracking.

Giacomo Vecchieschi, Letizia Ingenito, Alessandro Benedetto, Caterina Luciani, Fabio Carrara, Giovanni Cioni, Andrea Guzzetta, Tommaso Pizzorusso, Laura Baroncelli, Raffaele M Mazziotti

Abstract read
In one paragraph

Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Giacomo VecchieschiDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Letizia IngenitoDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Alessandro BenedettoDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, viale Gaetano Pieraccini, 6, 50139, Florence, Italy.
Caterina LucianiBIO@SNS Lab, Scuola Normale Superiore, Pisa, Italy.
Fabio CarraraInstitute of Information Science and Technologies, National Research Council, Pisa, Italy.
Giovanni CioniDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Andrea GuzzettaDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Tommaso PizzorussoBIO@SNS Lab, Scuola Normale Superiore, Pisa, Italy.
Laura BaroncelliDepartment of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.
Raffaele M MazziottiDepartment of Neuroscience, Psychology, Pharmacology, and Child Health, University of Florence, viale Gaetano Pieraccini, 6, 50139, Florence, Italy. raffaelemario.mazziotti@unifi.it.

Funding

THE - tuscany health Ecosystem ECS00000017
6 · The paper itself

Abstract

Pupillometry and gaze tracking provide sensitive, noninvasive indices of autonomic function and cognitive state and are increasingly employed in neuroscience and clinical research. However, commonly used systems remain costly and often constrain hardware customization and workflow transparency. MEYELens is presented as an open-source, fully 3D-printable wearable system for low-cost pupillometry and gaze tracking using readily available components. The design is modular and mechanically adjustable to accommodate different users and experimental requirements. An open pipeline is provided for data acquisition and for both offline and online analysis. Feasibility is demonstrated across frequency-based and task-evoked pupillary paradigms, and gaze mapping is shown to operate in both screen-based and naturalistic settings. By combining affordability, modular hardware, and open software, MEYELens reduces barriers to reliable eye-based measurement and supports methodological development in resource-constrained research contexts.

Indexed as

Eye-Tracking TechnologyFixation, OcularPupilWearable Electronic DevicesHumansMotion CaptureSoftwareEye trackingGaze trackingPupillometryWearable eye-tracking system

Identifiers

PMID42629472
PMCPMC13498615

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.