Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Screening test for early detection of myopia based on hybrid images
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 20 February 2026

Screening test for early detection of myopia based on hybrid images

  • Federico Tommasi1,
  • Francesca Cosseddu1,
  • Alessio Giorgetti1,
  • Paolo Antonino Grasso1,
  • Alessandro Farini1,2 &
  • …
  • Massimo Gurioli1 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Applied physics
  • Optics and photonics
  • Population screening

Abstract

Myopia screening is crucial as early intervention can slow its progression reducing the risk of vision-threatening diseases. We present an innovative method that can be used by non-experts, such as parents. The method relies on “hybrid images”, an optical illusion merging two images with different spatial frequencies, creating a perception that changes depending on visual acuity. Hybrid images are created by combining one image with reduced low spatial frequencies and another with attenuated high spatial frequencies. Various cutoff frequencies have been tested, and an optimization phase was run to select the best-performing images using subjects with known visual acuity altered by positive lenses. We used animal images, as they are well-suited for hybrid images due to their facial features and help frame the screening as a game, an essential aspect for children and engaging for young people. The optimized hybrid images were tested monocularly on 81 young adults (mean age \(22\pm 6\)) with and without visual correction. The method showed high accuracy in distinguishing visual acuity above or below +0.1 logMar, with sensitivity ranging from 0.86 to 0.95 and specificity from 0.94 to 0.97. Presented as a proof of concept, the method demonstrates high specificity, highlighting its potential for non-clinical screenings (e.g., schools) using only five printed images.

Similar content being viewed by others

Prevalence of myopia and its risk factors in rural school children in North India: the North India myopia rural study (NIM-R Study)

Article 13 October 2021

Deep learning system to predict the 5-year risk of high myopia using fundus imaging in children

Article Open access 26 January 2023

Three-year change in refractive error and its risk factors: results from the Shahroud School Children Eye Cohort Study

Article 23 August 2022

Data availability

Data is provided within the manuscript.

References

  1. Moore, M., Lingham, G., Flitcroft, D. I. & Loughman, J. Myopia progression patterns among paediatric patients in a clinical setting. Ophthalmic Physiol. Opt. 44, 258–269 (2024).

    Google Scholar 

  2. Martínez-Albert, N., Bueno-Gimeno, I. & Gené-Sampedro, A. Risk factors for myopia: A review. J. Clin. Med. 12, 6062 (2023).

    Google Scholar 

  3. Liang, J. Trend and projection of myopia in children and adolescents from 1990 to 2050: A comprehensive systematic review and meta-analysis’’. Br. J. Ophthalmol. 362, 109 (2025).

    Google Scholar 

  4. Ghorbani-Mojarrad, N., Han, X., Dbayat, N. & Ding, X. What do we know about premyopia and should we be giving it greater consideration? (2025).

  5. Oliva, A. & Schyns, P. G. Hybrid image illusion. In The Oxford Compendium of Visual Illusions (Oxford University Press, 2017).

  6. Martinez-Conde, S. et al. Marvels of illusion: Illusion and perception in the art of Salvador dali. Front. Hum. Neurosci. https://doi.org/10.3389/fnhum.2015.00496 (2015).

    Google Scholar 

  7. Oliva, A., Torralba, A. & Schyns, P. G. Hybrid images. ACM Transactions on Graphics (TOG) 25, 527–532 (2006).

    Google Scholar 

  8. Arrighi, R., Arecchi, F. T., Farini, A. & Gheri, C. Cueing the interpretation of a Necker cube: A way to inspect fundamental cognitive processes. Cogn. Process. 10, 95–99 (2009).

    Google Scholar 

  9. Tommasi, F. et al. Optimizing hybrid images for an easy screening of the visual acuity. Nuovo Cimento C 47, 335 (2024).

    Google Scholar 

  10. Sripian, P. & Yamaguchi, Y. Hybrid image of three contents. Vis. Comput. Ind. Biomed. Art 3, 4 (2020).

    Google Scholar 

  11. Sripian, P. Toward using hybrid image as a visual acuity assessment tool. In 2016 Nicograph International (NicoInt) 171–177 (IEEE, 2016).

  12. Prins, N. & Kingdom, F. A. A. Applying the model-comparison approach to test specific research hypotheses in psychophysical research using the Palamedes toolbox. Front. Psychol. 9 (2018).

  13. Kingdom, F. A. & Prins, N. Chapter 4 - psychometric functions. In Psychophysics 2nd edn (eds Kingdom, F. A. & Prins, N.) 55–117 (Academic Press, 2016).

    Google Scholar 

  14. Yerushalmy, J. Statistical problems in assessing methods of medical diagnosis, with special reference to X-ray techniques. Public Health Rep. 1896–1970(62), 1432–1449 (1947).

    Google Scholar 

Download references

Funding

The authors received no specific funding for this work.

Author information

Authors and Affiliations

  1. Department of Physics and Astronomy, University of Florence, 50019, Sesto Fiorentino, Italy

    Federico Tommasi, Francesca Cosseddu, Alessio Giorgetti, Paolo Antonino Grasso, Alessandro Farini & Massimo Gurioli

  2. CNR-Istituto Nazionale di Ottica, Largo Enrico Fermi 6, 50125, Florence, Italy

    Alessandro Farini

Authors
  1. Federico Tommasi
    View author publications

    Search author on:PubMed Google Scholar

  2. Francesca Cosseddu
    View author publications

    Search author on:PubMed Google Scholar

  3. Alessio Giorgetti
    View author publications

    Search author on:PubMed Google Scholar

  4. Paolo Antonino Grasso
    View author publications

    Search author on:PubMed Google Scholar

  5. Alessandro Farini
    View author publications

    Search author on:PubMed Google Scholar

  6. Massimo Gurioli
    View author publications

    Search author on:PubMed Google Scholar

Contributions

A.F. and M.G conceived the idea, F.T and A.G. created the hybrid images,A.G. e F.C. and collected the data, F.T., P.G. and A.F. analysed the results. All authors reviewed the manuscript.

Corresponding author

Correspondence to Alessandro Farini.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tommasi, F., Cosseddu, F., Giorgetti, A. et al. Screening test for early detection of myopia based on hybrid images. Sci Rep (2026). https://doi.org/10.1038/s41598-026-39002-8

Download citation

  • Received: 07 January 2025

  • Accepted: 02 February 2026

  • Published: 20 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-39002-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Visual acuity
  • Hybrid images, Screening test, Myopia
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing