Kemppainen, J., Scales, B., Razban Haghighi, K. et al. (20 more authors) (2022) Binocular mirror–symmetric microsaccadic sampling enables Drosophila hyperacute 3D vision. Proceedings of the National Academy of Sciences, 119 (12). e2109717119. ISSN 0027-8424
Abstract
Neural mechanisms behind stereopsis, which requires simultaneous disparity inputs from two eyes, have remained mysterious. Here we show how ultrafast mirror-symmetric photomechanical contractions in the frontal forward-facing left and right eye photoreceptors give Drosophila superresolution three-dimensional (3D) vision. By interlinking multiscale in vivo assays with multiscale simulations, we reveal how these photoreceptor microsaccades—by verging, diverging, and narrowing the eyes’ overlapping receptive fields—channel depth information, as phasic binocular image motion disparity signals in time. We further show how peripherally, outside stereopsis, microsaccadic sampling tracks a flying fly’s optic flow field to better resolve the world in motion. These results change our understanding of how insect compound eyes work and suggest a general dynamic stereo-information sampling strategy for animals, robots, and sensors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | compound eyes; stereovision; active sampling; adaptive optics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/P006094/1 Biotechnology and Biological Sciences Research Council BB/M009564/1 Leverhulme Trust RPG-2012-567 Jand & Aatos Erkko Foundation n/a |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Mar 2022 08:36 |
Last Modified: | 23 Mar 2022 08:36 |
Status: | Published |
Publisher: | National Academy of Sciences |
Refereed: | Yes |
Identification Number: | 10.1073/pnas.2109717119 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184979 |