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Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.

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Title: Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.
Authors: Howe CL; Department of Bioengineering, Imperial College London, Royal School of Mines, London SW7 2AZ, United Kingdom., Zhao KLY; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom., Verinaz-Jadan H; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.; Faculty of Electrical and Computer Engineering, Escuela Superior Politécnica del Litoral, Guayaquil 090902, Ecuador., Song P; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.; Department of Engineering, Information Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom., Barnes SJ; Department of Brain Sciences, Division of Neuroscience, United Kingdom Dementia Research Institute, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, United Kingdom., Dragotti PL; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom., Foust AJ; Department of Bioengineering, Imperial College London, Royal School of Mines, London SW7 2AZ, United Kingdom.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2025 Dec 02; Vol. 122 (48), pp. e2510337122. Date of Electronic Publication: 2025 Nov 25.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
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  Data: Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.
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  Data: <searchLink fieldCode="AU" term="%22Howe+CL%22">Howe CL</searchLink>; Department of Bioengineering, Imperial College London, Royal School of Mines, London SW7 2AZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Zhao+KLY%22">Zhao KLY</searchLink>; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Verinaz-Jadan+H%22">Verinaz-Jadan H</searchLink>; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.; Faculty of Electrical and Computer Engineering, Escuela Superior Politécnica del Litoral, Guayaquil 090902, Ecuador.<br /><searchLink fieldCode="AU" term="%22Song+P%22">Song P</searchLink>; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.; Department of Engineering, Information Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Barnes+SJ%22">Barnes SJ</searchLink>; Department of Brain Sciences, Division of Neuroscience, United Kingdom Dementia Research Institute, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Dragotti+PL%22">Dragotti PL</searchLink>; Department of Electrical and Electronic Engineering, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Foust+AJ%22">Foust AJ</searchLink>; Department of Bioengineering, Imperial College London, Royal School of Mines, London SW7 2AZ, United Kingdom.
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              Text: 2025 Dec 02
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