Author

Mark A. A. Neil

Imperial College LondonORCID 0000-0002-7720-8868Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Amanda J. FoustiD· 1 shared Carmel L. HoweiD· 1 shared Chenchen SongiD· 1 shared Christopher W. DunsbyiD· 1 shared Edward A. K. CoheniD· 1 shared Edwin Garcia· 1 shared Herman Verinaz-JadaniD· 1 shared Jonathan LightleyiD· 1 shared

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2020-2025 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Amanda J. FoustORCID

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2 papers

Recent·Most cited

BiophysicsJournal of MicroscopyPeer-reviewedMay 8, 2025

Model-free machine learning-based 3D single molecule localisation microscopy

Miguel A. Boland, Jonathan Lightley, Edwin Garcia…·Edward A. K. Cohen

This paper introduces a machine learning-based 3D SMLM method called easyZloc that works with standard microscopes and reduces computational demands.

2 citations

fluorescence / live-cell microscopydeep learning

𝕏 PostBluesky

NeuroscienceNeurophotonicsPeer-reviewedAug 28, 2020

Subcellular resolution 3D light field imaging with genetically encoded voltage indicators

Peter Quicke, Carmel L. Howe, Pingfan Song…·Amanda J. Foust

This study demonstrates sub-cellular resolution 3D light field imaging of voltage signals in acute mouse brain slices using genetically encoded voltage indicators.

35 citations

𝕏 PostBluesky