Author

Edward A. K. Cohen

Imperial College LondonORCID 0000-0002-8594-9623Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Christopher W. DunsbyiD· 1 shared Edwin Garcia· 1 shared Emma JohnsiD· 1 shared Joe GroveiD· 1 shared Jonathan LightleyiD· 1 shared Leo C. JamesiD· 1 shared Mark A. A. NeiliD· 1 shared Miguel A. BolandiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Christopher W. DunsbyORCID

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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

BioinformaticsbioRxivPreprintJul 23, 2020

Learning to count: determining the stoichiometry of bio-molecular complexes using fluorescence microscopy and statistical modelling

Sophia F. Mersmann, Emma Johns, Tracer Yong…·Joe Grove

This paper introduces a method combining fluorescence microscopy and statistical modeling to accurately determine the stoichiometry of bio-molecular complexes.

1 citation

imagingstatistical model

𝕏 PostBluesky