Author

Jonathan Lightley

Imperial College LondonORCID 0000-0003-4527-8578Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

P. M. W. FrenchiD· 2 shared Adam G. McleaniD· 1 shared Alana BurrelliD· 1 shared Amy StrangeiD· 1 shared Arturo G. VesgaiD· 1 shared Asandile MangaliiD· 1 shared Azumi YoshimuraiD· 1 shared Ben LoosiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

P. M. W. FrenchORCID

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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

Cell BiologybioRxivPreprintApr 8, 2025

VP-CLEM-Kit: An accessible pipeline for visual proteomics using super resolution volume correlative light and electron microscopy (SR-vCLEM)

Dumisile Lumkwana, Jonathan Lightley, Arturo G. Vesga…·Lucy Collinson

The paper introduces VP-CLEM-Kit, a cost-effective SR-vCLEM pipeline for visual proteomics, achieving 5-fold resolution improvement at 7-fold lower cost.

1 citation

𝕏 PostBluesky