Author

Megan Westerell

University of Leeds

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Daniel E. RollinsiD· 1 shared George R. HeathiD· 1 shared Maya Tekchandani· 1 shared Peter G. AdamsiD· 1 shared Stephen D. EvansiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBiophysics

Daniel E. RollinsORCID

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1 paper

Recent·Most cited

afMLevel: Deep learning U-Net Models for Levelling Atomic Force Microscopy Images and Movies

Maya Tekchandani, Daniel E. Rollins, Megan Westerell, Stephen D. Evans, Peter G. Adams, George R. Heath

This paper introduces two U-Net models for automatically levelling AFM images and movies, outperforming classical methods and reducing manual intervention.

bioRxiv · Oct 21, 2026 · PreprintBiophysics