Author

M. A. A. Neil

The Francis Crick Institute

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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Bioengineering· 3

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:software / tool· 1

Frequent Co-Authors

J. LIGHTLEY· 3 shared P. M. W. FrenchiD· 3 shared S. Kumar· 3 shared C. Dunsby· 2 shared E. Garcia· 2 shared Y. Alexandrov· 2 shared A. Kolbeinsson· 1 shared C. Bakal· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioengineering

J. LIGHTLEY

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Author profile →

3 papers

Recent·Most cited

Quantitative evaluation of LED based optical autofocus module

S. Habte, S. Kumar, J. LIGHTLEY, Edwin García, M. A. A. Neil, P. M. W. French

The paper evaluates an LED-based optical autofocus module using 2D autocorrelation analysis and demonstrates its axial stability over time.

Journal of Microscopy · Jul 29, 2026Peer-reviewedBioengineering

Robust, single-shot, optical autofocus system utilizing cylindrical lenses to provide high precision and long range of operation

J. Lightley, S. Kumar, E. Garcia, Y. Alexandrov, C. Dunsby, M. A. A. Neil, P. M. W. French

This paper introduces an optical autofocus system with high precision and long range for microscopy, demonstrating its use in multiwell plate imaging and single molecule localization microscopy.

bioRxiv · Jul 14, 2022 · PreprintBioengineering

Robust optical autofocus system utilizing neural networks trained for extended range and time-course and automated multiwell plate imaging including single molecule localization microscopy

J. Lightley, F. Görlitz, S. Kumar, R. Kalita, A. Kolbeinsson, E. Garcia, Y. Alexandrov, V. Bousgouni, R. Wysoczanski, P. Barnes, L. Donnelly, C. Bakal, C. Dunsby, M. A. A. Neil, S. Flaxman, P. M. W. French

The paper develops a neural network-based autofocus system for microscopy, improving accuracy and range for long-term and multiwell plate imaging.

bioRxiv · Mar 5, 2021Bioengineering