Author

S. Flaxman

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· 1 Ecology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Kolbeinsson· 1 shared C. Bakal· 1 shared C. Dunsby· 1 shared D. Coomes· 1 shared E. Garcia· 1 shared F. Görlitz· 1 shared J. G. C. Ball· 1 shared J. Lightley· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

A. Kolbeinsson

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2 papers

Recent·Most cited

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

J. G. C. Ball, K. Petrova, D. Coomes, S. Flaxman

This paper uses deep convolutional neural networks to predict future deforestation in the Amazon by analyzing satellite imagery and historical data.

bioRxiv · Dec 14, 2021Ecology

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