Author

Kokila Wickramanayake

University of Plymouth

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

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Cell Biology· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:trajectory inference· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Christophe LeterrieriD· 1 shared Daniel Stedman· 1 shared Edward RosteniD· 1 shared Gail McConnelliD· 1 shared George R. LittlejohniD· 1 shared Katherine J. BaxteriD· 1 shared Lee-Ya ChuiD· 1 shared Mark BatesiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

Christophe LeterrierORCID

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1 paper

Recent·Most cited

Extracting biological structure and heterogeneity from the nano to the macro scale

Edward Rosten, Daniel Stedman, Lee-Ya Chu, Kokila Wickramanayake, George R. Littlejohn, Katherine J. Baxter, Gail McConnell, Siân Culley, Quee-Lim Ch'ng, Christophe Leterrier, Mark Bates, Maxim I. Molodtsov, Susan Cox

This paper introduces SQUASSH, a convolutional neural network that fits structural models to fluorescence microscopy data to quantify variability across biological scales.

bioRxiv · Aug 6, 2025 · PreprintCell Biology