Author

James Wilsenach

The Alan Turing InstituteORCID 0000-0001-8214-9009Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:flow cytometry· 1

Frequent Co-Authors

Arna GhoshiD· 1 shared Blake A. RichardsiD· 1 shared Catherine E. WarnabyiD· 1 shared Charlotte Mary DeaneiD· 1 shared Dongyan LiniD· 1 shared Edyta E. WojtowicziD· 1 shared Erica CianfaranoiD· 1 shared Gesine ReinertiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperNeuroscience

Arna GhoshORCID

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3 papers

Recent·Most cited

Cell BiologybioRxivPreprintMay 23, 2026

FlowFI: an interactive graphical software package for bespoke design of imaging parameters in flow cytometry to explore morphological diversity in bone marrow megakaryocytes

James Wilsenach, Sónia Fonseca, Sebastian E. Ahnert, Edyta E. Wojtowicz

FlowFI is an open-source software tool for designing and refining imaging parameters in flow cytometry to improve the analysis of rare cell populations like bone marrow megakaryocytes.

DOI 10.64898/2026.05.19.725920

humanflow cytometry

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NeuroscienceNetwork NeurosciencePeer-reviewedJan 1, 2025

Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity

James Wilsenach, Charlotte Mary Deane, Gesine Reinert, Catherine E. Warnaby

This study uses fMRI data to analyze brain state dynamics during deep anaesthesia, finding that anaesthesia is dominated by low-complexity attractor states that differ from wakefulness.

3 citations

humanimaging

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NeurosciencebioRxivPreprintNov 3, 2023

The feature landscape of visual cortex

Rudi Tong, Ronan V. da Silva, Dongyan Lin…·Stuart Trenholm

The paper identifies visual feature preferences of neurons in mouse visual cortical areas using generative AI and closed-loop recordings, revealing how these preferences are organized to encode own-stimuli more effectively.

12 citations

mouseelectronic health records

𝕏 PostBluesky