Author

Feyza Nur Arslan

École Polytechnique Fédérale de LausanneORCID 0000-0001-5809-9566Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

Andrew C. OatesiD· 2 shared Ana Marija JakšićiD· 1 shared Can AztekiniD· 1 shared Darren T. GilmouriD· 1 shared Ece Naz BilgiciD· 1 shared Fani DerveniiD· 1 shared Fides Lea ZenkiD· 1 shared Florian Curvaia· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Andrew C. OatesORCID

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2 papers

Recent·Most cited

Shield-4i: A Whole-mount Multiplexed Imaging Platform for Studying Multiscale Information Flow in 3D Multicellular Systems

Ruth Hornbachner, Shayan Shamipour, Feyza Nur Arslan, Rui Fan, Max Hess (17838936), Florian Curvaia, Joel Lüthi, Andrew C. Oates, Ivan Bedzhov, Darren T. Gilmour, Virginie Uhlmann, Lucas Pelkmans

Shield-4i enables high-throughput, subcellular-resolution imaging of whole-mount structures to study multiscale information flow in multicellular systems.

bioRxiv · Jul 2, 2026 · PreprintSystems Biology

TopoTome: Topology-informed unsupervised segmentation and analysis of 3D images

Samuel Sagar Bourgeat, Fani Derveni, Victoire Gamblin, Ece Naz Bilgic, Feyza Nur Arslan, Andrew C. Oates, Can Aztekin, Fides Lea Zenk, Pedro M. Reis, Ana Marija Jakšić

TopoTome is an unsupervised 3D image segmentation algorithm that outperforms existing methods by using topological data analysis to detect and segment structural features in biological images.

bioRxiv · Sep 26, 2025 · PreprintBioinformatics