Author

Alban Cenameri

Institute of Science and Technology Austria

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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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Christoph SommeriD· 3 shared Gaia NovarinoiD· 3 shared Johann Georg DanzliD· 3 shared Julia LyudchikiD· 3 shared Jake F. WatsoniD· 2 shared Julia M. MichalskaiD· 2 shared Péter JónásiD· 2 shared Philipp VelickyiD· 2 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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3 shared papersNeuroscience

Christoph SommerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Light-microscopy based dense connectomic reconstruction of mammalian brain tissue

Mojtaba R. Tavakoli, Julia Lyudchik, Michał Januszewski, Vitali Vistunou, Nathalie Agudelo Dueñas, Jakob Vorlaufer, Christoph Sommer, Caroline Kreuzinger, Bárbara Oliveira, Alban Cenameri, Gaia Novarino, Viren Jain, Johann Georg Danzl

This paper develops LICONN, a light-microscopy based method for synapse-level connectomic reconstruction of brain tissue using hydrogel expansion and deep learning.

Nature · May 7, 2025Peer-reviewedNeuroscience

Saturated reconstruction of living brain tissue

Philipp Velicky, Eder Miguel, Julia M. Michalska, Julia Lyudchik, Donglai Wei, Zudi Lin, Jake F. Watson, Jakob Troidl, Johanna Beyer, Yoav Ben‐Simon, Christoph Sommer, Wiebke Jahr, Alban Cenameri, Johannes Broichhagen, Seth G. N. Grant, , Johann Georg Danzl

This paper introduces a method for saturated reconstruction of living brain tissue using advanced imaging and deep learning to achieve high-resolution, volumetric analysis of neural structures over time.

Nature Methods · Jul 10, 2023Peer-reviewedNeuroscience

Uncovering brain tissue architecture across scales with super-resolution light microscopy

Julia M. Michalska, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake F. Watson, Alban Cenameri, Christoph Sommer, Alessandro Venturino, Karl Rössler, Thomas Czech, Sandra Siegert, Gaia Novarino, Péter Jónás, Johann Georg Danzl

The paper introduces CATS, a method to map brain tissue architecture across scales, demonstrating its application to hippocampal mossy fiber circuitry.

bioRxiv · Aug 17, 2022 · PreprintNeuroscience