Author

J. S. Dikou

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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Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

F. Siegerist· 2 shared N. Endlich· 2 shared A. Buescher· 1 shared C. Chatziantoniou· 1 shared C. E. Chadjichristos· 1 shared E. Hay· 1 shared J. H. Braesen· 1 shared J. Oh· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersCell Biology

F. Siegerist

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2 papers

Recent·Most cited

A super-resolution compatible workflow for highly multiplexed immunofluorescence of routinely processed kidney tissue

F. Siegerist, S. Kitzel, N. Telli, J. S. Dikou, V. Drenic, C. E. Chadjichristos, C. Chatziantoniou, N. Endlich

This paper introduces a workflow for highly multiplexed immunofluorescence compatible with super-resolution microscopy, validated using a mouse model and human dataset.

bioRxiv · Dec 11, 2023 · PreprintCell Biology

scoMorphoFISH: A Deep-Learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry

F. Siegerist, E. Hay, J. S. Dikou, A. Buescher, J. Oh, S. Ribback, U. Zimmermann, J. H. Braesen, O. Lenoir, K. Endlich, P.-L. Tharaux, N. Endlich

scoMorphoFISH provides a deep-learning tool for spatial single-cell mRNA quantification and morphometry in kidney biopsies, enabling single-mRNA resolution analysis.

Journal of Cellular and Molecular Medicine · Jun 1, 2022Peer-reviewedPathology