Author

L. Kuett

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 3 Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Research Focus:cell-cell communication· 1

Frequent Co-Authors

B. Bodenmiller· 3 shared A. Dariush· 2 shared C. M. Mulvey· 2 shared CRUK IMAXT Grand Challenge Team· 2 shared D. Bressan· 2 shared F. Qosaj· 2 shared G. J. Hannon· 2 shared I. Falciatori· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersCancer Biology

B. Bodenmiller

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Exploration and analysis of molecularly annotated, 3D models of breast cancer at single-cell resolution using virtual reality

D. Bressan, C. M. Mulvey, F. Qosaj, R. Becker, F. Grimaldi, S. Coffey, S. L. Vogl, L. Kuett, R. Catena, A. Dariush, C. Gonzalez Fernandez, E. A. Gonzalez Solares, M. Al Sa'd, A. Küpkü Yoldas, T. Whitmarsh, , G. J. Hannon

The paper introduces Theia, a virtual reality platform for exploring 3D molecularly annotated cancer datasets, and provides breast cancer datasets for analysis.

bioRxiv · Jun 28, 2021 · PreprintCancer Biology

The Imaging and Molecular Annotation of Xenografts and Tumours (IMAXT) High Throughput Data and Analysis Infrastructure

E. A. Gonzalez-Solares, A. Dariush, C. Gonzalez-Fernandez, A. Küpcü Yoldas, M. Al Sa'd, N. Millar, T. Whitmarsh, N. Chornay, I. Falciatori, A. Fatemi, D. Goodwin, L. Kuett, C. M. Mulvey, M. Paez Ribes, F. Qosaj, , N. A. Walton

The paper presents an infrastructure for high-throughput data and analysis of tumour and xenograft samples using multimodal imaging and molecular annotation.

bioRxiv · Jun 22, 2021Cancer Biology

Highly multiplexed molecular and cellular mapping of breast cancer tissue in three dimensions using mass tomography.

R. Catena, A. Oezcan, L. Kuett, A. Pluess, P. Schraml, H. Moch, I. Consortium, B. Bodenmiller

This study introduces mass tomography to enable 3D analysis of breast cancer tissue using imaging mass cytometry, revealing spatial heterogeneity and micro-invasion dynamics.

bioRxiv · May 24, 2020 · PreprintCell Biology