Author

L. von Chamier

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:fluorescence / live-cell microscopy· 2 Assay:imaging· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

G. Jacquemet· 2 shared R. F. Laine· 2 shared C. Spahn· 1 shared E. Fazeli· 1 shared E. Gomez-de-Mariscal· 1 shared G. Follain· 1 shared J. E. H. Eriksson· 1 shared J.-Y. Tinevez· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

G. Jacquemet

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

DeepBacs: Bacterial image analysis using open-source deep learning approaches

C. Spahn, R. F. Laine, P. M. Pereira, E. Gomez-de-Mariscal, L. von Chamier, M. Conduit, M. G. Pinho, S. Holden, G. Jacquemet, M. Heilemann, R. Henriques

DeepBacs uses open-source deep learning to analyze bacterial microscopy images, offering tools for segmentation, classification, and phenotyping with applications in antibiotic research.

bioRxiv · Nov 3, 2021Microbiology

Automated cell tracking using StarDist and TrackMate

E. Fazeli, N. H. Roy, G. Follain, R. F. Laine, L. von Chamier, P. Hänninen, J. E. H. Eriksson, J.-Y. Tinevez, G. Jacquemet

This paper presents an automated cell tracking pipeline using StarDist and TrackMate for 2D live-cell imaging, applicable to fluorescent and brightfield images without coding knowledge.

bioRxiv · Sep 22, 2020Cell Biology