Author

Krzysztof Gonciarz

Center for Systems Biology DresdenORCID 0000-0001-9054-8341Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Ivo F. SbalzariniiD· 2 shared Alessandro Rigano· 1 shared Bevan L. CheesemaniD· 1 shared Caterina Strambio‐De‐CastilliaiD· 1 shared Mateusz SusikiD· 1 shared Ulrik GüntheriD· 1 shared Vanni Galli· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 12 mutual co-author links

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2 shared papersBioinformatics

Ivo F. SbalzariniORCID

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2 papers

Recent·Most cited

Forget Pixels: Adaptive Particle Representation of Fluorescence Microscopy Images

Bevan L. Cheeseman, Ulrik Günther, Krzysztof Gonciarz, Mateusz Susik, Ivo F. Sbalzarini

This paper introduces an adaptive particle representation for fluorescence microscopy images to overcome storage and processing bottlenecks by replacing pixels with content-aware particles.

Nature Communications · Nov 28, 2018Peer-reviewedBioinformatics

An algorithm-centric Monte Carlo method to empiricallyquantify motion type estimation uncertainty in single-particle tracking

Alessandro Rigano, Vanni Galli, Krzysztof Gonciarz, Ivo F. Sbalzarini, Caterina Strambio‐De‐Castillia

The paper introduces a Monte Carlo method to quantify uncertainty in motion type estimation for single-particle tracking, addressing error propagation in bioimage analysis.

bioRxiv · Aug 8, 2018 · PreprintBioinformatics