Author

Niklas Boknäs

Linköping UniversityORCID 0000-0002-1442-2525Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Abigail S McGoverniD· 1 shared Juan Nunez-IglesiasiD· 1 shared Justin R. HamiltoniD· 1 shared Leila Shabani Mashcool· 1 shared Natasha M. SetiabaktiiD· 1 shared Pia LarssoniD· 1 shared Volga TarlaciD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 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

1 shared paperBioinformatics

Abigail S McGovernORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsPlateletsPeer-reviewedMay 9, 2024

Finding and Following: A deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo

Abigail S McGovern, Pia Larsson, Volga Tarlac…·Juan Nunez-Iglesias

This paper introduces a deep learning-based pipeline for tracking platelets in thrombus formation, showing faster in vivo clotting and less passive platelet movement compared to ex vivo conditions.

6 citations

imagingdeep learning

𝕏 PostBluesky