Author

Pia Larsson

Monash UniversityORCID 0000-0001-9115-4213Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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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 Niklas BoknäsiD· 1 shared Volga TarlaciD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Abigail S McGovernORCID

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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

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