Supplemental material
Open access
417
Views
0
CrossRef citations to date
0
Altmetric
Technical report
Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation in vivo and ex vivo
Abigail S. McGovern1 Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Australiahttps://orcid.org/0000-0002-9641-2768View further author information
, Pia Larsson2 Australian Centre for Blood Diseases, Monash University, Melbourne, Australiahttps://orcid.org/0000-0001-9115-4213View further author information
, Volga Tarlac2 Australian Centre for Blood Diseases, Monash University, Melbourne, Australiahttps://orcid.org/0000-0001-5566-075XView further author information
, Natasha Setiabakti2 Australian Centre for Blood Diseases, Monash University, Melbourne, Australiahttps://orcid.org/0000-0003-2017-561XView further author information
, Leila Shabani Mashcool3 Department of Biomedical and Clinical Sciences, Linköping University, Linköping, SwedenView further author information
, Justin R. Hamilton2 Australian Centre for Blood Diseases, Monash University, Melbourne, Australiahttps://orcid.org/0000-0001-7554-6727View further author information
, Niklas Boknäs2 Australian Centre for Blood Diseases, Monash University, Melbourne, Australia;3 Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Swedenhttps://orcid.org/0000-0002-1442-2525View further author information
& Juan Nunez-Iglesias1 Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash University, Melbourne, AustraliaCorrespondence[email protected]
https://orcid.org/0000-0002-7239-5828View further author information
show allhttps://orcid.org/0000-0002-7239-5828View further author information
Article: 2344512
|
Received 12 Oct 2023, Accepted 30 Mar 2024, Published online: 09 May 2024
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.