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PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell tracking

;

In
PLOS ONE 20(12), Seiten/Artikel-Nr.:e0337110

ImpressumSan Francisco, California, US : PLOS

Umfang1-9

ISSN1932-6203

Online
DOI: 10.1371/journal.pone.0337110

DOI: 10.18154/RWTH-2026-08559
URL: https://publications.rwth-aachen.de/record/1041350/files/1041350.pdf

Einrichtungen

  1. Lehrstuhl für Thermische Verfahrenstechnik (N.N.) (416310)


Thematische Einordnung (Klassifikation)
DDC: 610

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105024530009
WOS Core Collection: WOS:001641400300038

Interne Identnummern
RWTH-2026-08559
Datensatz-ID: 1041350

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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 Record created 2026-09-14, last modified 2026-09-15
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