CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets

BACKGROUND: High-throughput and selective detection of organelles in immunofluorescence images is an important but demanding task in cell biology. The centriole organelle is critical for fundamental cellular processes, and its accurate detection is key for analysing centriole function in health and...

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Detalles Bibliográficos
Autores principales: Bürgy, Léo, Weigert, Martin, Hatzopoulos, Georgios, Minder, Matthias, Journé, Adrien, Rahi, Sahand Jamal, Gönczy, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045196/
https://www.ncbi.nlm.nih.gov/pubmed/36977999
http://dx.doi.org/10.1186/s12859-023-05214-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045196/
https://www.ncbi.nlm.nih.gov/pubmed/36977999
http://dx.doi.org/10.1186/s12859-023-05214-2

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