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

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

Abstract 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 hea...

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Bibliographic Details
Main Authors: Léo Bürgy, Martin Weigert, Georgios Hatzopoulos, Matthias Minder, Adrien Journé, Sahand Jamal Rahi, Pierre Gönczy
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Bioinformatics
Subjects:
Image analysis
Deep learning
Microscopy
Software
Cell biology
Online Access:https://doi.org/10.1186/s12859-023-05214-2

Internet

https://doi.org/10.1186/s12859-023-05214-2

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