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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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主要な著者: Léo Bürgy, Martin Weigert, Georgios Hatzopoulos, Matthias Minder, Adrien Journé, Sahand Jamal Rahi, Pierre Gönczy
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2023-03-01
シリーズ:BMC Bioinformatics
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オンライン・アクセス:https://doi.org/10.1186/s12859-023-05214-2
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