Deep learning-based segmentation of subcellular organelles in high-resolution phase-contrast images

Although quantitative analysis of biological images demands precise extraction of specific organelles or cells, it remains challenging in broad-field grayscale images, where traditional thresholding methods have been hampered due to complex image features. Nevertheless, rapidly growing artificial in...

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Detalles Bibliográficos

Autores principales:	Kentaro Shimasaki, Yuko Okemoto-Nakamura, Kyoko Saito, Masayoshi Fukasawa, Kaoru Katoh, Kentaro Hanada
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Japan Society for Cell Biology 2024-07-01
Colección:	Cell Structure and Function
Materias:	label-free imaging organelle dynamics apodized phase contrast deep learning-based segmentation
Acceso en línea:	https://www.jstage.jst.go.jp/article/csf/49/2/49_24036/_html/-char/en
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