A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization.

Sankaran, Divya Ganapathi; Stemm-Wolf, Alexander J; McCurdy, Bailey L; Hariharan, Bharath; Pearson, Chad G

Sankaran, Divya Ganapathi; Stemm-Wolf, Alexander J; McCurdy, Bailey L; Hariharan, Bharath; Pearson, Chad G.

Afiliação

Sankaran DG; Department of Cell and Developmental Biology, University of Colorado School of Medicine, 2801 East 17th Avenue, Aurora, CO 80045-2537, USA.
Stemm-Wolf AJ; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
McCurdy BL; Department of Cell and Developmental Biology, University of Colorado School of Medicine, 2801 East 17th Avenue, Aurora, CO 80045-2537, USA.
Hariharan B; Department of Cell and Developmental Biology, University of Colorado School of Medicine, 2801 East 17th Avenue, Aurora, CO 80045-2537, USA.
Pearson CG; Department of Computer Science, Cornell University, Ithaca, NY 14853, USA bharath.hariharan@cornell.edu Chad.Pearson@cuanschutz.edu.

J Cell Sci ; 133(14)2020 07 30.

Article em En | MEDLINE | ID: mdl-32591487

Assuntos

Centríolos; Centrossomo; Segregação de Cromossomos; Aprendizado de Máquina; Microtúbulos

Palavras-chave

Centrosome amplification; Centrosomes; EB3; Image processing; Machine learning; Microtubules

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Centríolos / Centrossomo Idioma: En Revista: J Cell Sci Ano de publicação: 2020 Tipo de documento: Article

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