A Cell Segmentation/Tracking Tool Based on Machine Learning.
Methods Mol Biol
; 2040: 399-422, 2019.
Article
em En
| MEDLINE
| ID: mdl-31432490
ABSTRACT
The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify (segment) and track cells based on machine learning techniques (Fiji's Trainable Weka Segmentation) and custom, open-source Python scripts. To provide a hands-on experience, we provide datasets obtained using the aforementioned protocol.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
/
Rastreamento de Células
/
Aprendizado de Máquina
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article