Cargando…
Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images
BACKGROUND: Aging is characterized by a gradual breakdown of cellular structures. Nuclear abnormality is a hallmark of progeria in human. Analysis of age-dependent nuclear morphological changes in Caenorhabditis elegans is of great value to aging research, and this calls for an automatic image proce...
Autores principales: | Zhao, Mengdi, An, Jie, Li, Haiwen, Zhang, Jiazhi, Li, Shang-Tong, Li, Xue-Mei, Dong, Meng-Qiu, Mao, Heng, Tao, Louis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602880/ https://www.ncbi.nlm.nih.gov/pubmed/28915791 http://dx.doi.org/10.1186/s12859-017-1817-3 |
Ejemplares similares
-
An Integrative Segmentation Framework for Cell Nucleus of Fluorescence Microscopy
por: Pan, Weihao, et al.
Publicado: (2022) -
Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images
por: Caicedo, Juan C., et al.
Publicado: (2019) -
Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells
por: Wählby, Carolina, et al.
Publicado: (2002) -
Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning
por: Li, Jieming, et al.
Publicado: (2020) -
Leukocyte nucleus segmentation and nucleus lobe counting
por: Chan, Yung-Kuan, et al.
Publicado: (2010)