Cargando…
A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue
While astrocytes have been traditionally described as passive supportive cells, studies during the last decade have shown they are active players in many aspects of CNS physiology and function both in normal and disease states. However, the precise mechanisms regulating astrocytes function and inter...
Autores principales: | Kayasandik, Cihan Bilge, Ru, Wenjuan, Labate, Demetrio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083864/ https://www.ncbi.nlm.nih.gov/pubmed/32198485 http://dx.doi.org/10.1038/s41598-020-61953-9 |
Ejemplares similares
-
Automated detection of GFAP-labeled astrocytes in micrographs using YOLOv5
por: Huang, Yewen, et al.
Publicado: (2022) -
Advances in quantitative analysis of astrocytes using machine learning
por: Labate, Demetrio, et al.
Publicado: (2022) -
Automated sorting of neuronal trees in fluorescent images of neuronal networks using NeuroTreeTracer
por: Kayasandik, Cihan, et al.
Publicado: (2018) -
Predicting the Effects of Repetitive Transcranial Magnetic Stimulation on Cognitive Functions in Patients With Alzheimer's Disease by Automated EEG Analysis
por: Kayasandik, Cihan Bilge, et al.
Publicado: (2022) -
Inhibition of AKT Signaling Alters βIV Spectrin Distribution at the AIS and Increases Neuronal Excitability
por: Di Re, Jessica, et al.
Publicado: (2021)