SpineTool is an open-source software for analysis of morphology of dendritic spines
E Pchitskaya, P Vasiliev, D Smirnova, V Chukanov… - Scientific reports, 2023 - nature.com
Dendritic spines form most excitatory synaptic inputs in neurons and these spines are
altered in many neurodevelopmental and neurodegenerative disorders. Reliable methods to …
altered in many neurodevelopmental and neurodegenerative disorders. Reliable methods to …
Dendritic spine classification using shape and appearance features based on two-photon microscopy
Background Neuronal morphology and function are highly coupled. In particular, dendritic
spine morphology is strongly governed by the incoming neuronal activity. The first step …
spine morphology is strongly governed by the incoming neuronal activity. The first step …
Nonparametric joint shape and feature priors for image segmentation
In many image segmentation problems involving limited and low-quality data, employing
statistical prior information about the shapes of the objects to be segmented can significantly …
statistical prior information about the shapes of the objects to be segmented can significantly …
Dendritic spine shape analysis: A clustering perspective
Functional properties of neurons are strongly coupled with their morphology. Changes in
neuronal activity alter morphological characteristics of dendritic spines. First step towards …
neuronal activity alter morphological characteristics of dendritic spines. First step towards …
Dendritic spine shape analysis using disjunctive normal shape models
Analysis of dendritic spines is an essential task to understand the functional behavior of
neurons. Their shape variations are known to be closely linked with neuronal activities …
neurons. Their shape variations are known to be closely linked with neuronal activities …
On comparison of manifold learning techniques for dendritic spine classification
Dendritic spines are one of the key functional components of neurons. Their morphological
changes are correlated with neuronal activity. Neuroscientists study spine shape variations …
changes are correlated with neuronal activity. Neuroscientists study spine shape variations …
Nonparametric joint shape and feature priors for segmentation of dendritic spines
Multimodal shape density estimation is a challenging task in many biomedical image
segmentation problems. Existing techniques in the literature estimate the underlying shape …
segmentation problems. Existing techniques in the literature estimate the underlying shape …
A Meta-Framework for Creating Coordinated and Multiple-View Applications
N Cosmin Toader - 2023 - burjcdigital.urjc.es
The visualization field has been part of the advancement of science throughout history. In
the 1970s, a movement emerged that advocated for graphical representations as one of the …
the 1970s, a movement emerged that advocated for graphical representations as one of the …
Bayesian methods for segmentation of objects from multimodal and complex shape densities using statistical shape priors
E Erdil - 2018 - research.sabanciuniv.edu
In many image segmentation problems involving limited and low-quality data, employing
statistical prior information about the shapes of the objects to be segmented can significantly …
statistical prior information about the shapes of the objects to be segmented can significantly …
Dendritic spine classification based on two-photon microscopic images using sparse representation
Dendritic spines, membranous protrusions of neurons, are one of the few prominent
characteristics of neurons. Their shapes change with variations in neuron activity. Spine …
characteristics of neurons. Their shapes change with variations in neuron activity. Spine …