A systematic evaluation of interneuron morphology representations for cell type discrimination

S Laturnus, D Kobak, P Berens - Neuroinformatics, 2020 - Springer
Quantitative analysis of neuronal morphologies usually begins with choosing a particular
feature representation in order to make individual morphologies amenable to standard …

MORPHIOUS: an unsupervised machine learning workflow to detect the activation of microglia and astrocytes

J Silburt, I Aubert - Journal of Neuroinflammation, 2022 - Springer
Background In conditions of brain injury and degeneration, defining microglial and astrocytic
activation using cellular markers alone remains a challenging task. We developed the …

Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure

Y Lu, L Carin, R Coifman, W Shain, B Roysam - Neuroinformatics, 2015 - Springer
This paper presents a robust unsupervised harmonic co-clustering method for profiling arbor
morphologies for ensembles of reconstructed brain cells (eg, neurons, microglia) based on …

Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python

N Rey-Villamizar, V Somasundar… - Frontiers in …, 2014 - frontiersin.org
In this article, we describe the use of Python for large-scale automated server-based bio-
image analysis in FARSIGHT, a free and open-source toolkit of image analysis methods for …

A systematic evaluation of neural morphology representations for cell type discrimination

S Laturnus, D Kobak, P Berens - Biorxiv, 2019 - biorxiv.org
The anatomy of a neuron has always been a defining feature of its cell type and quantitative
analysis of neuronal morphologies usually begins with choosing a particular feature …

Density visualization pipeline: A tool for cellular and network density visualization and analysis

S Grein, G Qi, G Queisser - Frontiers in computational neuroscience, 2020 - frontiersin.org
Neuron classification is an important component in analyzing network structure and
quantifying the effect of neuron topology on signal processing. Current quantification and …

MORPHIOUS: A Machine Learning Workflow to Naively Detect the Activation of Microglia and Astrocytes

J Silburt, I Aubert - bioRxiv, 2020 - biorxiv.org
In cases of brain injury, degeneration and repair, defining microglia and astrocytic activation
using cellular markers alone remains a challenging task. We developed MORPHIOUS, an …

The Glial Response to Focused Ultrasound-Mediated Permeabilization of the Blood-Brain Barrier: Evaluating the Potential Contribution of Microglia and Astrocytes to …

J Silburt - 2021 - search.proquest.com
Focused ultrasound in the presence of intravenous microbubbles (FUS) facilitates the non-
invasive temporary permeabilization of the blood-brain barrier (BBB) for delivering …

Unsupervised Discovery of Hidden Geometry in High Dimensional Datasets for Neuronal Arbor Analytics

Y Lu - 2016 - uh-ir.tdl.org
Brain cells such as microglial, neurons, and astrocytes, undergo varieties of morphological
and functional changes during their life cycle, or responding to micro environmental …