A rapid workflow for neuron counting in combined light sheet microscopy and magnetic resonance histology

Y Tian, GA Johnson, RW Williams… - Frontiers in Neuroscience, 2023 - frontiersin.org
Information on regional variation in cell numbers and densities in the CNS provides critical
insight into structure, function, and the progression of CNS diseases. However, variability …

A Rapid and Sensitive Automated Image‐Based Approach for In Vitro and In Vivo Characterization of Cell Morphology and Quantification of Cell Number and Neurite …

V Tapias, JT Greenamyre - Current Protocols in Cytometry, 2014 - Wiley Online Library
Stereological methods for tissue cell counting, specifically for neuron quantification,
decrease systematic error and sampling bias; however, they are tedious, labor intensive …

A multimodal imaging and analysis pipeline for creating a cellular census of the human cerebral cortex

I Costantini, L Morgan, J Yang, Y Balbastre… - bioRxiv, 2021 - biorxiv.org
Cells are not uniformly distributed in the human cerebral cortex. Rather, they are arranged in
a regional and laminar fashion that span a range of scales. Here we demonstrate an …

[HTML][HTML] Evaluating cellularity and structural connectivity on whole brain slides using a custom-made digital pathology pipeline

T Roetzer, K Leskovar, N Peter, J Furtner… - Journal of Neuroscience …, 2019 - Elsevier
Aims In brain research, the histopathological examination of coronar whole-brain slides
provides important insights into spatial disease characteristics. Regarding brain tumor …

Quantification of neuronal density across cortical depth using automated 3D analysis of confocal image stacks

JG Kelly, MJ Hawken - Brain Structure and Function, 2017 - Springer
A new framework for measuring densities of immunolabeled neurons across cortical layers
was implemented that combines a confocal microscopy sampling strategy with automated …

[HTML][HTML] Quantifying how staining methods bias measurements of neuron morphologies

R Farhoodi, BJ Lansdell, KP Kording - Frontiers in neuroinformatics, 2019 - frontiersin.org
The process through which neurons are labeled is a key methodological choice in
measuring neuron morphology. However little is known about how this choice may bias …

NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks

M Abdellah, J Hernando, S Eilemann, S Lapere… - …, 2018 - academic.oup.com
Motivation From image stacks to computational models, processing digital representations of
neuronal morphologies is essential to neuroscientific research. Workflows involve various …

Multiplexed and scalable cellular phenotyping toward the standardized three-dimensional human neuroanatomy

TC Murakami, N Heintz - bioRxiv, 2022 - biorxiv.org
The advent of three-dimensional histological methods has advanced studies of cellular-
resolution anatomy of the brain. The use of whole-mount staining and tissue clearing has …

Petabyte-scale multi-morphometry of single neurons for whole brains

S Jiang, Y Wang, L Liu, L Ding, Z Ruan, HW Dong… - Neuroinformatics, 2022 - Springer
Recent advances in brain imaging allow producing large amounts of 3-D volumetric data
from which morphometry data is reconstructed and measured. Fine detailed structural …

ANMAF: an automated neuronal morphology analysis framework using convolutional neural networks

L Tong, R Langton, J Glykys, S Baek - Scientific reports, 2021 - nature.com
Measurement of neuronal size is challenging due to their complex histology. Current
practice includes manual or pseudo-manual measurement of somatic areas, which is labor …