ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2016
NeuronCyto II: An automatic and quantitative solution for crossover neural cells in high throughput screening.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- High-Resolution Single-Neuron Reconstruction Analysis in Golgi-Stained Brain Tissues.Cell proliferation · 2026Article
- A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons.Frontiers in neuroinformatics · 2025Article
- Ezh2 Delays Activation of Differentiation Genes During Normal Cerebellar Granule Neuron Development and in Medulloblastoma.bioRxiv : the preprint server for biology · 2024Article
- From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation.Communications biology · 2024Review
- Bile Acids Induce Neurite Outgrowth in Nsc-34 Cells via TGR5 and a Distinct Transcriptional Profile.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Practical guide for preparation, computational reconstruction and analysis of 3D human neuronal networks in control and ischaemic conditions.Development (Cambridge, England) · 2022Article
- NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy.Patterns (New York, N.Y.) · 2021Article
- Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method.Neuroinformatics · 2020Article
- HyphaTracker: An ImageJ toolbox for time-resolved analysis of spore germination in filamentous fungi.Scientific reports · 2018Article
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5 authors.
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Abstract
Microscopy is a fundamental technology driving new biological discoveries. Today microscopy allows a large number of images to be acquired using, for example, High Throughput Screening (HTS) and 4D imaging. It is essential to be able to interrogate these images and extract quantitative information in an automated fashion. In the context of neurobiology, it is important to automatically quantify the morphology of neurons in terms of neurite number, length, branching and complexity, etc. One major issue in quantification of neuronal morphology is the "crossover" problem where neurites cross and it is difficult to assign which neurite belongs to which cell body. In the present study, we provide a solution to the "crossover" problem, the software package NeuronCyto II. NeuronCyto II is an interactive and user-friendly software package for automatic neurite quantification. It has a well-designed graphical user interface (GUI) with only a few free parameters allowing users to optimize the software by themselves and extract relevant quantitative information routinely. Users are able to interact with the images and the numerical features through the Result Inspector. The processing of neurites without crossover was presented in our previous work. Our solution for the "crossover" problem is developed based on our recently published work with directed graph theory. Both methods are implemented in NeuronCyto II. The results show that our solution is able to significantly improve the reliability and accuracy of the neurons displaying "crossover." NeuronCyto II is freely available at the website: https://sites.google.com/site/neuroncyto/, which includes user support and where software upgrades will also be placed in the future. © 2016 The Authors. Cytometry Part A Published by Wiley Periodicals, Inc. on behalf of ISAC.
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