ArticleNeuroinformatics2010
Automatic robust neurite detection and morphological analysis of neuronal cell cultures in high-content screening.
Article in Neuroinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 52 citations in OpenAlex.
- AGC kinase homology requires and enables co-targeting for CNS regeneration.bioRxiv : the preprint server for biology · 2026Article
- Quantitative Analysis of Axonal Degeneration and TDP-43 Aggregation in Compartmentalized Human iPSC-Derived Motor Neuron-Myotube Co-cultures.Bio-protocol · 2026Article
- From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation.Communications biology · 2024Review
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- The Roles of an Aluminum Underlayer in the Biocompatibility and Mechanical Integrity of Vertically Aligned Carbon Nanotubes for Interfacing with Retinal Neurons.Micromachines · 2020Article
- Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.Neuroinformatics · 2019Article
- In vitro models of axon regeneration.Experimental neurology · 2017Review
- Actin Waves Do Not Boost Neurite Outgrowth in the Early Stages of Neuron Maturation.Frontiers in cellular neuroscience · 2017Article
- Automatic Dendritic Length Quantification for High Throughput Screening of Mature Neurons.Neuroinformatics · 2015Article
- iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls.Trends in molecular medicine · 2014Review
- Chemical interrogation of the neuronal kinome using a primary cell-based screening assay.ACS chemical biology · 2013Article
- Neurient: an algorithm for automatic tracing of confluent neuronal images to determine alignment.Journal of neuroscience methods · 2013Article
- HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening.BMC bioinformatics · 2013Article
- Label-free detection of neuronal differentiation in cell populations using high-throughput live-cell imaging of PC12 cells.PloS one · 2013Article
- A mutual information approach to automate identification of neuronal clusters in Drosophila brain images.Frontiers in neuroinformatics · 2012Article
- NeuriteQuant: an open source toolkit for high content screens of neuronal morphogenesis.BMC neuroscience · 2011Article
- Automated reconstruction of neuronal morphology: an overview.Brain research reviews · 2011Review
- High-content chemical and RNAi screens for suppressors of neurotoxicity in a Huntington's disease model.PloS one · 2011Article
- Oligodendrocyte development and myelinogenesis are not impaired by high concentrations of phenylalanine or its metabolites.Journal of inherited metabolic disease · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Cell-based high content screening (HCS) is becoming an important and increasingly favored approach in therapeutic drug discovery and functional genomics. In HCS, changes in cellular morphology and biomarker distributions provide an information-rich profile of cellular responses to experimental treatments such as small molecules or gene knockdown probes. One obstacle that currently exists with such cell-based assays is the availability of image processing algorithms that are capable of reliably and automatically analyzing large HCS image sets. HCS images of primary neuronal cell cultures are particularly challenging to analyze due to complex cellular morphology. Here we present a robust method for quantifying and statistically analyzing the morphology of neuronal cells in HCS images. The major advantages of our method over existing software lie in its capability to correct non-uniform illumination using the contrast-limited adaptive histogram equalization method; segment neuromeres using Gabor-wavelet texture analysis; and detect faint neurites by a novel phase-based neurite extraction algorithm that is invariant to changes in illumination and contrast and can accurately localize neurites. Our method was successfully applied to analyze a large HCS image set generated in a morphology screen for polyglutamine-mediated neuronal toxicity using primary neuronal cell cultures derived from embryos of a Drosophila Huntington's Disease (HD) model.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.