ArticleJournal of neuroscience methods2020
Automated high content image analysis of dendritic arborization in primary mouse hippocampal and rat cortical neurons in culture.
Article in Journal of neuroscience methods, 2020. 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, 12 citations in OpenAlex.
- Atypical p38 Kinase Signaling in Retinal Vascular Damage and Recovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Neuronal branching in stem cell models of mitochondrial and neurological diseases.Stem cells (Dayton, Ohio) · 2025Review
- Quantifying Dendritic Arbors In Vitro and In Vivo in Rodent Models.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Article
- The Parkinson-Associated Toxin Paraquat Shifts Physiological α-Synuclein Tetramers toward Monomers That Can Be Calpain-Truncated and Form Oligomers.The American journal of pathology · 2023Article
- Oxidized linoleic acid metabolites regulate neuronal morphogenesis in vitro.Neurochemistry international · 2023Article
- Vesicular Glutamate Release from Feeder-FreehiPSC-Derived Neurons.International journal of molecular sciences · 2022Article
- NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth.Journal of neuroscience methods · 2021Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPrimary neuronal cell cultures are useful for studying mechanisms that influence dendritic morphology during normal development and in response to various stressors. However, analyzing dendritic morphology is challenging, particularly in cultures with high cell density, and manual methods of selecting neurons and tracing dendritic arbors can introduce significant bias, and are labor-intensive. To overcome these challenges, semi-automated and automated methods are being developed, with most software solutions requiring computer-assisted dendrite tracing with subsequent quantification of various parameters of dendritic morphology, such as Sholl analysis. However fully automated approaches for classic Sholl analysis of dendritic complexity are not currently available. NEW
methodThe previously described Omnisphero software, was extended by adding new functions to automatically assess dendritic mass, total length of the dendritic arbor and the number of primary dendrites, branch points, and terminal tips, and to perform Sholl analysis.
resultsThe new functions for assessing dendritic morphology were validated using primary mouse hippocampal and rat cortical neurons transfected with a fluorescently tagged MAP2 cDNA construct. These functions allow users to select specific populations of neurons as a training set for subsequent automated selection of labeled neurons in high-density cultures. COMPARISON WITH EXISTING SEMI-AUTOMATED
methodsCompared to manual or semi-automated analyses of dendritic arborization, the new functions increase throughput while significantly decreasing researcher bias associated with neuron selection, tracing, and thresholding.
conclusionThese results demonstrate the importance of using unbiased automated methods to mitigate experimenter-dependent bias in analyzing dendritic morphology.
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