ArticleFrontiers in neuroinformatics2013
NEuronMOrphological analysis tool: open-source software for quantitative morphometrics.
Article in Frontiers in neuroinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed.
- From pixels to connections: exploring in vitro neuron reconstruction software for network graph generation.Communications biology · 2024Review
- Protocol for morphometric analysis of neurons derived from human pluripotent stem cells.STAR protocols · 2022Article
- Article
- Experimental and Computational Methods for the Study of Cerebral Organoids: A Review.Frontiers in neuroscience · 2019Review
- Quantitative Determination of Cellular-and Neurite Motility Speed in Dense Cell Cultures.Frontiers in neuroinformatics · 2019Article
- A Manual Segmentation Tool for Three-Dimensional Neuron Datasets.Frontiers in neuroinformatics · 2017Article
- Computer Simulations Support a Morphological Contribution to BDNF Enhancement of Action Potential Generation.Frontiers in cellular neuroscience · 2016Article
- SAMA: A Method for 3D Morphological Analysis.PloS one · 2016Article
- Profile analysis of hepatic porcine and murine brain tissue slices obtained with a vibratome.PeerJ · 2015Article
- SPIN: a method of skeleton-based polarity identification for neurons.Neuroinformatics · 2014Article
- Versatile morphometric analysis and visualization of the three-dimensional structure of neurons.Neuroinformatics · 2013Article
- NEuronMOrphological analysis tool: open-source software for quantitative morphometrics.Frontiers in neuroinformatics · 2013Article
- HCS-Neurons: identifying phenotypic changes in multi-neuron images upon drug treatments of high-content screening.BMC bioinformatics · 2013Article
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Authors and funding
4 authors.
Funding
Abstract
Morphometric analysis of neurons and brain tissue is relevant to the study of neuron circuitry development during the first phases of brain growth or for probing the link between microstructural morphology and degenerative diseases. As neural imaging techniques become ever more sophisticated, so does the amount and complexity of data generated. The NEuronMOrphological analysis tool NEMO was purposely developed to handle and process large numbers of optical microscopy image files of neurons in culture or slices in order to automatically run batch routines, store data and apply multivariate classification and feature extraction using 3-way principal component analysis (PCA). Here we describe the software's main features, underlining the differences between NEMO and other commercial and non-commercial image processing tools, and show an example of how NEMO can be used to classify neurons from wild-type mice and from animal models of autism.
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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.