ArticleNature protocols2008
L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies.
Article in Nature protocols, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 1 of them a synthesis that pooled it.
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Who cites it
187 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational Tools for Neuronal Morphometric Analysis: A Systematic Search and Review.Neuroinformatics · 2024Pooled it
- Pyramidal cell types and circuit organization of the mouse insular cortex reveal functional specializations.Nature neuroscience · 2026Article
- A framework for comparative analysis of human and mouse cortical neuron dendrites in corresponding brain regions.Nature neuroscience · 2026Article
- Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis.Neuroinformatics · 2026Article
- Automated Proofreading of Digitally Reconstructed Neural Morphology Enhances Accuracy, Scalability, and Standardization.bioRxiv : the preprint server for biology · 2026Article
- SPCNNet: spiking point cloud neural network for morphological neuron classification.Scientific reports · 2026Article
- Human Neocortical Glutamatergic Neurons Revealed Through Multimodal Profiling.bioRxiv : the preprint server for biology · 2026Article
- VENturing into machine learning for the morphological analysis of von Economo neurons.Scientific reports · 2025Article
- Dendritome mapping reveals the spatial organization of striatal neuron morphology.Nature neuroscience · 2025Article
- Neuronal architecture of the mouse insular cortex underlying its diverse functions.bioRxiv : the preprint server for biology · 2025Article
- An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex.Nature communications · 2025Article
- Connectivity of single neurons classifies cell subtypes in mouse brains.Nature methods · 2025Article
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- A method for quantifying parallel growth between neuronal dendritic branches in vitro.PloS one · 2025Article
- Brain connectome from neuronal morphology.Network neuroscience (Cambridge, Mass.) · 2025Article
- Neuronal diversity and stereotypy at multiple scales through whole brain morphometry.Nature communications · 2024Article
- Collaborative augmented reconstruction of 3D neuron morphology in mouse and human brains.Nature methods · 2024Article
- Demonstration that sublinear dendrites enable linearly non-separable computations.Scientific reports · 2024Article
- Accelerating the continuous community sharing of digital neuromorphology data.FASEB bioAdvances · 2024Article
127 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
L-Measure (LM) is a freely available software tool for the quantitative characterization of neuronal morphology. LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions. This report illustrates several LM protocols: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of approximately 20 neurons. The tool is available at http://krasnow.gmu.edu/cn3 for either online use on any Java-enabled browser and platform or download for local execution under Windows and Linux.
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