ArticleFrontiers in neuroinformatics2010
Spatial Point Pattern Analysis of Neurons Using Ripley's K-Function in 3D.
Article in Frontiers in neuroinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Developmental emergence of sparse and structured synaptic connectivity in the hippocampal CA3 memory circuit.Nature communications · 2026Article
- Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small-cell lung cancer.Cell reports. Medicine · 2026Article
- Quantitative in toto live imaging analysis of apical nuclear migration in the mouse telencephalic neuroepithelium.Development, growth & differentiation · 2024Article
- Dissecting glial scar formation by spatial point pattern and topological data analysis.Scientific reports · 2024Article
- A machine learning framework for the quantification of experimental uveitis in murine OCT.Biomedical optics express · 2023Article
- A novel statistical methodology for quantifying the spatial arrangements of axons in peripheral nerves.Frontiers in neuroscience · 2023Article
- Three-Dimensional Spatial Analyses of Cholinergic Neuronal Distributions Across The Mouse Septum, Nucleus Basalis, Globus Pallidus, Nucleus Accumbens, and Caudate-Putamen.Neuroinformatics · 2022Article
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- Consistent inconsistencies in braking: a spatial analysis.Interface focus · 2021Article
- Universal autofocus for quantitative volumetric microscopy of whole mouse brains.Nature methods · 2021Article
- Gray Matter Sampling Differences Between Subdural Electrodes and Stereoelectroencephalography Electrodes.Frontiers in neurology · 2021Article
- Hi-C implementation of genome structure for in silico models of radiation-induced DNA damage.PLoS computational biology · 2020Article
- Disynaptic cerebrocerebellar pathways originating from multiple functionally distinct cortical areas.eLife · 2020Article
- Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model.PLoS computational biology · 2020Article
- A computational fluid dynamics approach to determine white matter permeability.Biomechanics and modeling in mechanobiology · 2019Article
- Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.PloS one · 2017Article
- Quantitative spatial analysis of transcripts in multinucleate cells using single-molecule FISH.Methods (San Diego, Calif.) · 2016Article
- Measuring Aggregation of Events about a Mass Using Spatial Point Pattern Methods.Spatial statistics · 2015Article
- Article
- Analysis of shape and spatial interaction of synaptic vesicles using data from focused ion beam scanning electron microscopy (FIB-SEM).Frontiers in neuroanatomy · 2015Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The aim of this paper is to apply a non-parametric statistical tool, Ripley's K-function, to analyze the 3-dimensional distribution of pyramidal neurons. Ripley's K-function is a widely used tool in spatial point pattern analysis. There are several approaches in 2D domains in which this function is executed and analyzed. Drawing consistent inferences on the underlying 3D point pattern distributions in various applications is of great importance as the acquisition of 3D biological data now poses lesser of a challenge due to technological progress. As of now, most of the applications of Ripley's K-function in 3D domains do not focus on the phenomenon of edge correction, which is discussed thoroughly in this paper. The main goal is to extend the theoretical and practical utilization of Ripley's K-function and corresponding tests based on bootstrap resampling from 2D to 3D domains.
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