ArticleFrontiers in neuroinformatics2013
RipleyGUI: software for analyzing spatial patterns in 3D cell distributions.
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 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- InVision: An optimized tissue clearing approach for three-dimensional imaging and analysis of intact rodent eyes.iScience · 2021Article
- Intercellular bridges coordinate the transition from pluripotency to meiosis in mouse fetal oocytes.Science advances · 2021Article
- Gray Matter Sampling Differences Between Subdural Electrodes and Stereoelectroencephalography Electrodes.Frontiers in neurology · 2021Article
- Disynaptic cerebrocerebellar pathways originating from multiple functionally distinct cortical areas.eLife · 2020Article
- A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods.Patterns (New York, N.Y.) · 2020Review
- Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model.PLoS computational biology · 2020Article
- Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space?Frontiers in robotics and AI · 2020Article
- A computational fluid dynamics approach to determine white matter permeability.Biomechanics and modeling in mechanobiology · 2019Article
- Intensify3D: Normalizing signal intensity in large heterogenic image stacks.Scientific reports · 2018Article
- Article
- Measuring Aggregation of Events about a Mass Using Spatial Point Pattern Methods.Spatial statistics · 2015Article
- Follicle dynamics and global organization in the intact mouse ovary.Developmental biology · 2015Article
- Editorial: Quantitative Analysis of Neuroanatomy.Frontiers in neuroanatomy · 2015Article
- Spatial distribution of D1R- and D2R-expressing medium-sized spiny neurons differs along the rostro-caudal axis of the mouse dorsal striatum.Frontiers in neural circuits · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. To facilitate the quantification of neuronal cell patterns we have developed RipleyGUI, a MATLAB-based software that can be used to detect patterns in the 3D distribution of cells. RipleyGUI uses Ripley's K-function to analyze spatial distributions. In addition the software contains statistical tools to determine quantitative statistical differences, and tools for spatial transformations that are useful for analyzing non-stationary point patterns. The software has a graphical user interface making it easy to use without programming experience, and an extensive user manual explaining the basic concepts underlying the different statistical tools used to analyze spatial point patterns. The described analysis tool can be used for determining the spatial organization of neurons that is important for a detailed study of structure-function relationships. For example, neocortex that can be subdivided into six layers based on cell density and cell types can also be analyzed in terms of organizational principles distinguishing the layers.
Indexed as
Identifiers
What OpenQuestion holds
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.