Spot Spine, a freely available ImageJ plugin for 3D detection and morphological analysis of dendritic spines.

Dendritic spine Fiji ImageJ image analysis neuroanatomy neuronal morphology synapse

Journal

F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320

Informations de publication

Date de publication:
2024
Historique:
accepted: 26 02 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: epublish

Résumé

Dendritic spines are tiny protrusions found along the dendrites of neurons, and their number is a measure of the density of synaptic connections. Altered density and morphology is observed in several pathologies, and spine formation as well as morphological changes correlate with learning and memory. The detection of spines in microscopy images and the analysis of their morphology is therefore a prerequisite for many studies. We have developed a new open-source, freely available, plugin for ImageJ/FIJI, called Spot Spine, that allows detection and morphological measurements of spines in three dimensional images. Local maxima are detected in spine heads, and the intensity distribution around the local maximum is computed to perform the segmentation of each spine head. Spine necks are then traced from the spine head to the dendrite. Several parameters can be set to optimize detection and segmentation, and manual correction gives further control over the result of the process. The plugin allows the analysis of images of dendrites obtained with various labeling and imaging methods. Quantitative measurements are retrieved including spine head volume and surface, and neck length. The plugin and instructions for use are available at https://imagej.net/plugins/spot-spine.

Sections du résumé

Background UNASSIGNED
Dendritic spines are tiny protrusions found along the dendrites of neurons, and their number is a measure of the density of synaptic connections. Altered density and morphology is observed in several pathologies, and spine formation as well as morphological changes correlate with learning and memory. The detection of spines in microscopy images and the analysis of their morphology is therefore a prerequisite for many studies. We have developed a new open-source, freely available, plugin for ImageJ/FIJI, called Spot Spine, that allows detection and morphological measurements of spines in three dimensional images.
Method UNASSIGNED
Local maxima are detected in spine heads, and the intensity distribution around the local maximum is computed to perform the segmentation of each spine head. Spine necks are then traced from the spine head to the dendrite. Several parameters can be set to optimize detection and segmentation, and manual correction gives further control over the result of the process.
Results UNASSIGNED
The plugin allows the analysis of images of dendrites obtained with various labeling and imaging methods. Quantitative measurements are retrieved including spine head volume and surface, and neck length.
Conclusion UNASSIGNED
The plugin and instructions for use are available at https://imagej.net/plugins/spot-spine.

Identifiants

pubmed: 39318716
doi: 10.12688/f1000research.146327.1
pmc: PMC11420623
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

176

Informations de copyright

Copyright: © 2024 Gilles JF et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Auteurs

Jean-Francois Gilles (JF)

Institut de Biologie Paris Seine, CNRS, Sorbonne Universite, Paris, Île-de-France, France.

Philippe Mailly (P)

CRIB, CNRS, College de France, Paris, Île-de-France, France.

Tiago Ferreira (T)

Howard Hughes Medical Institute Janelia Farm Research Campus, Ashburn, Virginia, USA.

Thomas Boudier (T)

INRIA, CNRS, Ecole Centrale Méditerranée, University of Côte d'Azur, Nice, Provence-Alpes-Côte d'Azur, France.

Nicolas Heck (N)

Neuroscience Paris Seine, CNRS, Sorbonne Universite, Paris, Île-de-France, France.

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Classifications MeSH