A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
28 09 2019
Historique:
entrez: 15 10 2019
pubmed: 15 10 2019
medline: 1 7 2020
Statut: epublish

Résumé

Serial sectioning and subsequent high-resolution imaging of biological tissue using electron microscopy (EM) allow for the segmentation and reconstruction of high-resolution imaged stacks to reveal ultrastructural patterns that could not be resolved using 2D images. Indeed, the latter might lead to a misinterpretation of morphologies, like in the case of mitochondria; the use of 3D models is, therefore, more and more common and applied to the formulation of morphology-based functional hypotheses. To date, the use of 3D models generated from light or electron image stacks makes qualitative, visual assessments, as well as quantification, more convenient to be performed directly in 3D. As these models are often extremely complex, a virtual reality environment is also important to be set up to overcome occlusion and to take full advantage of the 3D structure. Here, a step-by-step guide from image segmentation to reconstruction and analysis is described in detail.

Identifiants

pubmed: 31609327
doi: 10.3791/59444
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Corrado Calì (C)

Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology; corrado.cali@gmail.com.

Kalpana Kare (K)

Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology.

Marco Agus (M)

Visual Computing Center, King Abdullah University of Science and Technology.

Maria Fernanda Veloz Castillo (MF)

Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology.

Daniya Boges (D)

Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology.

Markus Hadwiger (M)

Visual Computing Center, King Abdullah University of Science and Technology.

Pierre Magistretti (P)

Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology.

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Classifications MeSH