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

Corrado Cali, Kalpana Kare, Marco Agus, Maria Fernanda Veloz Castillo, Daniya Boges, Markus Hadwiger, Pierre J. Magistretti

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.
Original languageEnglish (US)
JournalJournal of visualized experiments : JoVE
Issue number151
DOIs
StatePublished - Sep 28 2019

Fingerprint

Dive into the research topics of 'A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells.'. Together they form a unique fingerprint.

Cite this