TY - JOUR
T1 - A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells.
AU - Cali, Corrado
AU - Kare, Kalpana
AU - Agus, Marco
AU - Veloz Castillo, Maria Fernanda
AU - Boges, Daniya
AU - Hadwiger, Markus
AU - Magistretti, Pierre J.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the King Abdullah University of Science and Technology (KAUST) Competitive Research Grants (CRG) grant
PY - 2019/9/28
Y1 - 2019/9/28
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/658651
UR - https://www.jove.com/video/59444/a-method-for-3d-reconstruction-virtual-reality-analysis-glial
UR - http://www.scopus.com/inward/record.url?scp=85073148214&partnerID=8YFLogxK
U2 - 10.3791/59444
DO - 10.3791/59444
M3 - Article
C2 - 31609327
SN - 1940-087X
JO - Journal of visualized experiments : JoVE
JF - Journal of visualized experiments : JoVE
IS - 151
ER -