A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells.
Veloz Castillo, Maria Fernanda
Magistretti, Pierre J.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Visual Computing Center (VCC)
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/658651
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AbstractSerial 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.
CitationCalì, C., Kare, K., Agus, M., Veloz Castillo, M. F., Boges, D., Hadwiger, M., & Magistretti, P. (2019). A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells. Journal of Visualized Experiments, (151). doi:10.3791/59444
SponsorsThis work was supported by the King Abdullah University of Science and Technology (KAUST) Competitive Research Grants (CRG) grant
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