3D immuno-confocal image reconstruction of fibroblast cytoskeleton and nucleus architecture
| Autor: | Emma Jane Blain, Anthony Joseph Hayes, Hanxing Zhu, Craig Boote, Petar Markov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Cell Nucleus
Decimation Quadric Computer science Confocal 3D reconstruction General Engineering General Physics and Astronomy Image processing General Chemistry Iterative reconstruction Fibroblasts General Biochemistry Genetics and Molecular Biology Imaging Three-Dimensional Image Processing Computer-Assisted General Materials Science Polygon mesh Biological imaging Biological system Cytoskeleton |
| ISSN: | 1864-063X |
| Popis: | Computational models of cellular structures generally rely on simplifying approximations and assumptions that limit biological accuracy. This study presents a comprehensive image processing pipeline for creating unified three-dimensional (3D) reconstructions of the cell cytoskeletal networks and nuclei. Confocal image stacks of these cellular structures were reconstructed to 3D isosurfaces (Imaris), then tessellations were simplified to reduce the number of elements in initial meshes by applying quadric edge collapse decimation with preserved topology boundaries (MeshLab). Geometries were remeshed to ensure uniformity (Instant Meshes) and the resulting 3D meshes exported (ABAQUS) for downstream application. The protocol has been applied successfully to fibroblast cytoskeletal reorganisation in the scleral connective tissue of the eye, under mechanical load that mimics internal eye pressure. While the method herein is specifically employed to reconstruct immunofluorescent confocal imaging data, it is also more widely applicable to other biological imaging modalities where accurate 3D cell structures are required. |
| Databáze: | OpenAIRE |
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