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Protocols for Generating Surfaces and Measuring 3D Organelle Morphology Using Amira
| Content Provider | MDPI |
|---|---|
| Author | Garza-Lopez, Edgar Vue, Zer Katti, Prasanna Neikirk, Kit Biete, Michelle Lam, Jacob Beasley, Heather K. Marshall, Andrea G. Rodman, Taylor A. Christensen, Trace A. Salisbury, Jeffrey L. Vang, Larry Mungai, Margaret Shareef, Salma Ash Murray, Sandra A. Shao, Jianqiang Streeter, Jennifer Glancy, Brian Pereira, Renata O. Abel, E. Dale Hinton, Antentor |
| Copyright Year | 2021 |
| Description | High-resolution 3D images of organelles are of paramount importance in cellular biology. Although light microscopy and transmission electron microscopy (TEM) have provided the standard for imaging cellular structures, they cannot provide 3D images. However, recent technological advances such as serial block-face scanning electron microscopy (SBF-SEM) and focused ion beam scanning electron microscopy (FIB-SEM) provide the tools to create 3D images for the ultrastructural analysis of organelles. Here, we describe a standardized protocol using the visualization software, Amira, to quantify organelle morphologies in 3D, thereby providing accurate and reproducible measurements of these cellular substructures. We demonstrate applications of SBF-SEM and Amira to quantify mitochondria and endoplasmic reticulum (ER) structures. |
| Starting Page | 65 |
| e-ISSN | 20734409 |
| DOI | 10.3390/cells11010065 |
| Journal | Cells |
| Issue Number | 1 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-12-27 |
| Access Restriction | Open |
| Subject Keyword | Cells Amira Sbf-sem Fib-sem Segmentation Organelles 3d Reconstruction 3d Imaging Mitochondrial Imaging Volume Analysis |
| Content Type | Text |
| Resource Type | Article |
