Abstract
Skeletal muscle is a highly ordered tissue composed of a complex network of a diverse variety of cells. The dynamic spatial and temporal interaction between these cells during homeostasis and during times of injury gives the skeletal muscle its regenerative capacity. In order to properly understand the process of regeneration, a three-dimensional (3-D) imaging process must be conducted. While there have been several protocols studying 3-D imaging, it has primarily been focused on the nervous system. This protocol aims to outline the workflow for rendering a 3-D image of the skeletal muscle using spatial data from confocal microscope images. This protocol uses the ImageJ, Ilastik, and Imaris software for 3-D rendering and computational image analysis as both are relatively easy to use and have powerful segmentation capabilities.
| Original language | English (US) |
|---|---|
| Title of host publication | Methods in Molecular Biology |
| Publisher | Humana Press Inc. |
| Pages | 463-477 |
| Number of pages | 15 |
| DOIs | |
| State | Published - 2023 |
Publication series
| Name | Methods in Molecular Biology |
|---|---|
| Volume | 2640 |
| ISSN (Print) | 1064-3745 |
| ISSN (Electronic) | 1940-6029 |
Bibliographical note
Funding Information:We thank the Minnesota Supercomputing Institute, the University of Minnesota Imaging Center. We also thank Dr. Masatsugu Ema (Shiga University of Medical Science) for providing Flk1+/GFP mice. This work was supported by NIHR01AR062142, NIH-R21AR070319, and Regenerative Medicine Minnesota (RMM) Grant to AA.
Publisher Copyright:
© 2023, Springer Science+Business Media, LLC, part of Springer Nature.
Keywords
- 3D imaging
- Angiogenesis
- Endothelial cell
- Muscle regeneration
- Muscle stem cell
- Muscular dystrophy
- Myogenesis
- Satellite cell
- Skeletal muscle
- Tissue clearing
PubMed: MeSH publication types
- Journal Article
- Research Support, N.I.H., Extramural
- Research Support, Non-U.S. Gov't