| Chapter title |
Revealing 3D Ultrastructure and Morphology of Stem Cell Spheroids by Electron Microscopy
|
|---|---|
| Chapter number | 30 |
| Book title |
3D Cell Culture
|
| Published in |
Methods in molecular biology, June 2017
|
| DOI | 10.1007/978-1-4939-7021-6_30 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7019-3, 978-1-4939-7021-6
|
| Authors |
Josef Jaros Ph.D., Michal Petrov, Marketa Tesarova, Ales Hampl, Josef Jaros, Jaros, Josef, Petrov, Michal, Tesarova, Marketa, Hampl, Ales |
| Editors |
Zuzana Koledova |
| Abstract |
Cell culture methods have been developed in efforts to produce biologically relevant systems for developmental and disease modeling, and appropriate analytical tools are essential. Knowledge of ultrastructural characteristics represents the basis to reveal in situ the cellular morphology, cell-cell interactions, organelle distribution, niches in which cells reside, and many more. The traditional method for 3D visualization of ultrastructural components, serial sectioning using transmission electron microscopy (TEM), is very labor-intensive due to contentious TEM slice preparation and subsequent image processing of the whole collection. In this chapter, we present serial block-face scanning electron microscopy, together with complex methodology for spheroid formation, contrasting of cellular compartments, image processing, and 3D visualization. The described technique is effective for detailed morphological analysis of stem cell spheroids, organoids, as well as organotypic cell cultures. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Master | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Agricultural and Biological Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Neuroscience | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 53% |