Modular approach for resolving and mapping complex neural and other cellular structures and their associated deformation fields in three dimensions. Issue 12 (December 2018)
- Record Type:
- Journal Article
- Title:
- Modular approach for resolving and mapping complex neural and other cellular structures and their associated deformation fields in three dimensions. Issue 12 (December 2018)
- Main Title:
- Modular approach for resolving and mapping complex neural and other cellular structures and their associated deformation fields in three dimensions
- Authors:
- Scimone, Mark
Cramer III, Harry
Bar-Kochba, Eyal
Amezcua, Rodolfo
Estrada, Jonathan
Franck, Christian - Abstract:
- Abstract Understanding the biological implications of cellular mechanotransduction, especially in the context of pathogenesis, requires the accurate resolution of material deformation and strain fields surrounding the cells. This is particularly challenging for cells displaying branched, 3D architectures. Here, we provide a modular approach for 3D image segmentation and strain mapping of topologically complex structures. We describe how to use our approach, using neural cells and networks as an example. In addition to describing how to implement the computational analysis, we provide details of a cell culture protocol that can be used to generate neural networks for analysis and experimentation. This protocol allows for transformation of matrix-induced strains, and their full resolution across single cells or networks in three dimensions. The protocol also provides analyses to compute both the locally varying cytoskeletal strains and the average strain experienced by cells. An additional module allows spatial correlation of these strain maps with cytoskeletal features, including neurite disruptions such as neuronal blebs. Image processing and strain mapping take ≥3 h, with the exact time required being dependent on use case, software familiarity, and file size. 3D image segmentation and strain mapping are applied to topologically complex structures. As an example, we present the resolution of 3D strains on a culture containing neurons, astrocytes, and neural progenitorsAbstract Understanding the biological implications of cellular mechanotransduction, especially in the context of pathogenesis, requires the accurate resolution of material deformation and strain fields surrounding the cells. This is particularly challenging for cells displaying branched, 3D architectures. Here, we provide a modular approach for 3D image segmentation and strain mapping of topologically complex structures. We describe how to use our approach, using neural cells and networks as an example. In addition to describing how to implement the computational analysis, we provide details of a cell culture protocol that can be used to generate neural networks for analysis and experimentation. This protocol allows for transformation of matrix-induced strains, and their full resolution across single cells or networks in three dimensions. The protocol also provides analyses to compute both the locally varying cytoskeletal strains and the average strain experienced by cells. An additional module allows spatial correlation of these strain maps with cytoskeletal features, including neurite disruptions such as neuronal blebs. Image processing and strain mapping take ≥3 h, with the exact time required being dependent on use case, software familiarity, and file size. 3D image segmentation and strain mapping are applied to topologically complex structures. As an example, we present the resolution of 3D strains on a culture containing neurons, astrocytes, and neural progenitors undergoing an in vitro injury event. … (more)
- Is Part Of:
- Nature protocols. Volume 13:Issue 12(2018)
- Journal:
- Nature protocols
- Issue:
- Volume 13:Issue 12(2018)
- Issue Display:
- Volume 13, Issue 12 (2018)
- Year:
- 2018
- Volume:
- 13
- Issue:
- 12
- Issue Sort Value:
- 2018-0013-0012-0000
- Page Start:
- 3042
- Page End:
- 3064
- Publication Date:
- 2018-12
- Subjects:
- Biology -- Methodology -- Periodicals
Chemistry -- MethodologyPeriodicals
Biology -- Handbooks, manuals, etc
Chemistry -- Handbooks, manuals, etc
570.28 - Journal URLs:
- http://www.nature.com/nprot/index.html ↗
http://www.nature.com/ ↗ - DOI:
- 10.1038/s41596-018-0077-7 ↗
- Languages:
- English
- ISSNs:
- 1754-2189
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6047.215000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11150.xml