Assaying three-dimensional cellular architecture using X-ray tomographic and correlated imaging approaches
Journal of Biological Chemistry, ISSN: 0021-9258, Vol: 295, Issue: 46, Page: 15782-15793
2020
- 11Citations
- 39Usage
- 32Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations11
- Citation Indexes11
- 11
- CrossRef4
- Usage39
- Downloads33
- Abstract Views6
- Captures32
- Readers32
- 32
Review Description
Much of our understanding of the spatial organization of and interactions between cellular organelles and macromolecular complexes has been the result of imaging studies utilizing either light- or electron-based microscopic analyses. These classical approaches, while insightful, are nonetheless limited either by restrictions in resolution or by the sheer complexity of generating multidimensional data. Recent advances in the use and application of X-rays to acquire micro- and nanotomographic data sets offer an alternative methodology to visualize cellular architecture at the nanoscale. These new approaches allow for the subcellular analyses of unstained vitrified cells and three-dimensional localization of specific protein targets and have served as an essential tool in bridging light and electron correlative microscopy experiments. Here, we review the theory, instrumentation details, acquisition principles, and applications of both soft X-ray tomography and X-ray microscopy and how the use of these techniques offers a succinct means of analyzing three-dimensional cellular architecture. We discuss some of the recent work that has taken advantage of these approaches and detail how they have become integral in correlative microscopy workflows.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0021925817504044; http://dx.doi.org/10.1074/jbc.rev120.009633; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85096202734&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/32938716; https://linkinghub.elsevier.com/retrieve/pii/S0021925817504044; https://digitalcommons.wustl.edu/open_access_pubs/9895; https://digitalcommons.wustl.edu/cgi/viewcontent.cgi?article=10887&context=open_access_pubs; https://dx.doi.org/10.1074/jbc.rev120.009633
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know