IceBreaker: Software for high-resolution single-particle cryo-EM with non-uniform ice
Structure, ISSN: 0969-2126, Vol: 30, Issue: 4, Page: 522-531.e4
2022
- 5Citations
- 27Captures
- 1Mentions
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
- Citations5
- Citation Indexes5
- Captures27
- Readers27
- 27
- Mentions1
- News Mentions1
- 1
Most Recent News
Solving the ice problem in cryo-electron microscopy
Cryo-EM requires protein samples to be frozen before they are imaged using an electron microscope. This revolutionary technique and its application to structural biology was the focus of the Nobel Prize for Chemistry in 2017 and has contributed to a wave of new structural information for proteins that were difficult or impossible to prepare for X-ray crystallography. As cryo-EM became more popular
Article Description
Despite the abundance of available software tools, optimal particle selection is still a vital issue in single-particle cryoelectron microscopy (cryo-EM). Regardless of the method used, most pickers struggle when ice thickness varies on a micrograph. IceBreaker allows users to estimate the relative ice gradient and flatten it by equalizing the local contrast. It allows the differentiation of particles from the background and improves overall particle picking performance. Furthermore, we introduce an additional parameter corresponding to local ice thickness for each particle. Particles with a defined ice thickness can be grouped and filtered based on this parameter during processing. These functionalities are especially valuable for on-the-fly processing to automatically pick as many particles as possible from each micrograph and to select optimal regions for data collection. Finally, estimated ice gradient distributions can be stored separately and used to inspect the quality of prepared samples.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0969212622000053; http://dx.doi.org/10.1016/j.str.2022.01.005; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85127367065&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35150604; https://linkinghub.elsevier.com/retrieve/pii/S0969212622000053; https://dx.doi.org/10.1016/j.str.2022.01.005
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know