Title |
The changing point-spread function: single-molecule-based super-resolution imaging
|
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Published in |
Histochemistry and Cell Biology, February 2014
|
DOI | 10.1007/s00418-014-1186-1 |
Pubmed ID | |
Authors |
Mathew H. Horrocks, Matthieu Palayret, David Klenerman, Steven F. Lee |
Abstract |
Over the past decade, many techniques for imaging systems at a resolution greater than the diffraction limit have been developed. These methods have allowed systems previously inaccessible to fluorescence microscopy to be studied and biological problems to be solved in the condensed phase. This brief review explains the basic principles of super-resolution imaging in both two and three dimensions, summarizes recent developments, and gives examples of how these techniques have been used to study complex biological systems. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 67% |
Hungary | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Netherlands | 1 | 1% |
Germany | 1 | 1% |
Unknown | 74 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 34% |
Researcher | 17 | 22% |
Student > Master | 8 | 10% |
Student > Bachelor | 5 | 6% |
Student > Doctoral Student | 4 | 5% |
Other | 6 | 8% |
Unknown | 11 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 15 | 19% |
Agricultural and Biological Sciences | 13 | 17% |
Engineering | 11 | 14% |
Physics and Astronomy | 10 | 13% |
Biochemistry, Genetics and Molecular Biology | 6 | 8% |
Other | 11 | 14% |
Unknown | 11 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2014.
All research outputs
#15,270,937
of 24,217,893 outputs
Outputs from Histochemistry and Cell Biology
#549
of 926 outputs
Outputs of similar age
#184,623
of 322,242 outputs
Outputs of similar age from Histochemistry and Cell Biology
#5
of 13 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 926 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,242 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.