LOCAN: A python library for analyzing single-molecule localization microscopy data
Bioinformatics, ISSN: 1460-2059, Vol: 38, Issue: 9, Page: 2670-2672
2022
- 7Citations
- 14Captures
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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
- Citations7
- Citation Indexes7
- CrossRef7
- Captures14
- Readers14
- 14
Article Description
Single-molecule localization microscopy has become an important part of the super-resolution microscopy toolbox in biomedical research. Software platforms for applying analytical methods to the point-based data structures are needed that offer both routine application and flexible customization of analysis procedures. We present a python library called LOCAN that consists of well-defined data structures and analysis methods for analyzing localization data in a script or computable notebook.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85132660752&origin=inward; http://dx.doi.org/10.1093/bioinformatics/btac160; http://www.ncbi.nlm.nih.gov/pubmed/35298593; https://academic.oup.com/bioinformatics/article/38/9/2670/6550057; https://dx.doi.org/10.1093/bioinformatics/btac160
Oxford University Press (OUP)
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