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URL: https://github.com/alexlib/KymoButler-1
Proper Citation: KymoButler (RRID:SCR_021717)
Description: Software tool as deep learning software for automated kymograph analysis. Uses artificial intelligence to trace lines in kymograph and extract information about particle movement. Speeds up analysis of kymographs by between 50 and 250 times, and comparisons show that it is as reliable as manual analysis.
Resource Type: data analysis software, data processing software, software application, software resource
Defining Citation: PMID:31405451
Keywords: automated kymograph analysis, kymograph, particle movement
Funding: Biotechnology and Biological Sciences Research Council ; European Research Council ; Herchel Smith Foundation ; Isaac Newton Trust ; Wellcome Trust
Availability: Free, Available for download, Freely available
Resource Name: KymoButler
Resource ID: SCR_021717
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400