Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://www.mrc-lmb.cam.ac.uk/kzhang/Gctf/
Proper Citation: GCTF (RRID:SCR_016500)
Description: Software tool as a Graphics Processing Units (GPU) accelerated computer program for real-time contrast transfer function (CTF) determination and correction. Used for a near-atomic resolution cryo electron microscopy (cryoEM) reconstruction to maximize the cross-correlation of a simulated CTF with the logarithmic amplitude spectra (LAS) of observed micrographs after background subtraction.
Abbreviations: GCTF
Synonyms: GContrast Transfer Function
Resource Type: data processing software, software resource, software application, data analysis software
Defining Citation: PMID:26592709
Keywords: accurate, real, time, constrast, transfer, function, determination, correction, atomic, resolution, cryo, electron, microscopy, reconstruction, micrograph
Expand Allis related to |
We found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for GCTF.
No alerts have been found for GCTF.
Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
