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.bio-rad.com/en-pt/product/tc20-automated-cell-counter?ID=M7FBG34VY
Proper Citation: Bio-Rad: TC20 Automated Cell Counter (RRID:SCR_025462)
Description: Automated cell counter accurately counts cells in one simple step using auto-focus technology and cell-counting algorithm. Enables accurate cell counting in less than 30 seconds.
Synonyms: , TC20 Automated Cell Counter, TC20 Automated Cell Counter (Bio-Rad)
Resource Type: instrument resource
Keywords: Automated cell counter, cell counter,
Expand AllWe found {{ ctrl2.mentions.all_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 Bio-Rad: TC20 Automated Cell Counter.
No alerts have been found for Bio-Rad: TC20 Automated Cell Counter.
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 U24DK097771.
Email: info_at_ dknet.org
