QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence.
Coxsackievirus B4
Hepatitis C virus
Yellow Fever Virus
fluorescent reporter protein
image quantification
infection
polyomavirus
virus
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
19 02 2019
19 02 2019
Historique:
received:
21
01
2019
revised:
12
02
2019
accepted:
17
02
2019
entrez:
23
2
2019
pubmed:
23
2
2019
medline:
21
8
2019
Statut:
epublish
Résumé
Counting labeled cells, after immunofluorescence or expression of a genetically fluorescent reporter protein, is frequently used to quantify viral infection. However, this can be very tedious without a high content screening apparatus. For this reason, we have developed QuantIF, an ImageJ macro that automatically determines the total number of cells and the number of labeled cells from two images of the same field, using DAPI- and specific-stainings, respectively. QuantIF can automatically analyze hundreds of images, taking approximately one second for each field. It is freely available as
Identifiants
pubmed: 30791409
pii: v11020165
doi: 10.3390/v11020165
pmc: PMC6410121
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Références
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pubmed: 22930834
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pubmed: 26153368
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pubmed: 29923822