Title :

QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence

Author(s) :

Handala, Lynda [Auteur]
Agents infectieux, résistance et chimiothérapie - UR UPJV 4294 [AGIR ]
Fiore, Tony [Auteur]
Agents infectieux, résistance et chimiothérapie - UR UPJV 4294 [AGIR ]
Rouillé, Yves [Auteur correspondant]
Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL]
Helle, Francois [Auteur correspondant]
Agents infectieux, résistance et chimiothérapie - UR UPJV 4294 [AGIR ]

Journal title :

Viruses

Pages :

165

Publisher :

MDPI

Publication date :

2019-02

ISSN :

1999-4915

English keyword(s) :

image quantification
virus
fluorescent reporter protein
infection
Coxsackievirus B4
polyomavirus
Hepatitis C virus
Yellow Fever Virus

HAL domain(s) :

Sciences du Vivant [q-bio]/Biologie cellulaire/Organisation et fonctions cellulaires [q-bio.SC]
Sciences du Vivant [q-bio]/Microbiologie et Parasitologie/Virologie

English abstract : [en]

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 ...
Show more >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 supplementary data online at MDPI.com and has been developed using ImageJ, a free image processing program that can run on any computer with a Java virtual machine, which is distributed for Windows, Mac, and Linux. It is routinely used in our labs to quantify viral infections in vitro, but can easily be used for other applications that require quantification of labeled cells.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Comment :

Lynda Handala and Tony Fiore contributed equally to this work.

Collections :

• Centre d'Infection et d'Immunité de Lille (CIIL) - U1019 - UMR 9017

Source :

Harvested from HAL