Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Handala, Lynda, Fiore, Tony, Rouillé, Yves, Helle, Francois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410121/
https://www.ncbi.nlm.nih.gov/pubmed/30791409
http://dx.doi.org/10.3390/v11020165
_version_ 1783402164188610560
author Handala, Lynda
Fiore, Tony
Rouillé, Yves
Helle, Francois
author_facet Handala, Lynda
Fiore, Tony
Rouillé, Yves
Helle, Francois
author_sort Handala, Lynda
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6410121
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64101212019-04-01 QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence Handala, Lynda Fiore, Tony Rouillé, Yves Helle, Francois Viruses Technical Note 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. MDPI 2019-02-19 /pmc/articles/PMC6410121/ /pubmed/30791409 http://dx.doi.org/10.3390/v11020165 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Handala, Lynda
Fiore, Tony
Rouillé, Yves
Helle, Francois
QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title_full QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title_fullStr QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title_full_unstemmed QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title_short QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence
title_sort quantif: an imagej macro to automatically determine the percentage of infected cells after immunofluorescence
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410121/
https://www.ncbi.nlm.nih.gov/pubmed/30791409
http://dx.doi.org/10.3390/v11020165
work_keys_str_mv AT handalalynda quantifanimagejmacrotoautomaticallydeterminethepercentageofinfectedcellsafterimmunofluorescence
AT fioretony quantifanimagejmacrotoautomaticallydeterminethepercentageofinfectedcellsafterimmunofluorescence
AT rouilleyves quantifanimagejmacrotoautomaticallydeterminethepercentageofinfectedcellsafterimmunofluorescence
AT hellefrancois quantifanimagejmacrotoautomaticallydeterminethepercentageofinfectedcellsafterimmunofluorescence