2019
DOI: 10.3390/v11020165
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QuantIF: An ImageJ Macro to Automatically Determine the Percentage of Infected Cells after Immunofluorescence

Abstract: 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 … Show more

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Cited by 33 publications
(26 citation statements)
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“…e immunohistochemical staining was quantified by digital image procedures using ImageJ software (NIH, Bethesda, MD, USA) [15][16][17][18][19][20]. Tissue sections were viewed using bright-field illumination under a Leica DM LB2 upright light microscope (Leica Microsystems Wetzlar GmbH, Wetzlar, Germany).…”
Section: Image Analysismentioning
confidence: 99%
“…e immunohistochemical staining was quantified by digital image procedures using ImageJ software (NIH, Bethesda, MD, USA) [15][16][17][18][19][20]. Tissue sections were viewed using bright-field illumination under a Leica DM LB2 upright light microscope (Leica Microsystems Wetzlar GmbH, Wetzlar, Germany).…”
Section: Image Analysismentioning
confidence: 99%
“…When observing the cells with the phase-contrast microscope, artifacts called "halo, " in which the cells are brightly surrounded, and "shade-off, " in which the intensity inside the cells is similar to the background, are found. These artifacts can hinder the detection of cells when using typical image analysis algorithms; so, fluorescence or quantitative phase-contrast microscopy are generally used to detect cells (Yin et al, 2012;Handala et al, 2019;Ozaki et al, 2019). Recently, amoeba cell morphological analysis using phasecontrast microscopic images has been reported (Wandro, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Fluorescent signals were collected with an AxioCam 305 color camera (Zeiss). Percentages of infected cells were automatically determined using the QuantIF ImageJ macro (36).…”
mentioning
confidence: 99%