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</script>DNA labeling in vivo using nucleoside analogues is a current experimental approach to determine cell proliferation rates in cell cultures and tissues. It has also been successfully used to localize adult stem cell niches through the identification of nucleoside label-retaining cells (LRC) in long-term experiments. A major hindrance of this methodology relies on the selection of adequate procedures to quantify the nucleoside analogue content from image data files. Here we propose a simple procedure using Fiji image processing software to accurately calculate nucleoside analogue retaining chromatin/total chromatin (LRC/DAPI) signal ratios in the well-known mouse hair follicle stem cell niche.
Hair follicle, Indoles, Staining and Labeling, Label-retaining cells, Stem Cells, DNA, Bromo-deoxyuridine (BrdU), Fiji software, Epidermal stem cells, Chromatin, Mice, Inbred C57BL, Mice, Animals, Newborn, Bromodeoxyuridine, Image Processing, Computer-Assisted, Animals, DNA labeling, Hair Follicle, Software
Hair follicle, Indoles, Staining and Labeling, Label-retaining cells, Stem Cells, DNA, Bromo-deoxyuridine (BrdU), Fiji software, Epidermal stem cells, Chromatin, Mice, Inbred C57BL, Mice, Animals, Newborn, Bromodeoxyuridine, Image Processing, Computer-Assisted, Animals, DNA labeling, Hair Follicle, Software
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 81 |

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