Nuclear Marker Quantification
Nuclear Marker Quantification - Related Videos
14:53
In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
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Cited by 5 •
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We describe a procedure for the detection of chemical elements present in situ in human cells as well as their in vitro quantification. The method is well-suited to any cell type and is particularly useful for quantitative chemical analyses in single cells following in vitro metal oxide nanoparticles exposure.
08:45
Duplex Digital PCR for Simultaneous Quantification of Dual Genetic Markers
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In this video, we demonstrate the duplex digital PCR (ddPCR) technique — a modification of the traditional PCR technique that is useful in detecting two different genetic markers simultaneously. A single PCR reaction is partitioned into nanoliter-sized emulsified droplets that are independently amplified, and the detection of differently colored fluorescence amplification signals from the fraction of droplets is used to compute the initial concentration of the target sequences.
04:36
Production of Synthetic Nuclear Melt Glass
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Cited by 1 •
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A protocol for the production of synthetic nuclear melt glass, similar to trinitite, is presented.
12:14
A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters
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Cited by 13 •
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03:18
Nuclear Stability
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2020
Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters. To hold positively charged protons together in the...
FAQs
These measurements describe different aspects of a developmental sample. Signal intensity can indicate how much marker-associated fluorescence is present within identified nuclei, whereas counting marker-positive cells estimates how many nuclei meet a marker-detection criterion. Examining both values helps separate changes in marker level per cell from changes in the size or composition of a cell population.
Location adds biological meaning to marker measurements. A marker may appear in a restricted region, spread across a tissue, or shift position between developmental stages. Quantifying where labeled nuclei occur can therefore reveal changes in tissue patterning and help relate cellular identity or state to the organization of the developing embryo or tissue.
Stage-to-stage comparisons show whether a marker-associated state increases, decreases, or changes its distribution during development. Such patterns can provide quantitative evidence for cell fate specification, proliferation, or differentiation. Comparing experimental conditions with the same type of measurement also helps identify when developmental programs diverge and which cellular features change over time.
A typical workflow labels nuclear-associated markers in tissues or embryos using fluorescent probes or antibodies, acquires microscopy images, and applies image-analysis tools to identify nuclei. The analysis then measures signal intensity, determines which nuclei are marker-positive, or evaluates their spatial distribution. These numerical outputs support comparisons across stages or experimental conditions.
Image analysis converts visual features into defined numerical measurements by locating nuclei and associating marker signal with those nuclear regions. Depending on the question, the resulting data may include intensity, the number of marker-positive nuclei, or spatial distribution. This approach makes comparisons more objective and reproducible than relying only on visual inspection.
The method is useful for following developmental changes in cell identity and tissue organization. Measurements of marker-positive nuclei can track cell fate specification, while changes in signal or cell counts can inform analyses of proliferation and differentiation. Spatial measurements further support studies of tissue patterning across embryos, tissues, developmental stages, or experimental conditions.