Cell Counting Kit 8
Cell Counting Kit 8 - Related Videos
06:43
Robotic Duodenal Sleeve Resection for Gastrointestinal Stromal Tumor with Rare Exon 8 KIT Mutation Following Neoadjuvant Imatinib
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2026
This video case report demonstrates the unique management of a duodenal gastrointestinal stromal tumor with a rare, understudied, exon 8 KIT mutation. Neoadjuvant therapy resulted in a 30% reduction in tumor size, making the patient a candidate for a robotic-assisted duodenal sleeve resection instead of the more morbid pancreaticoduodenectomy.
10:19
Using a Hemacytometer to Count Cells
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2023
Many biomedical experiments require manipulation of a known quantity of cells, in order to achieve accurate, reproducible, and statistically-relevant data. Therefore, learning how to count cells is a particularly essential technique for any successful biomedical scientist. The most common way to count cells is by using a hemacytometer - an instrument that bears two laser-etched grids, which aid in the enumeration of an aliquot cells under a simple light microscope. This data can then be used to...
04:41
Magnetic-Activated Cell Sorting: A Method to Isolate c-Kit Positive Cells
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2023
This video describes the technique of isolating c-kit positive cells from the bone marrow of a mouse. In the protocol, we will isolate c-kit positive cells from a transgenic mouse to validate c-Fos and Dusp1 alone or together as drug targets in leukemia.
05:47
Counting and Determining the Viability of Cultured Cells
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Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
06:37
Counting Human Neural Stem Cells
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Cited by 14 •
2007
Knowledge of the exact number of viable cells is required for many tissue culture manipulations. This protocol describes how to differentiate between live and dead cells and quantify cells using a hemacytometer. Although it describes counting human neural stem/precursor cells (hNSPCs), it can be used for other cell types.
FAQs
WST-8 serves as the assay’s responsive chemical component. Cellular dehydrogenases in metabolically active cells reduce this tetrazolium salt to orange formazan, and the resulting color is quantified through absorbance at 450 nm. A stronger signal generally indicates greater metabolic activity, making the reaction useful for comparing cultured-cell conditions rather than simply providing a direct cell count.
Because the readout depends on dehydrogenase activity, not cell number alone. Two cultures with similar numbers may generate different signals if a treatment changes cellular metabolism. Conversely, a change in absorbance may reflect an altered metabolic state rather than a corresponding gain or loss of cells. This distinction is especially important when interpreting drug, toxin, or stress responses.
CCK-8 can reveal changes in the overall metabolic signal of cultured neuronal or glial cells, but the measurement alone does not identify whether a difference reflects proliferation, survival, or metabolic modulation. Investigators should therefore interpret absorbance shifts in light of the experimental condition and the assay’s metabolic basis, rather than assigning every signal change to altered cell number.
Cells are cultured under defined experimental conditions, such as exposure to a drug, toxin, oxidative stressor, or injury-related condition. CCK-8 is then used to generate a colorimetric signal from metabolically active cells, and absorbance is measured at 450 nm. Comparing signals among conditions provides a rapid estimate of relative viability or proliferation.
In neuroscience, the assay can compare how neuronal and glial cultures respond to treatments or harmful conditions. Applications described for CCK-8 include examining drug effects, toxin-associated injury, oxidative stress, and conditions related to injury. The resulting comparisons can indicate whether cellular metabolic viability is higher or lower between experimental groups.
It provides a rapid, nonradioactive way to compare treatment-associated changes across cultured neuronal or glial cells. The same colorimetric readout can be used when studying drugs, toxins, oxidative stress, or injury-related conditions, allowing researchers to compare relative effects on viability-associated metabolic activity. Its value is greatest when results are interpreted with the metabolic basis in mind.