Viability Measurement Wst-1
Viability Measurement Wst-1 - Related Videos
03:10
An Assay to Measure Chemically-Induced Cytotoxicity in Human Precision-Cut Lung Slices
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2025
This video illustrates a technique for evaluating cytotoxicity in human precision-cut lung slices through the WST-1 assay. Human precision-cut lung slices are subjected to incremental concentrations of a cytotoxic chemical to quantify their cytotoxicity. A decrease in color intensity serves as confirmation of the chemical's detrimental impact on lung cells.
12:03
Viability Assays for Cells in Culture
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Cited by 39 •
2014
Therapeutic compounds are often first examined in vitro with viability assays. Blind cell counts by a human observer can be highly sensitive to small changes in cell number but do not assess function. Computerized viability assays, as described here, can assess both structure and function in an objective manner.
06:24
Measuring Embryonic Viability and Brood Size in Caenorhabditis elegans
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Cited by 20 •
2023
Here, we present a general method to determine the embryonic viability and total number of embryos produced (brood) using the model organism C. elegans.
02:38
Fluorescence-Based Viability Assessment of Oral Anaerobic Bacteria
0 Views •
2026
Source: Calatayud Arroyo, M., et al. Assessing the Viability of a Synthetic Bacterial Consortium on the In Vitro Gut Host-microbe Interface. J. Vis. Exp. (2018)The video demonstrates a method to evaluate the viability of anaerobic oral bacteria using fluorescent dyes and flow cytometry. It begins with culturing bacteria in oxygen-free broth, followed by resuspending a single colony from a blood agar plate. After incubation and dilution, the culture is stained with membrane-permeable and...
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.
FAQs
The assay signal arises when cellular mitochondrial dehydrogenases reduce WST-1 to a colored, water-soluble formazan product. Because the resulting absorbance increases with metabolic activity under appropriate conditions, the color intensity provides a quantitative readout for comparing living, metabolically active cells between experimental samples.
WST-1 reports the reducing activity associated with cellular metabolism, not the physical number of cells independently of their physiological state. Consequently, differences in absorbance can reflect changes in metabolic activity as well as differences in viable-cell abundance. Comparisons are most informative when assay conditions remain consistent across samples.
A lower absorbance may indicate pathogen-induced damage that reduces the number or metabolic activity of viable cells. However, infection can also alter the metabolic state of surviving cells, so the signal should be interpreted as a measure of overall metabolic viability under the tested condition rather than as a standalone measure of cell loss.
The relationship between absorbance and cellular metabolic activity applies under appropriate assay conditions. Variations in the experimental environment can therefore affect how reliably color formation reflects differences between samples. Maintaining comparable conditions enables meaningful comparisons of immune-cell health, infection-related damage, drug effects, or antimicrobial effects across treatment groups.
A typical workflow exposes cells to the experimental conditions, introduces the water-soluble WST-1 reagent, and measures the absorbance produced by formazan formation. The resulting values are compared across conditions to estimate relative metabolic viability. This nonradioactive format supports rapid assessment without relying on a radioactive detection step.
Investigators can use the assay to compare pathogen-induced cytotoxicity, immune-cell responses, antimicrobial activity, drug effects, and treatment safety. For example, parallel samples can reveal whether a tested intervention preserves cellular metabolic viability or whether infection produces greater damage than a comparison condition.