Tumor Cell Viability
Tumor Cell Viability - Related Videos
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.
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.
03:24
ATP-Based Luciferase Viability Assay: A Homogenous Method to Evaluate the Growth-Inhibitory Potential of Test Agents on Tumor Organoids
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2025
In this video, we demonstrate a rapid, single-addition assay to assess cell viability in patient-derived organoids upon treatment with a test agent using intracellular ATP levels as a marker for cellular metabolic activity. The intracellular ATP levels are measured using the luciferase/luciferin reaction, where the emitted light intensity indicates the cellular viability and, in turn, the test agent's growth-inhibitory potency.
07:28
Imaging Cell Viability on Non-transparent Scaffolds — Using the Example of a Novel Knitted Titanium Implant
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Cited by 6 •
2016
Here we present a fluorophore based imaging technique to detect cell viability on a non-transparent titanium scaffold as well as to detect glimpses of the scaffold impurities. This protocol troubleshoots the drawback of imaging cell-cell or cell-metal interactions on non-transparent scaffolds.
05:54
Determining Optimal Inhibitory Tumor Treating Field Frequency for Cancer Cells: A Non-invasive In Vitro Method to Assess the Effect of TTFields on Cancer Cell Viability
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2023
This video demonstrates the effect of TTField application on the growth of ovarian cancer cell lines in vitro. This assay can help determine the optimal frequency of the electric field that can lead to a maximum reduction in the number of cancer cells.
FAQs
Metabolic activity, ATP levels, membrane integrity, and live/dead staining provide different readouts of the cellular state. Metabolic and ATP measurements indicate whether treated cells retain biochemical activity, whereas membrane-based measures and staining assess structural integrity and survival status. Using an indicator suited to the experimental question helps researchers interpret whether a treatment primarily reduces function, viability, or both.
Untreated cultures provide the reference needed to determine how much a drug, targeted therapy, radiation exposure, or combination treatment changes the measured signal. Comparing treated samples with this baseline helps distinguish treatment-associated effects from the starting condition of the culture. It also supports consistent interpretation across experimental conditions and improves the reliability of viability measurements.
Dose-response measurements show how viability changes as treatment exposure varies. A strong reduction across relevant conditions can indicate therapeutic efficacy, while limited or inconsistent reduction may suggest resistance. Examining these patterns helps researchers compare treatments, identify concentration-dependent effects, and evaluate whether combining therapies produces a different response from either treatment alone.
Viability results are meaningful only in relation to the conditions under which they were measured. Maintaining defined conditions allows researchers to compare treated and untreated cultures using the same experimental framework. This consistency is especially important when evaluating different therapies or doses, because changes in the measured indicators can then be interpreted more confidently as treatment-related outcomes.
A typical workflow establishes cancer-cell cultures under defined conditions, exposes them to selected treatments, and includes untreated controls for comparison. Researchers then measure an appropriate indicator, such as metabolism, ATP, membrane integrity, or live/dead staining. Comparing the resulting signals across conditions produces evidence of treatment response and can support dose-response analysis.
These assays are used to evaluate cytotoxic drugs, targeted therapies, radiation, and combination treatments. They help researchers determine whether an intervention reduces the survival or functional integrity of cancer cells and whether responses differ across treatment conditions. The resulting measurements can guide comparisons among candidate therapies and support investigations of therapeutic selectivity.
Viability measurements provide a practical outcome for screening workflows because many treatment conditions can be compared using consistent cellular readouts. Results may reveal effective doses, reduced responses associated with resistance, or changes produced by combination treatments. In this way, the assays contribute to studying tumor biology, evaluating treatment outcomes, and developing more precise therapeutic approaches.