Use cases
Find details on common data analysis use cases and the add-ons that support them.
| Data analysis add-on | Use case | Description |
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For some biological assays, determining relative potency within a single run is not sufficient. In these cases, you perform multiple individual assay runs and then combine the resulting data to obtain a more reliable final potency estimate. The challenge is to combine these individual results efficiently and reproducibly, particularly in regulated environments or when preparing for automated workflows. |
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In the pharmaceutical industry, water is an important resource both in synthesizing and developing products and in cleaning vessels and other types of equipment. Validating the cleaning processes for pharmaceutical water to prevent product contamination is therefore crucial. |
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Color your observations depending on a secondary factor not shown in the plot. You can apply colors based on thresholds or utilizing an independent text column. |
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Monitor the EC50 of a dose-response analysis together with the interpolated Test sample concentrations. Monitor the effective and interpolated concentrations for individual days, and employ a sidechart that provides the mean EC50 and a three-sigma interval for the EC50. |
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Create events for the dates on which you changed the cell culture and reference the events in rule sets to define the periods you want to monitor. |
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Caused by high blood sugar level, leg cramps are a common side effect of diabetes. This effect can be countered by administering insulin, which lowers the blood sugar level. As a too high dose of insulin can also cause leg cramps, it is crucial to find the correct concentration. |
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Thyroxine (T4) is a commonly measured thyroid hormone for diagnosis of the thyroid function. Determining the total quantity of human thyroxine in serum is a standard use case for interpolation on a calibration curve. |