In vitro data available
CDC researchers have developed algorithmic methods for determining sigmoid curve optimums and calculating component concentrations. Sigmoid curves are commonly generated in bioassays and used to calculate results. Various techniques have been used to define the curve, analyze the observations, and calculate a concentration. This technology is an algorithmic approach to identifying the usable portion of a sigmoid curve. This approach is more objective than other methods, reducing the variability introduced by individuals and/or by repetition and allows substantially higher throughput in a situation where a lot of samples are being analyzed using the same assay.
- Observation and data analysis
- Determining concentrations
- Improving calculations and estimations
- Enhancing consistency and reproducibility of outcomes for bio and chem assays
- Less output-data subjectivity than alternate methods
- Rapid, accurate and simple to implement
- Quality control and assurance for a number of assays such as PCR, ELISA, toxin neutralization assays (TNA), flow cytometry, cell death assays, titrations, etc.
- Reduces data variability due to errant input
- Easily adapted to high-throughput analyses
- Demonstrated efficacy quantifying anthrax lethal toxin neutralization activity