Technology ID
TAB-2724
Method for Finding Usable Portion of Sigmoid Curve (the Taylor Method), Improved Assay Readouts, and Enhanced Quality Control/Assurance
E-Numbers
E-270-2013-0
Lead Inventor
Taylor, Thomas (CDC)
Applications
Vaccines
Therapeutics
Software / Apps
Research Materials
Diagnostics
Consumer Products
Therapeutic Areas
Ophthalmology
Oncology
Infectious Disease
Endocrinology
Dental
Cardiology
Development Stages
Pre-Clinical (in vitro)
Development Status
In vitro data available
Research Products
Research Equipment
Computational models/software
Lead IC
CDC
ICs
CDC
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.
Commercial Applications
- Observation and data analysis
- Determining concentrations
- Improving calculations and estimations
- Enhancing consistency and reproducibility of outcomes for bio and chem assays
Competitive Advantages
- 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
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