Abstract: A chromatogram analysis tool receives blood test data for a sample and divides the data into regions and determines a best-fit match template for each region. The chromatogram analysis tool determines a best-fit match for each region by comparing the blood test data to a set of templates associated with archetypical shapes of the region. The template with the highest r-squared value for the blood test data is the best-fit template. The chromatogram analysis tool generates a report based on the best-fit match templates for each region, which can indicate medical conditions or recommendations for additional testing.

Abstract: The present invention is generally directed to the analysis of biological samples. More particularly, the present invention is directed to automated sample analysis for paraproteins using immunosubtraction, capillary electrophoresis and Fourier transformation analysis.

Abstract: Identification and quantification of paraproteins in a sample is achieved by Fourier analysis of mobility-based electropherograms obtained from capillary electrophoresis. The use of a computer algorithm to analyze capillary electrophoresis data, provides the clinician with methods of detecting levels of paraproteins in serum as low as 0.05 g/dL. Additionally, an individual paraprotein can be located on an electropherogram and used to monitor its increased or decreased production in an individual.