Canon U.S. Life Sciences, Inc.

Becton Dickinson and Company Limited

Canon U.s.a., Inc.

Medtronic Minimed, Inc.

Sami Kanderian

Kenton C Hasson

Johnathan Stuart Coursey

Gregory H Owen

Scott Corey

Deborah John Boles

Hongye Liang

Brian Bean

Brian P Murphy

Eric D Schneider

Shulin Zeng

Hiroshi Inoue

Ben Lane

Alex K Flamm

Ivor T Knight

John J Shin

Weidong Cao

Conrad Laskowski

Takayoshi Hanagata

Ying-Xin Wang

Franklin Regan

John Joseph Mastrototaro

James R Petisce

David R Mason

Lu Wang

Peter I Hong

Kris R Holtzclaw

Scott O Sundberg

Deborah Burns

Renee Howell

Ellen DiResta

Fernando Weber DeCastro

Nandita N Patel

Nandita D Dangui

Fernando DeCastro

Ellen Diresta

Richard Yoon

The present invention relates to the use of one or more amplicons as temperature calibrators. In some embodiments, the calibrators may be used to calibrate the temperature of a microfluidic channel in which amplification and/or melt analysis is performed. In some embodiments, the amplicons may be genomic, ultra conserved elements and/or synthetic. The amplicon(s) may have a known or expected melt temperature(s). The calibrators may be added to primers of study or may follow or lead the primers of study in the channel. The amplicon(s) may be amplified and melted, and the temperature(s) at which the amplicon(s) melted may be determined. The measured temperature(s) may be compared to the known temperature(s) at which the amplicon(s) was expected to melt. The difference(s) between the measured and expected temperatures may be used to calibrate/adjust one or more temperature control elements used to control and/or detect the temperature of the channel.

Thermal calibration

Systems, devices and methods for managing a physiological condition are configured to store predetermined output segments of content, analyze physiological data and other user information, and generate user-friendly information that provides an interpretation of the data (e.g., identifies selected data points, or determines pattern of physiological data over selected period(s)). An output segment management system with rules engine and method combines selected output segments to generate a presentation or message (e.g., with text, graphical, multimedia, video and/or audio information). The resulting presentation or message provides user information such as an explanation of selected data with selected user information incorporated therein, and optional recommendations (e.g., suggested user actions based on a designated protocol such as a clinical protocol).

System for improved interpretation of physiological data and presentation of physiological condition management information

The present invention relates to systems and methods for the real time processing of nucleic acid during polymerase chain reaction (PCR) and thermal melt applications. According to an aspect of the invention, a system for the rapid serial processing of multiple nucleic acid assays is provided. In one embodiment, the system includes, but is not limited to: a microfluidic cartridge having microfluidic (flow-through) channels, a fluorescence imaging system, a temperature measurement and control system; a pressure measurement and control system for applying variable pneumatic pressures to the microfluidic cartridge; a storage device for holding multiple reagents (e.g., a well-plate); a liquid handling system comprising at least one robotic pipettor for aspirating, mixing, and dispensing reagent mixtures to the microfluidic cartridge; systems for data storage, processing, and output; and a system controller to coordinate the various devices and functions.

System and method for serial processing of multiple nucleic acid assays

The present invention, in one aspect, provides methods and systems for controlling slugs using temperature dependent fluorescent dyes. In some embodiments, the present invention uses one or more techniques to enhance the visibility of slugs, enhance a system's ability to differentiate between slugs, and enhance a system's ability to identify the positions of slugs.

Slug control during thermal cycling

The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids and the identification of nucleic acids. In one aspect, methods and systems are disclosed for identifying a nucleic acid in a sample including an unknown nucleic acid and for detecting a single nucleotide polymorphism in a nucleic acid in a sample. In another aspect, methods and systems are disclosed for identification of a nucleic acid in a biological sample including at least one unknown nucleic acid by fitting denaturation data including measurements of a quantifiable physical change of the sample at a plurality of independent sample property points to a function to determine an intrinsic physical value and to obtain an estimated physical change function, and identifying the nucleic acid in the biological sample by comparing the intrinsic physical value for at least one unknown nucleic acid to an intrinsic physical value for a known nucleic acid.

High-resolution melting analysis

The application relates to methods and systems for analysis of dissociation behavior of nucleic acids and identification of nucleic acids. In one aspect, methods and systems are disclosed for identifying a nucleic acid in a sample including an unknown nucleic acid and for detecting a single nucleotide polymorphism in a nucleic acid in a sample. Methods and systems are also disclosed for identification of a nucleic acid in a biological sample including at least one unknown nucleic acid by fitting denaturation data including measurements of a quantifiable physical change of the sample at a plurality of independent sample property points to a function to determine an intrinsic physical value and to obtain an estimated physical change function, and identifying the nucleic acid in the biological sample by comparing the intrinsic physical value for at least one unknown nucleic acid to an intrinsic physical value for a known nucleic acid.

The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids. The present invention includes methods and systems for analyzing dynamic profiles of genotypes of nucleic acids, including the steps of using a computer, including a processor and a memory, to convert dynamic profiles of known genotypes of a nucleic acid to multi-dimensional data points, wherein the dynamic profiles each comprise measurements of a signal representing a physical change of a nucleic acid containing the known genotype relative to an independent variable; using the computer to reduce the multi-dimensional data points into reduced-dimensional data points; and generating a plot of the reduced-dimensional data points for each genotype. The present invention also relates to methods and systems for calculating error statistics for an assay for identifying a genotype in a biological sample using an enhanced Monte Carlo simulation method to generate a set of N random data points for each known genotype within a class of known genotypes, where each set of N random data points has the same mean data point and covariance matrix as a data set for each of the known genotypes.

System and method for genotype analysis and enhanced monte carlo simulation method to estimate misclassification rate in automated genotyping

The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids and the identification of determining whether a genotype is present in a biological sample. This includes methods and systems for determining whether a genotype is present in a biological sample, through generating a dynamic profile an unknown genotype, correlating the dynamic profile to an average profile for a known genotype to generate a correlation value, and determining whether the correlation value falls within an acceptable threshold to determine if the unknown genotype is the known genotype. The present invention also relates to methods and systems for generating a training set to allow a machine to recognize a known genotype from within a class of known genotypes. The training set generated by these methods and systems may be used to assist in identification of unknown genotypes.

Rapid method of pattern recognition, machine learning, and automated genotype classification through correlation analysis of dynamic signals

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Germantown, MD, United States of America

Sami Kanderian