Life Technologies Corporation

Ruoyun Wu

David Fortescue

Ming Shen

Gordon A Janaway

Manjula Aliminati

Kevin Albert Maher

Jacob K Freudenthal

Kuan Moon Boo

Gary Lim

Chee Kiong Lim

Nivedita Sumi Majumdar

Harrison Leong

Francis T Cheng

Jorge Fonseca

Soo Yong Lau

Woon Liang Soh

Gary A Chappell

Ronald Danehy

Ming Song Chen

Geoffrey Dahlhoff

Ted Straub

Thiam Chye Lee

Jeff Dere

A computer-implemented method of generating a digital polymerase chain reaction (dPCR) result is provided. The method includes detecting a first set of emission data from a plurality of samples, each included in a sample region of a plurality of sample regions, at a first time amplification during an amplification period. The method further includes determining a positive or negative amplification determination for each sample of the plurality of samples based in part on the first set of emission data. A dPCR result is generated based on the positive or negative amplification determinations for the plurality of samples.

Methods and systems for visualizing and evaluating data

A biological analysis system is provided. The system comprises an interchangeable assembly configured to accommodate any one of a plurality of sample holders, each respective sample holder configured to receive a plurality of samples. The system also includes a control system configured to cycle the plurality of samples through a series of temperatures. The system further includes an optical system configured to detect fluorescent signals emitted from the plurality of samples. The optical system, in particular, can comprise a single field lens, an excitation source, an optical sensor, and a plurality of filter components. The excitation source can be one or more light emitting diodes. The field lends can be a bi-convex lens.

Systems and methods for biological analysis

A computer-implemented method of generating a digital polymerase chain reaction (dPCR) result is provided. The method includes detecting a first set of emission data from a plurality of samples, each included in a sample region of a plurality of sample regions, at a first time during an amplification period. The method further includes determining a positive or negative amplification determination for each sample of the plurality of samples based in part on the first set of emission data. A dPCR result is generated based on the positive or negative amplification determinations for the plurality of samples.

The present teachings relate to embodiments of systems and methods for the analysis of melt curve data for a plurality of samples. According to various embodiments, a melting temperature (T) may be determined across a range of different types of protein melt curve data, having variability over a plurality of analytical attributes in order to accommodate the complexity of protein melt curve data. The combination of a plurality of samples, coupled with the complexity of the data gives rise for a need to process the data in a manner that readily facilitates end-user to analysis of the data. Various embodiments of an interactive graphical user interface (GUI) according to the present teachings provide for rapid and sequential changes that may be made by an end user to displayed protein melt curve data to allow such analysis.

Systems and methods for the analysis of protein melt curve data

Growing community of inventors

Singapore, Singapore

Ruoyun Wu