Abstract: 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.

Abstract: A computer-implemented method of generating a digital polymerase chain reaction (dPCR) result is provided. The method includes detecting of emission data from a planiality of samples, each included in a sample region of a plurality of sample regions, at a first time 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 amplification determinations for the plurality of samples.

Abstract: 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.

Abstract: 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.

Abstract: 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 (Tm) 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.

Abstract: 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 (Tm) 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.

Abstract: 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.

Abstract: 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 lens can be a bi-convex lens.

Abstract: 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 (Tm) 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.

Abstract: Systems and methods for assigning attributes to a plurality of samples are provided. An exemplary system includes an instrument configured to perform an experiment on a plurality of samples in a multi-sample support device and to produce a plurality of measured values. The system further includes a computer system in communication with the instrument. The computer system is configured to receive the plurality of measured values from the instrument, store the plurality of measured values in a memory configured as a grid of cells representing the grid of the multi-sample support device, display the grid of cells in a graphical user interface, receive a selected cell from the graphical user interface, receive two or more attribute values for the selected cell from the graphical user interface, and store the two or more assigned attribute values along with a measured value of the selected cell in the memory configured as a grid of cells.