Abstract: Provided herein are methods, systems, and devices for detecting and/or identifying one or more specific microorganisms in a culture sample. Indicator particles, such as surface enhanced Raman spectroscopy (SERS)-active nanoparticles, each having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest, can form a complex with specific microorganisms in the culture sample. Further, agitating magnetic capture particles also having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest can be used to capture the microorganism-indicator particle complex and concentrate the complex in a localized area of an assay vessel for subsequent detection and identification. The complex can be dispersed, pelleted, and redispersed so that the culture sample can be retested a number of times during incubation so as to allow for real-time monitoring of the culture sample.

Abstract: Provided herein are methods, systems, and devices for detecting and/or identifying one or more specific microorganisms in a culture sample. Indicator particles, such as surface enhanced Raman spectroscopy (SERS)-active nanoparticles, each having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest, can form a complex with specific microorganisms in the culture sample. Further, agitating magnetic capture particles also having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest can be used to capture the microorganism-indicator particle complex and concentrate the complex in a localized area of an assay vessel for subsequent detection and identification. The complex can be dispersed, pelleted, and redispersed so that the culture sample can be retested a number of times during incubation so as to allow for real-time monitoring of the culture sample.

Abstract: Provided herein are methods, systems, and devices for detecting and/or identifying one or more specific microorganisms in a culture sample. Indicator particles, such as surface enhanced Raman spectroscopy (SERS)-active nanoparticles, each having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest, can form a complex with specific microorganisms in the culture sample. Further, agitating magnetic capture particles also having associated therewith one or more specific binding members having an affinity for the one or more microorganisms of interest can be used to capture the microorganism-indicator particle complex and concentrate the complex in a localized area of an assay vessel for subsequent detection and identification. The complex can be dispersed, pelleted, and redispersed so that the culture sample can be retested a number of times during incubation so as to allow for real-time monitoring of the culture sample.

Abstract: Systems and methods for calculating an initial amount of target nucleic acid N0 in a sample are provided. A plurality of fluorescent measurements is received. Each respective fluorescent measurement FSn is taken in a different cycle n in a PCR amplification experiment of the sample. Then, a model for the PCR amplification experiment is computed. For each respective fluorescent measurement, the model comprises a respective equation for Nn, where (i) Nn is the calculated amount of the target nucleic acid in cycle n of the corresponding PCR amplification experiment, and (ii) the equation for Nn is expressed in terms of K and N0, where K is the Michaelis-Menton constant. The model can be refined by adjusting K and N0 until differences between model values Nn and corresponding fluorescent measurements are minimized, thereby calculating the initial amount of a target nucleic acid N0 as the minimized value for N0 for the model.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: Systems and methods for calculating an initial amount of target nucleic acid N0 in a sample are provided. A plurality of fluorescent measurements is received. Each respective fluorescent measurement FSn is taken in a different cycle n in a PCR amplification experiment of the sample. Then, a model for the PCR amplification experiment is computed. For each respective fluorescent measurement, the model comprises a respective equation for Nn, where (i) Nn is the calculated amount of the target nucleic acid in cycle n of the corresponding PCR amplification experiment, and (ii) the equation for Nn is expressed in terms of K and N0, where K is the Michaelis-Menton constant. The model can be refined by adjusting K and N0 until differences between model values Nn and corresponding fluorescent measurements are minimized, thereby calculating the initial amount of a target nucleic acid N0 as the minimized value for N0 for the model.

Abstract: A system comprising one or more sample vessels is provided, the sample vessels comprising a liquid growth medium and a stirrer element, the stirrer element capable of being influenced by a magnetic force, and an incubation and measurement module comprising one or more openings for holding the one or more sample vessels. The incubation and measurement module further comprises at least two drive magnets associated with each of the sample vessels, and a magnet driver adapted to repeatedly move each of the at least two drive magnets toward and away from the surface of the associated sample vessel.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: The present invention comprises one or more microprocessors programmed to execute methods for improving the performance of an analyte monitoring device including prediction of glucose levels in a subject by utilizing a predicted slower-time constant (1/k2). In another aspect of the invention, pre-exponential terms (1/c2) can be used to provide a correction for signal decay (e.g., a Gain Factor). In other aspects, the present invention relates to one or more microprocessors comprising programming to control execution of (i) methods for conditional screening of data points to reduce skipped measurements, (ii) methods for qualifying interpolated/extrapolated analyte measurement values, (iii) various integration methods to obtain maximum integrals of analyte-related signals, as well as analyte monitoring devices comprising such microprocessors.

Abstract: A varistor includes a Bi-free, essentially homogeneous sintered body of a ceramic composition including, expressed as nominal weight %, 0.2-4.0% oxide of at least one rare earth element, 0.5-4.0% Co.sub.3 O.sub.4, 0.05-0.4% K.sub.2 O, 0.05-0.2% Cr.sub.2 O.sub.3, 0-0.2% CaO, 0.00005-0.01% Al.sub.2 O.sub.3, 0-2% MnO, 0-0.05% MgO, 0-0.5% TiO.sub.3, 0-0.2% SnO.sub.2, 0-0.02% B.sub.2 O.sub.3, balance ZnO.