51 results about "Multiparametric Analysis" patented technology

A highly sensitive assay is disclosed which utilizes a method for gene specific primed amplification of mRNA libraries from rare cells and rare transcripts found in blood. The assay allows detection of rare mRNA (10 copies / cell) found in 1 to 10 cells isolated through immunomagnetic enrichment. The assay is an improvement over multiplex PCR and allows efficient detection of rare coding sequences for circulating carcinoma cells in the blood. The methods are useful in profiling of cells isolated from tissues or body fluids and serves as an adjunct to clinical diagnosis of diverse carcinomas including early stage detection and classification of circulating tumor cells. Monitoring of nucleic acid and protein profiles of cells either in conventional or microarray formats, facilitates management of therapeutic intervention including staging, monitoring response to therapy, confirmation of remission and detection of regression.

The present invention provides multi-parameter analysis methods for determining the presence or absence of pre-cancerous or cancerous cells in a cervical sample and for screening cervical abnormality in a cervical sample. The invention also provides an apparatus and automated methods for screening cervical abnormality in a sample. The invention further provides a sampling device and a sample collection assembly for collecting cell samples, including cervical samples.

An apparatus for diagnosing sleep disorders such as OASHS from snore sounds includes a segmentation module (126) coupled to a data logger (124) to provide segments of the digitized audio signal to a Snore Segment Identifier (128). A total airways response (TAR) module (130), pitch calculator (132) and MFCC calculator (134) are each coupled to an output side of the snore segment identifier module (128). Each of these modules is respectively arranged to calculate pitch, bispectrum, diagonal slice and MFCC parameters for the snore segments received from the snore segment identifier (128). Similarly, the NGI calculator (136) produces a non-Gaussianity index for the digitized audio signal. A classification module (144) is arranged to process the calculated parameters and compare a resulting diagnosis probability to a predetermined threshold value. The results of this comparison are then indicated on video display (142), which communicates with the classification module (133) via display controller (140) and bus (145). For example, if the results of the comparison are over threshold then display (142) is driven to indicate “OS AHS is present”.

The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules.

The invention discloses an on-line failure diagnosis, prediction and feedback control method of a small / medium size gas turbine and a device thereof, being used for carrying out on-line analysis on parameters representing running states of the gas turbine. The method comprises the following steps: adopting an artificial neural network (ANN) to analyze the operating characteristics of all working conditions of a gas turbine set; constructing an expert analysis database; adopting a fuzzy logic analysis block and combining a Kalman filtering module for failure isolation; constructing a multi-parameter analysis module to carry out on-line detection on the thermal performance and the running state of the gas turbine set; and finally, outputting the setting values of related control parameter by the on-line analysis on the parameters representing the running states of the gas turbine. A dynamic data processor (DSP) is adopted to cure the analysis means into a chip, and the invention can realize accurate evaluation of the states of parts in the gas turbine, improves the availability of equipment, prolongs time between overhaul, enhances the capability of preventing sudden failures and improves the operation level of the gas turbine on the basis of analysis technologies such as failure category, advanced failure analysis methods, failure experts and the like.

A microfluidic exosome profiling platform integrating exosome isolation and targeted proteomic analysis is disclosed. This platform is capable of quantitative exosomal biomarker profiling directly from plasma samples with markedly enhanced sensitivity and specificity. Identification of distinct subpopulation of patient-derived exosomes is demonstrated by probing surface proteins and multiparameter analyses of intravesicular biomarkers in the selected subpopulation. The expression of IGF-1R and its phosphorylation level in non-small cell lung cancer (NSCLC) patient plasma is assessed as a non-invasive alternative to the conventional biopsy and immunohistochemistry. Detection of ovarian cancer also is assessed. The microfluidic chip, which may be fabricated of a glass substrate and a layer of poly(dimethylsiloxane), includes a serpentine microchannel to mix a fluid and a microchamber for the collection and detection of exosomes.

The invention discloses a while-drilling multi-parameter analysis-based oil-gas-water identification method. The method comprises the steps that chromatography signals of oil-gas-water in a reservoir stratum are acquired while drilling so that chromatograms are obtained; the cross-correlation function of the oil-gas-water chromatography on a continuous shaft depth and a standard chromatography and water-oil-gas characteristic parameters are obtained according to the chromatograms; and the cross-correlation function is subjected to Fourier inversion to obtain cross-correlation coefficients of any two chromatograms, and reservoir stratums or depths corresponding to the oil-gas-water chromatography signals are identified according to the changing direction of upper-and-lower-layer oil-gas-water features which are reflected by the amplitudes of the cross-correlation coefficients. According to the while-drilling multi-parameter analysis-based oil-gas-water identification method, gasometry chromatography is characterized in that the position of each component is known qualitatively after separation, and the chromatograms are regarded as spectrograms for analogy-analysis and calculation of correlations among the chromatograms and the three characteristic parameters representing the oil-gas-water features; reservoir stratum fluid features can be effectively identified; and the method especially has a very good effect for aquosity.

The invention relates to a measuring chip cartridge module (5) for carrying out mobile multiparameter analyses of chemical and / or biological substances, comprising . a sample inlet (13) for introducing a sample substance into the measuring chip cartridge module (5) from the outside, . at least one reagent inlet separate from said sample inlet for introducing reagents into the measuring chip cartridge module from the outside, . a measuring chip (7) with a surface which is provided for the sample analysis and which at least partly delimits an analysis cell with two openings such that a fluid surrounding the sample substance can reach the analysis cell through a first opening for the purpose of a sample analysis, and . a channel system (10) in which the sample substance can be transported from the sample inlet to the analysis cell and in which the reagents can be transported from the at least one reagent inlet to the analysis cell, wherein . the channel system (10) does not have any solid reagents, preferably no substances other than air and / or protective gas, before the sample substance is introduced via the sample inlet and / or before the reagents are introduced via the at least one reagent inlet. The invention further relates to a system consisting of such a replaceable cartridge module and a likewise replaceable reagent storing and processing module and to a method for carrying out sample analyses in said system.

Provided is a cell separating method which suppresses physical damage to cells without using an apparatus having a complicated structure, and enables the cell separation performed by a quantitative analysis and a multi-parametric analysis and the cell separation using Hoechst staining or the like as an index.The present invention provides a cell separating method including a step (S3) of determining the characteristics of a cell labeled with a caged compound; a step (S4) of activating the caged compound labeling a target cell by emitting light only to the target cell having a predetermined characteristic; and a step (S5) of bringing cells into contact with a substance having an affinity with the activated caged compound and separating only the target cell from the cells based on the interaction between the substance and the activated caged compound.

The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules. The invention additionally provides a method of classifying a population by drug responsiveness.

The invention relates to novel methods of detecting alterations in cell cycle regulation in a cell or a cell population and screening for agents capable of modulating cell cycle regulation through the use of multiparameter assays and a fluorescence-activated cell sorter (FACS) machine.

A system for multiparametric analysis includes a substrate and a three-dimensional (3D) cell aggregate. The substrate has a major surface and includes at least one radial electrode array. The 3D cell aggregate is disposed on the major surface of the substrate. The 3D cell aggregate has a longitudinal surface at least a portion of which covers one or more of the electrodes of the radial electrode array.

The invention discloses a tumor cell drug resistance detecting chip, which comprises a chip body. The surface of the chip body is provided with a medicament inlet, a culture solution inlet and a cell inlet; a medicament passage and a culture solution passage are arranged in the chip body; a radial aggregation passage is arranged at a position where the medicament passage and the culture solution passage meet; the radial end of the aggregation passage is communicated with a plurality of pipelines; each pipeline is separated into small pipes; a cell pool is arranged on each small pipe; the other end of each pipeline and the other end of each small pipe are connected with a cell inlet passage which is communicated with the cell inlet; the lower part of the cell pool is provided with a pH indicating layer; a carbon dioxide permeable membrane is arranged between the cell pool and the pH indicating layer; and an acid-base indicator is placed in the pH indicating layer. The tumor cell drug resistance detecting chip has a simple structure and can simulate blood capillaries in vivo and complete multi-parameter analysis related to a multiple drug resistance mechanism.

A microfluidic exosome profiling platform integrating exosome isolation and targeted proteomic analysis is disclosed. This platform is capable of quantitative exosomal biomarker profiling directly from 30 μL plasma samples within approximately 100 minutes with markedly enhanced sensitivity and specificity. Identification of distinct subpopulation of patient-derived exosomes is demonstrated by probing surface proteins and multiparameter analyses of intravesicular biomarkers in the selected subpopulation. The expression of IGF-1R and its phosphorylation level in non-small cell lung cancer (NSCLC) patient plasma is assessed, as a non-invasive alternative to the conventional biopsy and immunohistochemistry. The microfluidic chip, which may be fabricated of a glass substrate and a layer of poly(dimethylsiloxane), can include a first capture chamber, a second capture chamber, a serpentine microchannel, a first microchannel, a second microchannel, a sample inlet, a buffer inlet, a bead inlet, at least a first connector channel, and a reagent inlet.

Disclosed is a method for the measurement of a cellular process, or for the measurement of the effect of a test compound on a cellular process, in one or more different populations of cells. The method comprises providing separate samples of one or more different populations of cells adhering to support particles, the support particles comprising a scintillant substance and being adapted for cell growth. In one embodiment, different samples of cells are introduced into separate reaction vessels in a fluid medium, together with a reagent labelled with a radioisotope, in the presence or the absence of the test compound, under conditions so as to cause a portion of said radiolabelled reagent to become associated with the cells. In another embodiment, multiparameter analysis may be performed to determine the effect of a test compound on a cellular process using two or more different cell populations present in the same well. Measurement of the cellular process, or the effect of a test compound on a cellular process may be made by detecting light emission from the scintillant particles caused by radioactive decay of the radioisotope.

The invention relates to a large forging concentricity detecting device based on distance measuring principles, which comprises a laser detecting device, a detection driving device, a control processing device and a display device, wherein the laser detecting device is mainly composed of a Z-shaped frame and five laser distance measuring instruments; the detection driving device is mainly composedof a base, a bracket, a first cross frame, a second cross frame and three servo motors; the laser detecting device comprises a right-angle Z-shaped frame and five laser distance measuring instruments; the detection driving device is used for realizing the switching between a non-detection position and a detection position; the control processing device is used for sending control signals to the five laser distance measuring instruments and the three servo motors, receiving distance information collected by the five laser distance measuring instruments, and performing filtering, noise reduction, information separation, multi-parameter analysis and optimal center algorithm processing to obtain central position coordinates of a detected piece and the size and orientation of the central offset. The large forging concentricity detecting device is high in measurement speed and short in time required by the measurement, and the error of a concentricity result reaches 1mm.

The invention discloses a robust determining method of the multi-input-multi-output aircraft equivalence pilot-aircraft closed loop characteristic, which is used for solving the problem that the change of a plurality of parameters at the same time is difficult to express and noise is not considered in the traditional aircraft pilot-aircraft closed loop characteristic determining method. The invention adopts the technical scheme which comprises the following steps of: decomposing the characteristics of the frequency matrix of a multi-input-multi-output system; and connecting the frequency matrix and a pilot-aircraft model in series to obtain an expression of the robust stability. The influence of the static gain, the inherent time delay characteristic, the lead compensation time constant and the pilot lag compensation time constant in a pilot link on the stability margin of the system can be directly determined by a multi-parameter analysis method according to the expression, so that whether the aircraft pilot-aircraft characteristic can meet the requirement on the country army standard stability margin or not is judged.

Our invention disclosures a biodosimeter and method of measurements a dose of radiation and / or biological-chemical substances absorbed by human or animal body, microbes, plants. The invention describes a multiparametric analysis system to evaluate biochemical and physical patterns related to a range of doses of radiation and / or biological-chemical substances following exposure of human body by radiation and / or biological-chemical substances. In our invention we also propose to use a method of plasmon enhancement by which intrinsic biomolecular targets within human body may increase their fluorescence QY close to unity, especially for the variety of biochemicals. The disclosed robust biodosimeter provides fast-response field applications to normal populations exposed to radiation and / or biological-chemical substances release, and to first-responders evaluating those normal populations.

Multiparametric analysis at the single cell level of biological samples obtained from an individual undergoing surgery is used to obtain a determination of changes in immune cell subsets, which changes include, without limitation, altered activation states of proteins involved in signaling pathways. Changes occur in signaling pathways of these immune cells that are predictive of the recovery status of the individual.

The invention relates to a big data detecting method based on multi-parameter analysis. The method comprises: a multi-parameter analysis-based big data detecting platform is used for determining the waiting time, required for arriving and entering a card swiping access control terminal, of a tourist at a preset position in a queue area in real time; the platform comprises a card swiping access control terminal, tourist information recording equipment, cable car speed detecting equipment and carrying tourist number analyzing equipment; the card swiping access control terminal is used for tourists to enter a cable car taking area from the queen area in the situation of swiping cable car tickets by the tourists; the cable car speed detecting equipment is arranged on a cable of the cable car and is used for detecting the current cable car speed; the carrying tourist number analyzing equipment is used for analyzing the average number of the tourists carried by a single cable car; the tourist information recording equipment is used for determining the number of the tourists waiting for the cable car in the cable car taking area based on the accumulated number of the tourists entering the car swiping access control terminal serving as an access control number and based on the number of the tourists entering the access control terminal, the current cable car speed and the average number of the tourists carried by the single cable car.

The invention discloses electrochemical test paper for rapid measurement of amylase as well as preparation and detection methods thereof. The electrochemical test paper comprises an insulating substrate, two independent detection systems arranged on the insulating substrate, a conductive film layer, a reaction film layer and a curing layer, wherein the detection system comprises a liquid guide groove body formed in the insulating substrate; the liquid guide groove body comprises a first liquid guide groove and a second liquid guide groove being independent of each other; the first liquid guidegroove is provided with a first sample inlet; the second liquid guide groove is provided with a second sample inlet; the conductive film layer is arranged on the insulating substrate; the conductivefilm layer comprises a first reference electrode, a first working electrode, a second reference electrode and a second working electrode being mutually insulated from one another; the reaction film layer comprises at least one electron mediator and at least one enzyme which reacts with a detected substance. The electrochemical test paper can be used in conjunction with a multi-parameter analyzer to rapidly and quantitatively detect amylase activity in blood or urine, and has the advantages of high sensitivity, accurate measurement results and convenience in use.

The invention provides a multipurpose data acquisition system. An intelligent multi-parameter analyzing device is formed by means of connecting different equipment, and the multipurpose data acquisition system can be used for acquiring various data in various fields of environmental protection, electric power, water conservancy, hospitals, schools and the like. The multipurpose data acquisition system comprises a power unit, an energy storage unit, a central control unit and an interface unit, the power unit is connected with an external power source, the energy storage unit is connected withthe power unit, stores electric energy during power connection of the power unit, and provides work power for the multipurpose data acquisition system when in power failure of the power unit, the central control unit is connected with the power unit and the energy storage unit, is powered by the power unit or the energy storage unit and monitors the power unit and the energy storage unit, and theinterface unit provides abundant interfaces for external equipment, and brings convenience for connection of various equipment so as to realize data acquisition and transmission.

The invention provides a portable functional color comparator comprising a sample bath, a plurality of measuring elements, a measuring element and an electronic system with a microprocessor, wherein the sample bath is used for containing liquid to be measured; the plurality of measuring elements are used for measuring the physical parameter and the electrochemical parameter of the liquid to be measured; the measuring element is used for colorimetric analysis; and the electronic system is used for reading the information of each measuring element, carrying out parameter analysis on a plurality of parameter values and simultaneously measuring a plurality of water-quality parameters and the concentration of one substance, thereby the measuring precision is improved.

The invention relates to a multi-parameter analysis colorimetric measurement device which comprises a colorimetric pool and light sources. The colorimetric pool is a solid cube, a groove containing a colorimetric ware is reserved in the middle of the colorimetric pool, slots are formed in the two adjacent side faces of the outer wall of the periphery of the colorimetric pool, the light sources of four different wave bands are embedded into the slots side by side, photoelectric detectors are installed in the centers of the other two adjacent side faces respectively, an optical channel corresponding to each light source is formed in the colorimetric pool, and the optical channels are converged at the groove and extend to the photoelectric detectors at the opposite side. The device provides 16 groups of wave lengths, by starting the light sources on different side faces and the photoelectric detectors, colorimetric detection, fluorescent detection, scattering detection and the like can be achieved, and detection of more than 100 detection items can be met.

There is described a system for multiparameter analysis of analytes. The system comprises: 1) primary supports (1) with a largest dimension (3) of 500 μm or less suspended in use in a fluid solution; 2) each primary support (1) comprises an identification means (2) for identification thereof; 3) at least one primary analyte (12) is bound to each primary support (1); 4) a secondary analyte (12′) is suspended in use in the fluid solution; and 5) a measuring means (25) is arranged in communication with the fluid solution for monitoring interaction between the primary analyte (12) and secondary analyte (12′). The system is distinguished in that: 6) secondary supports (1′) with a largest dimension at the most the same size as the largest dimension (3) of the primary supports (1) are suspended in use in the fluid solution; 7) each secondary support (1′) comprises an identification means (2′) for identification thereof; 8) at least one secondary analyte (12′) is bound to each of the secondary supports (1′); and 9) the measuring means (25) is arranged to detect any post-reaction interaction between one or more primary analyte (12) and one or more secondary analyte (12′) by detecting the identification means (2, 2′) of the primary and secondary supports (1, 1′) attached thereto. There is also described a method of multiparameter analysis of analytes using the system.

The present invention describes a method that is comprised of creating a set of synthetic samples that mimic a dynamic process or a specific process step or a variation thereof, to be used to develop multivariate monitoring calibrations and process supervisory control systems. In order to enhance calibration models accuracy and robustness the introduction of randomly spiked, programed spiked, random mixing and orthogonal experimental designed samples is also described. The new method works by using prior knowledge of dynamic processes expressed by their available data and quality control data and using such data to build mixtures profiles that can be used to build synthetic samples that mimic the process dynamics. A novel methodology to overcome calibration developments drawbacks of the prior art can be provided comprising designed synthetic multicomponent samples that mimic dynamic processes and using orthogonal design of experiments or random spikes or programed spikes or random mixing to enhance calibration models performance. With such multicomponent synthetic-samples which approximate accurately the matrix main components composition of real-samples we have demonstrated a novel use of PAT monitoring tools to estimate the dynamic process state (process supervision). The capability to derive multivariate process trajectories with multiparametric analysis of synthetic-samples prepared to span the multivariate design-space of a process allows for process supervisory control strategies to be established during process development and optimization.