8342 results about "Test sample" patented technology

An analytical test device useful for example in pregnancy testing, comprises a hollow casing (500) constructed of moisture-impervious solid material, such as plastics materials, containing a dry porous carrier (510) which communicates indirectly with the exterior of the casing via a bibulous sample receiving member (506) which protrudes from the casing such that a liquid test sample can be applied to the receiving member and permeate therefrom to the porous carrier, the carrier containing in a first zone a labelled specific binding reagent is freely mobile within the porous carrier when in the moist state, and in a second zone spatially distinct from the first zone unlabelled specific binding reagent for the same analyte which unlabelled reagent is permanently immobilised on the carrier material and is therefore not mobile in the moist state, the two zones being arranged such that liquid sample applied to the porous carrier can permeate via the first zone into the second zone, and the device incorporating means, such as an aperture (508) in the casing, enabling the extent (if any) to which the labelled reagent becomes bound in the second zone to be observed. Preferably the device includes a removable cap for the protruding bibulous member.

Diffractive pigment flakes are selectively aligned to form an image. In one embodiment, flakes having a magnetic layer are shaped to facilitate alignment in a magnetic field. In another embodiment, the flakes include a magnetically discontinuous layer. In a particular embodiment, deposition of nickel on a diffraction grating pattern produces magnetic needles along the grating pattern that allow magnetic alignment of the resulting diffractive pigment flakes. Color scans of test samples of magnetically aligned flakes show high differentiation between illumination parallel and perpendicular to the direction of alignment of the magnetic diffractive pigment flakes.

An improved electrochemical sensor having a base bearing a working and counter electrode which provides a flow path for a fluid test sample. The working and counter electrodes are configured so that a major portion of the counter electrode is located downstream on the flow path from the working electrode with the exception of a small sub-element of the counter electrode which is in electrical communication with the primary portion of the counter electrode and located upstream of the working electrode. This configuration enables the sensor when the capillary space is incompletely filled with test fluid.

The invention provides methods and compositions for hybridization-based assays that employ oligonucleotide tags, wherein probes specific for the same target polynucleotide are labeled with a plurality of different oligonucleotide tags. When probes are used in conjunction with a microarray, or like, readout platform, containing hybridization sites of tag complements, assay of a target polynucleotide results in a signal being generated from any of a plurality hybridization sites with predetermined addresses and the number of such sites generating a signal is proportional to the relative amount of the target polynucleotide in a population, test sample, or reaction volume, as the case may be. The invention provides methods and compositions for measuring amounts of selected target polynucleotides in a sample and for providing a digital readout of such amounts. Statistical confidence in measurements made by the present invention may be increased as much as desired by increasing the size of the sample of successfully hybridized and selected probes from which signals are generated.

An analyte test sensor for use in measuring the concentration of a particular analyte in a test sample includes a non-conductive substrate, a reference electrode deposited on the substrate, a working electrode deposited on the substrate and a compensation electrode deposited on the substrate. The compensation electrode is provided with a resistive ladder and is designed to correct for test result inaccuracies which are the result of variances in the manufacturing of the test sensor. Specifically, in one embodiment, the compensation electrode corrects for test result inaccuracies in an analog manner by shunting a portion of the working current away from working electrode. In another embodiment, the compensation electrode corrects for test result inaccuracies in a digital manner by providing a calibration code which is proportional its resistance value. A batch of analyte test sensors are preferably manufactured in the following manner. An initial batch of the test sensors is constructed. Then, a limited sampling of the sensors is tested for accuracy using a control sample. Based on the test results, the resistance value of the compensation electrode for each remaining sensor in the batch is adjusted accordingly.

A method and apparatus are provided for correcting ambient temperature effect in biosensors. An ambient temperature value is measured. A sample is applied to the biosensors, then a current generated in the test sample is measured. An observed analyte concentration value is calculated from the current through a standard response curve. The observed analyte concentration is then modified utilizing the measured ambient temperature value to thereby increase the accuracy of the analyte determination. The analyte concentration value can be calculated by solving the following equation:where G1 is said observed analyte concentration value, T2 is said measured ambient temperature value and I1, I2, S1, and S2 are predetermined parameters.

A system for automating the quality evaluation of a translation. The system may include a computer having a processor and memory device operably connected to one another. A source text in a first language may be stored within the memory device. A target text comprising a translation of the source text into a second language may also be stored within the memory device. Additionally, a plurality of executables may be stored on the memory device and be configured to, when executed by the processor, independently identify a test sample comprising one or more blocks, each comprising a matched set having a source portion selected from the source text and a corresponding target portion selected from the target text.

Analysis of networks and testing and analyzing intelligent, network connected devices. An instantaneous network utilization value is assigned for the worst surviving ping instance of between 90% and 99% (determined proportionately from the ratio of dropped test samples to surviving test samples), and then used to solve for average network message size and average utilization of the network. A plurality transactions of different types are transmitted across the network to intelligent end systems and the results mathematically evaluated to determine the portion of the total response time contributed by the network and by the end processors; the utilization of the end processor processing subsystems and of the end processor I/O subsystems; and the utilization of the end system as a whole; and of the network and end processors considered as a unitary entity. Steps include determining utilization of the network when test packets are dropped by the network; utilization of intelligent processor and other devices attached to the network when test transactions are dropped, and when not dropped; and response time for remote processes at both the network and processor level.

The present invention relates among other things to methods for scoring one or more biomarkers in or associated with a test sample and determining a subject's risk of developing a medical condition.

The invention discloses a probe set for detecting whole exons of extended genetic diseases. The probe set for detecting the whole exons of the extended genetic diseases comprises a standard whole exonprobe set, a whole genome copy number variation probe, and a mitochondrial loop full-length probe, and the genetic diseases comprise 6161 genetic diseases; the standard whole exon probe set can detect the genetic diseases caused by whole exon mutation, the genetic diseases comprise nervous system diseases, metabolic system diseases, endocrine system diseases, digestive system diseases, skeletal system diseases, urinary system diseases, immune system diseases, cardiovascular system diseases, blood system diseases, integument system diseases, ophthalmic system diseases, ear system diseases, respiratory system diseases, and genital system diseases; and the density of the mitochondrial probe is 6X; test samples comprise blood, fresh tissue, FFPE samples, and saliva. The invention discloses using method and kit and application of the probe set for detecting the whole exons of the extended genetic diseases.

The present invention relates to methods for the diagnosis, evaluation, and treatment of mood disorders, particularly bipolar disorder. In particular, patient test samples are analyzed for the presence and amount of members of a panel of biallelic markers comprising one or more specific markers for bipolar treatment and one or more non-specific markers for bipolar treatment. A variety of markers are disclosed for assembling a panel of markers for such diagnosis and evaluation. Algorithms for determining proper treatment are disclosed. A diagnostic kit for a panel of said markers is disclosed. In various aspects, the invention provides methods for the early detection and differentiation of mood disorders or bipolar treatment. Methods for screening therapeutic compounds for mood disorders are disclosed. The invention (1) gives methods providing rapid, sensitive and specific assays that can greatly increase the number of patients that can receive beneficial treatment and therapy, thereby reducing the costs associated with incorrect diagnosis, and (2) provides methods for improved therapies.

The present invention relates to methods for the diagnosis and evaluation of cardiovascular illness, particularly stroke, myocardial and other cardiovascular damage damage, hypertension treatment. In particular, patient test samples are analyzed for the presence and amount of members of a panel of markers comprising one or more specific markers for cardiovascular illness or hypertension treatment and one or more non-specific markers for cardiovascular illness or hypertension treatment. A variety of markers are disclosed for assembling a panel of markers for such diagnosis and evaluation. Algorithms for determining proper treatment are disclosed. A diagnostic kit for a panel of said markers is disclosed. In various aspects, the invention provides methods for the early detection and differentiation of cardiovascular illness or hypertension treatment. Invention methods provide rapid, sensitive and specific assays that can greatly increase the number of patients that can receive beneficial treatment and therapy, reduce the costs associated with incorrect diagnosis, and provide important information about the prognosis of the patient.

The invention discloses a depth image human body joint positioning method based on a convolution nerve network. The method is characterized by comprising a training process and an identification process. The training process comprises the following steps: 1, inputting a training sample; 2, initializing a deep convolution nerve network and its parameters, wherein the parameters comprise a weight and a bias of each layer edge; and 3, by use of a forward algorithm and a backward algorithm, learning the parameters of the constructed convolution nerve network. The identification process comprises the following steps: 4, inputting a test sample; and 5, performing regression on the input test sample by use of the trained convolution nerve network to find positions of human body joints. According to the invention, by use of the deep convolution nerve network and large data, multiple challenges such as shielding, noise and the like can be resisted, and the accuracy is quite high; and at the same time, by means of parallel calculation, the effect of accurately positioning the human body joints in real time can be realized.

A method for determining an unknown starting quantity of a target nucleic acid sequence in a test sample comprises amplifying the unknown starting quantity of the target nucleic acid sequence in the test sample and known starting quantities of a calibration nucleic acid sequence in respective calibration samples; and determining a respective threshold value for each of the nucleic acid sequences using a derivative of a growth curve derived for the sequence. The starting quantity of the target nucleic acid sequence in the test sample is determined using the threshold value determined for the target sequence and a calibration curve derived from the threshold values determined for the known starting quantities of the calibration nucleic acid sequences.

The present invention pertains to a portable apparatus for quantitatively measuring the concentration of specific substances in test samples of a lateral flow or microplate assay in medical, biomedical and chemical applications, and for making subsequent analysis and diagnosis. The portable apparatus includes a sample tray for carrying and aligning the test sample in the apparatus; a enclosure that may also serves as the frame of the apparatus; a digital image acquisition system that is used to obtain the digital image of the test sample on the sample tray; and a data display, processing, and analysis unit that is a general purpose or dedicated computer, such as a handheld computer (HHC), a pocket personal computer (PPC), a personal digital assistant (PDA), a palm-top computer, a laptop computer, or a dedicated microprocessor and associated hardware, for measuring the concentration of specific substances in the test sample, and making subsequent analysis and diagnosis, based on the measurement, statistical data, prior knowledge and mathematical model. The stated enclosure and frame, the digital image acquisition system, and the data display, processing and analysis unit are integrated to form the portable apparatus for various applications. The integrated apparatus of this invention, with a possible name—Portable Intelligent Multi-Diagnoser (PIMD), thus forms a portable and multiple-purpose tool for measuring the concentration of specific substances in test samples, and making subsequent analysis and diagnosis in a variety of settings, such as a mobile site, point of care or near patient care, and small laboratories.

The present invention relates generally to methods and compositions for analyzing test samples containing target analytes including proteins and nucleic acids. The invention uses a surface acoustic wave sensor in combination with a hydrogel to obtain an ultra sensitive non-fluorescent detection system.

The invention discloses a semi-supervised image classification method based on a generative adversarial network, which mainly solves the problems that the existing unsupervised learning classificationprecision is low and semi-supervised learning needs a large number of accurate labels, and comprises the following implementation steps of: 1) selecting and downloading a standard image training sample and a test sample; 2) setting relevant parameters of network supervised learning, and establishing a generative adversarial network consisting of a generator network, a discriminator network and anauxiliary classifier in parallel; 3) training the generative adversarial network by using a random gradient descent method; and 4) inputting the test sample to be classified into the trained generative adversarial network model, and outputting the category of the image to be detected. The method improves the image classification precision of unsupervised learning, can obtain a very good image classification effect on a sample set only containing a small amount of accurate annotation samples, and can be used for target classification in an actual scene.

A flow-through assay device for detecting the presence or quantity of an analyte residing in a test sample is provided. The device utilizes a detection zone and compensation zone within which are immobilized capture reagents. The present inventor has discovered that the presence of a compensation zone may enable the detection of an analyte over extended concentration ranges. In particular, the compensation zone facilitates the binding of probes that would otherwise bind within the interior of assay device or that would exhibit “self-quenching.”

The present invention is directed to a method for separating, characterizing and/or identifying microorganisms in a test sample. The method of the invention comprises an optional lysis step for lysing non-microorganism cells that may be present in a test sample, followed by a subsequent separation step. The method may be useful for the separation, characterization and/or identification of microorganisms from complex samples such as blood-containing culture media. The invention further provides methods for separating, characterizing and/or identifying microorganisms in situ within a single system.

A method for automatically providing for classification of samples at the input station of a clinical laboratory workcell and allowing only those samples that have centrifuging requirements which are satisfied by currently established centrifuge operating protocols to be processed by a centrifuge and by an analyzer associated with said workcell.

There is provided a lateral flow assay device for detecting the presence or quantity of an analyte residing in a test sample where the lateral flow assay device has a porous membrane in communication with a conjugate pad and a wicking pad. The porous membrane has a detection zone where a test sample is applied and which has an immobilized first capture reagent configured to bind to at least a portion of the analyte and analyte-conjugate complexes to generate a detection signal. The control zone is located downstream from the detection zone on the porous membrane and has a second capture reagent immobilized within the control zone. The conjugate pad is located upstream from the detection zone, and has detection probes with specific binding members for the analyte. A buffer release zone is located upstream of the conjugate zone and provides for buffer addition to the device, the buffer serving to move the detection probes to the detection and control zones.

The invention discloses a remote sensing image classification method based on multi-feature fusion, which includes the following steps: A, respectively extracting visual word bag features, color histogram features and textural features of training set remote sensing images; B, respectively using the visual word bag features, the color histogram features and the textural features of the training remote sensing images to perform support vector machine training to obtain three different support vector machine classifiers; and C, respectively extracting visual word bag features, color histogram features and textural features of unknown test samples, using corresponding support vector machine classifiers obtained in the step B to perform category forecasting to obtain three groups of category forecasting results, and synthesizing the three groups of category forecasting results in a weighting synthesis method to obtain the final classification result. The remote sensing image classification method based on multi-feature fusion further adopts an improved word bag model to perform visual word bag feature extracting. Compared with the prior art, the remote sensing image classification method based on multi-feature fusion can obtain more accurate classification result.

The invention provides an SAR image terrain classification method based on a depth RBF network. The method mainly solves the problem of the prior art that the accuracy of classification is low. The method comprises the steps of (1) extracting the texton features of an SAR image; (2) training the texton features of the SAR image through a first-layer RBF neural network of the depth RBF network to obtain the advanced features of the image; (3) training the advanced features through a second-layer sparse autocoder network SAE of the depth RBF network to obtain more advanced features of the image; (4) training the more advanced features through a third-layer RBF neural network of the depth RBF network to obtain the terrain classification features of the image; (5) comparing the terrain classification features of an image test sample with a test sample label, adjusting the parameters of each layer of the depth RBF network, and obtaining an optimal test classification accuracy. The method is high in classification accuracy and can be used for complicated image classification.

The present invention is directed to a method for separating, characterizing and/or identifying microorganisms in a test sample. The method of the invention comprises an optional lysis step for lysing non-microorganism cells that may be present in a test sample, followed by a subsequent separation step. The method may be useful for the separation, characterization and/or identification of microorganisms from complex samples such as blood-containing culture media. The invention further provides for interrogation of the separated microorganism sample by mass spectrometry to produce a mass spectrum of the microorganism and characterizing and/or identifying the microorganism in the sample using the mass spectrum obtained.

The present invention discloses a 3D (three-dimensional) convolutional neural network based human body behavior recognition method, which is mainly used for solving the problem of recognition of a specific human body behavior in the fields of computer vision and pattern recognition. The implementation steps of the method are as follows: (1) carrying out video input; (2) carrying out preprocessing to obtain a training sample set and a test sample set; (3) constructing a 3D convolutional neural network; (4) extracting a feature vector; (5) performing classification training; and (6) outputting a test result. According to the 3D convolutional neural network based human body behavior recognition method disclosed by the present invention, human body detection and movement estimation are implemented by using an optical flow method, and a moving object can be detected without knowing any information of a scenario. The method has more significant performance when an input of a network is a multi-dimensional image, and enables an image to be directly used as the input of the network, so that a complex feature extraction and data reconstruction process in a conventional recognition algorithm is avoided, and recognition of a human body behavior is more accurate.

Drift compensation systems and methods are presented for compensating the drift of a sensor within a manufacturing lot. The system comprises a sensor test sample manufactured from a lot of material having substantially similar chemical or metallurgical properties, a drift characterization tester, wherein the test sample is exposed to a predetermined thermal environment. Measurements of the test sample output are analyzed to provide a drift function describing the relationship between time and temperature from the thermal exposure measurements of the test sample in the drift characterization tester. Parameters associated with the drift function and the sensor test sample are stored in a memory storage component associated with a second sensor. The second sensor is manufactured from the same lot of material as the sensor test sample. A sensor system is manufactured comprising the second sensor and the memory storage component. A drift compensation instrument coupleable to the second sensor and the memory storage component of the sensor system is operable to retrieve the stored parameters of the drift function from the memory storage component and correct the output of the second sensor based on the drift function, thereby compensating the output drift of the sensors manufactured from the same lot of material.

The present disclosure describes methods and compositions for diagnosing or predicting likelihood of a OSCC recurrence in a subject having undergone OSCC resection comprising: a) determining an expression level of one or more biomarkers selected from Table 4, 5 and/or 7, optionally MMP1, COL4A1, THBS2 and/or P4HA2 in a test sample from the subject, the one or more biomarkers comprising at least one of THBS2 and P4HA2, and b) comparing the expression level of the one or more biomarkers with a control, wherein a difference or a similarity in the expression level of the one or more biomarkers between the test sample and the control is used to diagnose or predict the likelihood of OSCC recurrence in the subject In particular, the present disclosure describes methods and compositions using a four-gene biomarker signature that can predict recurrence of oral squamous cell carcinoma in subjects that have histologically normal surgical resection margins.

The invention provides a fault diagnosis method for a rolling bearing based on a deep learning and SVM (Support Vector Machine). The method comprises using a manure learning algorithm in a deep belief network theory to complete a characteristic extraction task needed by fault diagnosis; automatically extracting the substantive characteristics of data input independent of manual selection from simple to complicate, from low to high, and automatically digging abundant information concealed in known data; in addition, classifying and identifying a test sample by adopting an SVM classification method, seeking and finding a global minimum of a target function through an effective method previously designed, so as to solve the problem that a deep belief network may be trapped into a locally optimal solution. According to the fault diagnosis method for the rolling bearing based on the deep learning and SVM provided by the invention, the accuracy and effectiveness of the fault diagnosis method for a rolling bearing can be improved, and a new effective way can be provided to solve the accuracy and effectiveness of the fault diagnosis method, therefore the fault diagnosis method can be extensively applied complex systems in chemistry, metallurgy, electric power, aviation fields and the like.

Circuits, systems and techniques for testing a One-Time Programmable (OTP) memory are disclosed. An extra OTP bit can be provided as a test sample to be programmed. The programmed extra OTP bit can be read with any virgin cells in the OTP memory alternatively to generate a stream of logic 0 and logic 1 data so that every row or column path can be tested and the outcome can be observed in a pseudo-checkerboard pattern or other predetermined pattern. By carefully setting control signals, checkerboard-like pattern can be generated without actual programming any OTP cells in the memory array.

This invention relates generally to devices and methods for performing optical and electrochemical assays and, more particularly, to test devices, e.g., cartridges, methods and systems, wherein the test devices have an entry port configured to receive a test sample into a holding chamber; a first conduit having at least one lateral flow test strip; and a displacement device, such as a pneumatic pump, configured to move a portion of said test sample from said holding chamber into said first conduit. The present invention is particularly useful for performing immunoassays and/or electrochemical assays at the point-of-care.