18643 results about "Test sample" patented technology

A method for the analysis of DNA sequences and PCR products comprises the steps of constructing an oligonucleotide-labeled beadset, and labeled complementary probe, and exposing the beadset and probe to a DNA fragment or PCR product under hybridizing conditions and analyzing the combined sample / beadset by flow cytometry. Flow cytometric measurements are used to classify beads within an exposed beadset to determine the presence of identical or nonidentical sequences within the test sample. The inventive technology enables the rapid analysis of DNA sequences and detection of point mutations, deletions and / or inversions while also reducing the cost and time for performing genetic assays.

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.

Implants with hydrogel layers reinforced by three-dimensional fiber arrays can replace hyaline cartilage. Such implants should replace an entire cartilage segment, rather than creating a crevice around a plug, so these implants must be thin and flat, they must cover large areas, the tips of any tufts or stitches must not reach the hydrogel surface, and they must be flexible, for arthroscopic insertion. The use of computerized stitching machines to create such arrays enables a redesigned and modified test sample to be made with no delays, and no overhead or startup costs. This provides researchers with improved tools for making and testing implants that will need to go through extensive in vitro, animal, and human testing before they can be approved for sale and use. Fiber-reinforced hydrogels also can be secured to strong shape-memory rims, for securing anchoring to bones.

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.

A system and method for classifying tissue by application of discriminant analysis to spectral data. Spectra are recorded as amplitudes at a series of discrete wavelengths. Pluralities of reference spectra are recorded for specimens having known conditions. The reference spectra are subjected to discriminant analysis to determine wavelength regions of interest for the analysis. A plurality of amplitudes are selected for the analysis, and are plotted in an N-dimensional space. For each plurality of reference spectra corresponding to a specific known condition, a characteristic point is determined and plotted, the characteristic point representative of the known condition. A test spectrum is recorded from a test specimen, and the plurality of amplitudes corresponding in wavelength to the wavelength regions of interest are selected. A characteristic point in N-dimensional space is determined for the test spectrum. The distance of the characteristic point of the test spectrum from each of the plurality of characteristic points representative of known conditions is determined. The test specimen is assigned the condition corresponding to the characteristic point of a plurality of reference spectra, based on a distance relationship with at least two distances, provided that at least one distance is less than a pre-determined maximum distance. In some embodiments, the test specimen can comprise human cervical tissue, and the known conditions can include normal health, metaplasia, CIN I and CIN II / III.

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 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.

The invention provides a method for determining copy number variations (CNV) of a sequence of interest in a test sample that comprises a mixture of nucleic acids that are known or are suspected to differ in the amount of one or more sequence of interest. The method comprises a statistical approach that accounts for accrued variability stemming from process-related, interchromosomal and inter-sequencing variability. The method is applicable to determining CNV of any fetal aneuploidy, and CNVs known or suspected to be associated with a variety of medical conditions. CNV that can be determined according to the present method include trisomies and monosomies of any one or more of chromosomes 1-22, X and Y, other chromosomal polysomies, and deletions and / or duplications of segments of any one or more of the chromosomes, which can be detected by sequencing only once the nucleic acids of a test sample. Any aneuploidy can be determined from sequencing information that is obtained by sequencing only once the nucleic acids of a test sample.

A method for detecting oxygen in a test sample is provided, the method involving exposing a test sample and a control sample to sensor compositions having a luminescent compound capable of generating a signal indicative of oxygen depletion. The method further involves determining the strengths of such signals for the test sample versus the control sample, and using the difference to determine whether oxygen in the test sample is being consumed.

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.

A classification system includes memory which stores, for each of a set of classes, a classifier model for assigning a class probability to a test sample from a target domain. The classifier model has been learned with training samples from the target domain and from at least one source domain. Each classifier model models the respective class as a mixture of components, the component mixture including a component for each source domain and a component for the target domain. Each component is a function of a distance between the test sample and a domain-specific class representation which is derived from the training samples of the respective domain that are labeled with the class, each of the components in the mixture being weighted by a respective mixture weight. Instructions, implemented by a processor, are provided for labeling the test sample based on the class probabilities assigned by the classifier models.

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.

A test sensor having a pair of electrodes and a reagent for electrochemically measuring the concentration of the analyte in a liquid sample. The test sensor comprises a capillary channel for collecting the liquid sample and a conductor disposed outside the capillary channel. The conductor is in fluid communication with the capillary channel. The liquid test sample is collected and moved through the capillary channel. The liquid test sample contacts the conductor when the capillary channel is substantially full to signal a full condition.

The present teachings provide methods for diagnosing biological conditions, including cancer. In some embodiments, a test sample is collected from a subject such as a clinical patient, wherein the test sample comprises background tissue and may or may not contain cells from a tissue of interest. Observation of a target miRNA normally present in a tissue of interest, but collected in an anatomical location ectopic to the tissue of interest, can be indicative of a biological condition. The present teachings further provide exponential amplification techniques applicable to performing these analyses.

The present invention provides a text implication relation recognition method which fuses multi-granularity information, and proposes a modeling method which fuses multi-granularity information fusionand interaction between words and words, words and words, words and sentences. The invention firstly uses convolution neural network and Highway network layer in character vector layer to establish word vector model based on character level, and splices with word vector pre-trained by GloVe; Then the sentence modeling layer uses two-way long-short time memory network to model the word vector of fused word granularity, and then interacts and matches the text pairs through the sentence matching layer to fuse the attention mechanism, finally obtains the category through the integration classification layer; After the model is established, the model is trained and tested to obtain the text implication recognition and classification results of the test samples. This hierarchical structure method which combines the multi-granularity information of words, words and sentences combines the advantages of shallow feature location and deep feature learning in the model, so as to further improve the accuracy of text implication relationship recognition.

The invention discloses an automatic insect image identification method based on a depth convolutional neural network. The method comprises the following steps: (1), collecting an original image and carrying out pretreatment to form a training set, and calculating a mean value image of the training set; (2), constructing a depth convolutional neural network; (3), collecting a sub image block randomly from a training sample of the training set and carrying out pre training on the depth convolutional neural network by using the sub image block; (4), training the depth convolutional neural network by using the training set and combining a mini-batch-based random gradient descent algorithm; and (5), carrying out pretreatment on a to-be-measured insect image to form a test sample, and using the trained depth convolutional neural network to identify the test sample after subtracting the mean value image of the training set from the test sample. Therefore, the identification precision is high; the identification types are diversified; the insect within-class change robustness is enhanced; and the insect inter-class similarity sensitivity is high.