18628 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 immobilized 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.

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.

Disclosed is an improved electrochemical sensor for the detection of an analyte in a fluid test sample. The electrochemical sensor is of the type in which the fluid test sample is drawn into a capillary space and the improvement to the sensor involves an arrangement where a portion of the sensor's counter electrode is placed on the edge of the capillary space in a relationship to the sensor's working electrode such that if the capillary space is not completely filled there will be generated only a very weak current. When the sensor is connected to a properly programmed current detector, the weak current caused by the underfilling of the capillary space will be detected as an error and will notify the user of the sensor that the test should not be continued.

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 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 system and method for determining a coagulation time, e.g., TT, PT, aPTT, and ACT, of a blood test sample deposited in a test cartridge is disclosed. A cartridge housing having upper and lower major sides and a minor sidewall encloses a test chamber having a test chamber pivot element and is provided with a cartridge port for introducing a test sample into the test chamber,. Ferromagnetic agitator vane leaflets extend from an agitator pivot element supported by the test chamber pivot element intermediate the upper and lower major sides for rotational motion. The agitator vane leaflets can be swept, in response to an external magnetic field, through the test sample in the absence of coagulation. A timer is started when the agitator movement is commenced whereupon the agitator moves freely. Resistance to agitator movement due to coagulation is detected, and the coagulation time is measured.

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.

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.

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 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.