18215 results about "Rapid detection" patented technology

The invention relates to a microfabricated device for the rapid detection of DNA, proteins or other molecules associated with a particular disease. The devices and methods of the invention can be used for the simultaneous diagnosis of multiple diseases by detecting molecules (e.g. amounts of molecules), such as polynucleotides (e.g., DNA) or proteins (e.g., antibodies), by measuring the signal of a detectable reporter associated with hybridized polynucleotides or antigen/antibody complex. In the microfabricated device according to the invention, detection of the presence of molecules (i.e., polynucleotides, proteins, or antigen/antibody complexes) are correlated to a hybridization signal from an optically-detectable (e.g. fluorescent) reporter associated with the bound molecules. These hybridization signals can be detected by any suitable means, for example optical, and can be stored for example in a computer as a representation of the presence of a particular gene. Hybridization probes can be immobilized on a substrate that forms part of or is exposed to a channel or channels of the device that form a closed loop, for circulation of sample to actively contact complementary probes. Universal chips according to the invention can be fabricated not only with DNA but also with other molecules such as RNA, proteins, peptide nucleic acid (PNA) and polyamide molecules.

A system (10) analyzes signals representative of a subject's brain activity in a signal processor (12) for information indicating the subject's current activity state and for predicting a change in the activity state. One preferred embodiment uses a combination of nonlinear filtering methods to perform real-time analysis of the electro-encephalogram (EEG) or electro-corticogram (ECoG) signals from a subject patient for information indicative of or predictive of a seizure, and to complete the needed analysis at least before clinical seizure onset. The preferred system then performs an output task for prevention or abatement of the seizure, or for recording pertinent data.

The invention relates generally to systems, devices and methods for global disaster response, more particularly to the rapid detection, qualified assessment and monitoring of disasters and electronic triage of victims, communication, alert and evacuation systems, provision of suitable modular sensing or medical aid solutions, and their rapid deployment via delivery platforms such as disaster messaging formats and resources on client mobile phone applications or physically via remote operated vehicles (unmanned aerial sea or land systems) or targeted air delivery.

The present invention relates to an apparatus and method for detecting malware. The malware detection apparatus and method of the present invention determines whether a file is malware or not by analyzing the header of an executable file. Since the malware detection apparatus and method can quickly detect presence of malware, it can shorten detection time considerably. The malware detection apparatus and method can also detect even unknown malware as well as known malware to thereby estimate and determine presence of malware. Therefore, it is possible to cope with malware in advance, protect a system with a program, and increase security level remarkably.

An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack. If any systems are adversely affected, methods for repairing the damage are shared and redistributed throughout the network.

The present invention provides for an improved scanning process having a first stage to rapidly identify a threat location and a second stage to accurately identify the nature of the threat. The improved scanning process maintains a high degree of accuracy while still providing an operationally desirable high throughput. One embodiment of the present invention provides an apparatus for identifying an object concealed within a container. It comprises a first stage inspection system having a Computed Tomography system to generate a first set of data and a plurality of processors in data communication with the first stage inspection system. The processors process the first set of data and are used to identify at least one target region. A second stage inspection system is then used to generate an inspection region, which is then positioned relative to the target region and made to at least partially physically coincide with the target region. A second set of data is produced specifically from the inspection region, which has a high degree of specificity for the material in the inspection region.

The present invention provides for an improved scanning process having a first stage to rapidly identify a threat location and a second stage to accurately identify the nature of the threat. The improved scanning process maintains a high degree of accuracy while still providing an operationally desirable high throughput. The present invention also uses improved processing techniques that enable the substantially automated detection of threats and decrease the dependence on operator accuracy. One embodiment of the present invention provides an apparatus for identifying an object concealed within a container. It comprises a first stage inspection system having at least two X-ray projection systems to generate a first set of data and a plurality of processors in data communication with the first stage inspection system. The processors process the first set of data to generate at least two images. The two images are used to identify at least one target region from the two images. A second stage inspection system is then used to generate an inspection region which is then positioned relative to the target region and made to at least partially physically coincide with the target region. A second set of data is produced specifically from the inspection region, data which have a high degree of specificity for the material in the inspection region.

A highly specific monoclonal antibody, produced by a hybridoma cell has been found. A new assay, highly specific for activated protein C (APC) has been developed which will permit rapid determination of APC levels in clinical situations.

The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Host computer systems automatically detect malicious code. The host computer systems automatically generate and send malicious code packets of the malicious code to a local analysis center (LAC) computer system. Based on the received malicious code packets, the LAC computer system provides a signature update to a network intrusion detection system. Further, the LAC computer system also automatically sends malicious code signatures of the malicious code to a global analysis center. In this manner, the spread of the malicious code is rapidly detected and prevented.

A portable self-standing electromagnetic (EM) field sensing locator system with attachments for finding and mapping buried objects such as utilities and with intuitive graphical user interface (GUI) displays. Accessories include a ground penetrating radar (GPR) system with a rotating Tx/Rx antenna assembly, a leak detection system, a multi-probe voltage mapping system, a man-portable laser-range finder system with embedded dipole beacon and other detachable accessory sensor systems are accepted for attachment to the locator system for simultaneous operation in cooperation with the basic locator system. The integration of the locator system with one or more additional devices, such as fault-finding, geophones and conductance sensors, facilitates the rapid detection and localization of many different types of buried objects.

The present invention relates to systems and methods for real time, rapid detection, identification, and enumeration of a wide variety of analytes, which include but are not limited to, cells (Eukarya, Eubacteria, Archaea), microorganisms, organelles, viruses, proteins (recombinant or natural proteins), nucleic acids, prionss, and any chemical, metabolites, or biological markers. The systems and methods, which include the laser/optic/electronic units, the analytic software, the assay methods and reagents, and the high throughput automation, are particularly adapted to detection, identification, and enumeration of pathogens and non-pathogens in contaminated foods, clinical samples, and environmental samples. Other microorganisms that can be detected with the present invention include clinical pathogens, protozoa and, viruses.

This invention describes a device consisting of a micro channel plate, filter, and porous holder for filter, which is substituted by a pure agar block during method performance, and supportive structural elements. The device is intended for rapid detection and/or identification of microorganisms. Microorganisms are trapped by filtration in long (diameter/length=1/10-1/100), cylindrical, parallel, micro-channels that are open from both sides and attached to a filter from one side. A micro channel plate houses a multiplicity of micro channels (possible diameter of each channel=1-30 μm, length 100-1000 μm, and number on centimeter²−100,000-1,000,000). The micro channel plate with cells trapped on the surface of the filter is attached to an agar block impregnated by artificial substrate(s) so that the molecules of the artificial substrates will fill all micro channels. Trapped cells produce colored or fluorescent molecules from artificial substrates. These molecules are collected in the very small volume of a micro channel. The extremely small volume of a micro channel (1/25 million part of milliliter) allows it to collect a detectable concentration of color or fluorescent substances in a very short time (several minutes). Even one cell from a filtrated sample can be detected by the enzyme—artificial substrate method and/or identified by enzyme immunoassay.

The invention discloses a face detection and recognition method based on skin color segmentation and template matching. A face is segmented with the use of a face skin mixing Gauss model according to the clustering characteristics of face skin color in an YCbCr color space and a region of which the color is close to face skin color is separated from an image so as to achieve the purpose of quickly detecting the outer face of a face. A light compensation technology is used to overcome the influence of brightness on face detection and recognition. Adaptive template matching is used to overcome the influence of a skin-color-alike background on face detection and recognition. A secondary matching algorithm is adopted to reduce the amount of computation during the matching process, and singular value features of a face image are extracted to recognize a face and achieve the purpose of reducing the number of dimensions of a characteristic value matrix in the process of face feature extraction. The face detection and recognition method can quickly detect a face, improves the accuracy of face detection and recognition, is strong in practicability and has strong popularization and application values.

The present invention relates to a method for the diagnosis, prognosis, and monitoring of cancer, such as early or late stage ovarian cancer, in a subject by detecting Bcl-2 in a biological sample from the subject, preferably a urine or blood sample. Bcl-2 may be measured using an agent that detects or binds to Bcl-2 protein or an agent that detects or binds to encoding nucleic acids, such as antibodies specifically reactive with Bcl-2 protein or a portion thereof. The invention further relates to kits for carrying out the methods of the invention. The invention further relates to a device for the rapid detection of Bcl-2 in a bodily fluid and methods for rapidly measuring Bcl-2 in a bodily fluid.

The invention discloses a quick detection method for an objective on the basis of a multi-scale characteristic pattern. The method comprises the following steps that: firstly, through a convolutionalneural network, automatically extracting the multi-scale characteristic pattern to avoid a complex characteristic design and extraction process in a traditional method; secondly, putting forward an effective characteristic pattern fusion method by considering a situation that characteristic expressions learnt by different convolutional layers are different, realizing by a lightweight compression type bilinear function to improve characteristic pattern fusion efficiency and enrich context information, and on the basis, combining the multi-scale characteristic pattern with a channel attention mechanism to highlight useful information and inhibit redundant information so as to further enhance characteristic pattern representation ability; and finally, using the enhanced multi-scale characteristic pattern for objective detection, and obtaining an optimal model through multiple iterative training. Compared with the prior art, the method which is put forward by the invention lowers time costas far as possible while detection accuracy is improved, the quick detection of the objective is realized, and the method has a wide application prospect on the aspects of mobile robots, automatic driving, intelligent video surveillance and the like.

Quick frequency tracking (QFT), quick time tracking (QTT), and non-causal pilot filtering (NCP) are used to detect sporadically transmitted signaling, e.g., paging indicators. For QFT, multiple hypothesized frequency errors are applied to an input signal to obtain multiple rotated signals. The energies of the rotated signals are computed. The hypothesized frequency error with the largest energy is provided as a frequency error estimate. For QTT, coherent accumulation is performed on the input signal for a first set of time offsets, e.g., early, on-time, and late. Interpolation, energy computation, and non-coherent accumulation are then performed to obtain a timing error estimate with higher time resolution. For NCP, pilot symbols are filtered with a non-causal filter to obtain pilot estimates for one antenna for non-STTD and for two antennas for STTD. The frequency and timing error estimates and the pilot estimates are used to detect the signaling.