78results about How to "Increase sampling density" patented technology

A sample archive method and system implement a plurality of sample carriers configured to support a plurality of sample nodes in a predetermined spatial relationship, sample storage devices for selectively placing the plurality of sample carriers in an archive, and sample node removal apparatus for locating and removing selected ones of the plurality of sample nodes. Alternative embodiments are disclosed wherein the sample node removal apparatus comprises a laser and a mechanical clipping tool, which may be manually operated or automated. An optical component may be operative to detect the location of selected sample carriers in the archive, selected ones of the plurality of sample nodes, or both. A positioning component may position the sample node removal apparatus responsive to signals transmitted by the optical component. Various apparatus and methods of archiving samples and preparing the same for analysis are also disclosed.

Methods of characterizing a nucleic acid library by digital assay.

A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of sub-graphs for incrementally improving the high-definition map for keeping it up to date

Methods and systems for performing three dimensional LIDAR measurements with multiple illumination beams scanned over a three dimensional environment by one or more optical phase modulation devices are described herein. In one aspect, illumination light from each LIDAR measurement channel is emitted to the surrounding environment in a different direction by an optical phase modulation device. The optical phase modulation device also directs each amount of return measurement light onto a corresponding photodetector. The illumination pulse output of each LIDAR measurement channel is synchronized with commanded changes of state of each corresponding optical phase modulation device. In some embodiments, each optical phase modulation device is associated with a single LIDAR measurement channel. In some embodiments, multiple LIDAR measurement channels are associated with a single modulation device. In some embodiments, a one dimensional optical phase modulation device is employed. In other embodiments, a two dimensional optical phase modulation device is employed.

A method and apparatus for process control in the processing of a substrate is disclosed in the present invention. Embodiments of the present invention utilize a first analysis tool to determine changes in a substrate's geometry. The substrate geometry data is used to generate sampling plan that will be used to check areas of the substrate that are likely to have errors after processing. The sampling plan is fed forwards to a second analysis tool that samples the substrate after it has been processed. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Feature-matching methods for attempting to match visual features in one image with visual features in another image. Feature-matching methods disclosed progressively sample the affine spaces of the images for visual features, starting with a course sampling and iteratively increasing the density of sampling. Once a predetermined threshold number of unambiguous matches has been satisfied, the iterative sampling and matching can be stopped. The iterative sampling and matching methodology is especially, but not exclusively, suited for use in fully affine invariant feature matching applicants and can be particularly computationally efficient for comparing images that have large differences in observational parameters, such as scale, tilt, object-plane rotation, and image-plane rotation. The feature-matching methods disclosed can be useful in object/scene recognition applications. The disclosed methods can be implemented in software and various object/scene recognition systems.

A mass spectrometer for efficiently ionizing a sample with less carry-over. The ratio of the amount of sample gas to that of a whole headspace gas is increased by decreasing the pressure inside of a sample vessel in which the sample is sealed thereby efficiently ionizing the sample.

The invention discloses a new asymmetrical panoramic video mapping method and a corresponding inverse mapping method. The mapping method comprises the steps of mapping a sphere corresponding to a panoramic image or a video A into a two-dimensional image or a video B; projecting the sphere to an isosceles rectangular pyramid with a quadrate bottom surface, and then projecting the rectangular pyramid to a plane; adopting isometrical projection for a region of a main viewpoint in projection and adopting a higher sampling density to ensure high video quality of the region of the main viewpoint; and adopting a lower sampling density for a region of non-viewpoint to save a code rate. With the asymmetrical mapping technology for the panoramic video, the resolution ratio of other regions in the video is greatly reduced and the code rate needed for encoding of a virtual-reality video is effectively saved on the premise of guaranteeing the video quality of the region of the main viewpoint unchanged. The asymmetrical mapping technology for the panoramic video provides a method for mapping the video from the plane to the sphere; and through the method, a planar video can be mapped back to thesphere for rendering and viewing.

Provided is an SPEN (spatiotemporally-encoded) single-scanning magnetic resonance imaging spiral sampling and reconstructing method, relating to a magnetic resonance imaging method. 90 DEG linear scanning pulses and 180 DEG linear scanning pulses combine with corresponding SPEN gradients, and in a trigger period, protons in a space spin to obtain a quadratic phase relevant with a spatial position; in a sampling period, a spiral sampling gradient after optimization collets data, and obtains spatial domain magnetic resonance imaging data with T2*weighting in a superfast speed; and finally, spiral sampling data are reconstructed through a specific grid algorithm and a super-resolution reconstructing method based on compression perception, so as to obtain super-resolution high quality magnetic resonance images. The method greatly improves the image quality of SPEN single-scanning imaging, and provides a great imaging tool for the fields requiring superfast imaging.

The invention relates to a method for the three-dimensional measurement of high sampling density color structured light based on green stripe segmentation. In previous researches, color encoding is mostly used for space encoding and direct encoding, and most of the color encoding can be used for measuring dynamic objects, but because of the influences caused by the color fidelity and the resolution ratio of a CCD camera, the color encoding has low measurement accuracy for three-dimensional objects and is very difficult to be used for accurate measurement of objects. The method comprises the following steps of: 1) continuously projecting red and blue gray code encoded structured light segmented based on green stripes to the three-dimensional objects required to be measured or reconstructed in turn, and shooting each breadth of projection patterns; 2) performing red, green and blue color stripe segmentation on each breadth of the shot projection patterns to acquire the color values of pixels of each breadth of the patterns; 3) extracting centers and left and right boundaries of the green stripes in each breadth of the shot patterns, and acquiring the coding values of the centers and the left and right boundaries of the green stripes according to the corresponding color values of the pixels of the previous breadths of the patterns; and 4) performing sub-pixel positioning on the centers and the left and right boundaries of the green stripes, and realizing the measurement and the reconstruction of the three-dimensional objects according to system calibration parameters. The method is applied to a three-dimensional measuring technique.

The invention relates to a wave-aberration indoor detection method of a large-caliber photoelectric detection system at different elevations. An objective target plate and illumination system, a small-caliber collimating optical system with a variable diaphragm, a first turning beam-splitting prism, a second turning beam-splitting prism, a measuring head third turning beam-splitting prism, a measuring head first beam-splitting prism, a second beam-splitting prism, a first photoelectric auto-collimator, a third beam-splitting prism and a second photoelectric auto-collimator are successively arranged on a detection optical path. According to the technical scheme of the invention, the wave-aberration indoor detection method of the large-caliber photoelectric detection system at different elevations is mainly used for detecting the wave aberration of the large-caliber photoelectric detection system at different elevations. In this way, the imaging quality at different elevations and the stability quantitative assessment thereof are realized.

A shared aperture antenna array including an array of antennas is disclosed. Elements of neighboring antennas are shared to create additional antennas. The shared elements include radiating patches and apertures. Each antenna shares an aperture with neighboring antennas. The array of antennas may be linear or two-dimensional. A phase shifting network with single-pole-single-throw reflective switches may be coupled to the antennas.

The invention relates to the field of small animal imaging, solves the problems that in the prior art, the image resolution is low and the image acquisition time is long, provides a photon counting-type dynamic diffusion fluorescence tomography system which has high sensitivity and image resolution and achieves the purpose of dynamic diffusion fluorescence tomography with short measurement time. In order to achieve the purpose, the invention adopts the technical scheme as follows: the photon counting-type dynamic diffusion fluorescence tomography device comprises a light source system used for fluorescence excitation, an imaging chamber system used for fixing and moving a detected object, a light switch used for switching a detection passage, a light-filtering system used for filtering off excited light signals, a detection system used for detecting light signals, and a computer used for integrated control of an attenuator, the light switch, a motor-driven light filtering wheel, a photomultipler tube and a photon counting module as well as image reconstruction. The invention is mainly applied to small animal imaging.

A sample exchange device (1), in particular, for an NMR spectrometer, comprising a circumferential chain (22), sample receptacles (7) which are disposed on the chain (22) at equal distances and are connected to each other via webs (23), and a measuring or transfer position (9), wherein each sample receptacle (7) can be moved to the measuring or transfer position (9) by moving the chain (22), characterized in that a chain guidance is provided which guides the circumferential chain (22) along a meandering path. The inventive sample exchange device is particularly economic and does not impair the analysis of the samples.

The invention relates to the field of computational intelligence, and relates to a multi-scale quantum harmonic oscillator concurrent optimization system and method. The method in the invention is composed of three embedded iteration processes: scale iteration, quantum harmonic oscillator iteration and energy level iteration. By adopting the method provided by the invention, sampling points to be compared at each time are fewer and are easier to fully iterate, so the result is accurate. According to the concurrency of the multi-scale quantum harmonic oscillator multimode optimization method, the Multi-scale quantum harmonic oscillator concurrent optimization method is proposed, and the method can be concurrently operated on a cluster. By adopting the concurrent method, the operational speed is effectively accelerated.

The invention discloses a rapid function magnetic resonance imaging method used for a human lung. Hyperpolarization gases are collected, and are used as contrast media. Position information of a human lung is acquired. After the hyperpolarization gases are acquired by the human lung, the hyperpolarization gas imaging of the human lung is carried out by adopting a bidirectional asymmetric multi-echo imaging method, and then left and right half-echoes of a plurality of echo times are acquired. The left and right half echoes are combined together to form the full echo data of the corresponding echo time. By adopting a nonlinear conjugate gradient algorithm, the echo images of the dissolved state signals of the various echo times and the echo images of the gaseous state signals of the various echo times are acquired. A B0 field pattern is acquired by using the various echo images of the gaseous signals. Image artifacts caused by the hyperpolarization gases consumed by RF pulses are reduced, and the image artifacts of the dissolved state signals are reduced.