90results about How to "Reduce measurement noise" patented technology

Microfluidic devices are provided for trapping, isolating, and processing single cells. The microfluidic devices include a cell capture chamber having a cell funnel positioned within the cell capture chamber to direct a cell passing through the cell capture chamber towards one or more a cell traps positioned downstream of the funnel to receive a cell flowing. The devices may further include auxiliary chambers integrated with the cell capture chamber for subsequent processing and assaying of the contents of a captured cell. Methods for cell capture and preparation are also provided that include flowing cells through a chamber, funneling the cells towards a cell trap, capturing a predefined number of the cells within the trap, interrupting the flow of cells, flowing a wash solution through the chamber to remove contaminants from the chamber, and sealing the predefined number of cells in the chamber.

The invention provides a device and a method for improving polarization crosstalk measurement performance of an optical device. The device comprises a wide spectrum light source (301), a polarizer (311), a polarization device to be tested (632), an optical path correlator (640) and a polarization crosstalk detection and signal recording device (150), wherein the wide spectrum light source (301) is connected with the optical device to be tested (632) by the polarizer (311) and a first rotation connector (631) and then is connected with the optical path correlator (640) by a second rotation connector (633). By the device and the method, noise amplitude can be greatly suppressed, the sensitivity of polarization crosstalk measurement is improved, the dynamic range of polarization crosstalk measurement is expanded, and the device and the method are widely used for high-precision measurement and analysis on polarization performance of the optical device.

Described herein is a method for correcting defective depth values in depth map images. Defective values correspond to “noisy pixels” located on continuous flat surfaces and interpolated “flying pixels” located along an edge between a foreground object and a background object. The method comprising the steps of accessing a depth map of a scene which includes the foreground and background objects, detecting and identifying noisy and interpolated depth measurements within the depth map using a method, defining and applying a correction to each of the detected defective noisy and interpolated depth measurements using a specifically defined weighted correction factor. By providing the corrected defective depth values in depth map images, edges are sharpened in depth and continuous surfaces are flattened, enabling higher efficiency and robustness of further image processing.

A first light source has a first wavelength corresponding to an excitation wavelength of a fluorophore. The excitation wavelength and an emission wavelength of the fluorophore delineate a predetermined interval. A second light source has a second wavelength offset with respect to the first wavelength so as to be outside said predetermined interval. The offset between the first and second wavelengths is comprised between 30 nm and 100 nm. A camera comprises a filter opaque to the first and second wavelengths and transparent to the emission wavelength and to wavelengths substantially higher than the higher of the first and second wavelengths. The light sources and camera are synchronized to alternately activate one of the light sources and make the camera alternately acquire a fluorescence image and a background noise image.

The present invention relates to a redundant reciprocal tracking system composed of at least two trackers 10. A first tracker is able to sense partial or full pose data (orientation and position) of a second tracker in a first reference frame and the second tracker is able to sense partial or full pose data of the first tracker in a second reference frame. Pose data of first and second trackers are further transferred to a central processor 30, which is able to compute the transformation between first and second reference frame. Data generated by the trackers are such designed that they define an over-determined mathematical system (e.g. more than 6 degrees of freedom in a 3D setup). The over-determined information can be used to qualify and/or improve the transformation of the reference frame. In an embodiment of the invention, the tracking system is an optical one and the over-determined information defines an error metric used to check the validity of the transformation. Such setup could be used in surgical navigation system in order to reduce the risk of injury or death of the patient.

The invention discloses an ultra-low power consumption passive structure health monitoring system and method. The system includes a plurality of passive structure health detection nodes, an RFID reader, a wireless router and a control center; the passive structure health detection nodes measure structure health parameters when the RFID reader sends out a specific instruction and return the structure health parameters to the RFID reader, the RFID reader and the control center are connected to the same local area network through the wireless router, and the control center can remotely access the RFID reader and read sensing information from the plurality of passive structure health detection nodes; and the control center receives stress information, temperature information and speed information inside a monitored structure in real time, analyzes and displays the structure health condition. The system provided by the invention can monitor stress information inside the monitored structure and a change trend in real time and can provide early warning for occurrence of a building disaster, the system is convenient to deploy and collect information, and does not need later maintenance, and is of great significance to structure health evaluation of a long-span bridge, a high-rise structure, an expressway or ocean platform and the like.

The invention discloses a GNSS dynamic Kalman filtering method in cluster autonomous cooperation. The method comprises the following steps: calculating a double-difference observation value, calculating an observation equation, calculating a double-difference pseudorange observation value, calculating a double-difference pseudorange observation equation, calculating a double-difference observationequation based on a pseudorange and a carrier phase, and listing the double-difference observation equation and Kalman filtering calculation. According to the invention, the receiver clock error andthe satellite clock error are eliminated by calculating the double-difference observation value. Satellites with high elevation angles are called as the first choice of reference satellites. The accuracy of each double-difference observation value is ensured. Pseudo-range measurement values corresponding to different stations and between satellites form a double-difference pseudo-range, and the corresponding double-difference pseudo-range is smoothed by utilizing a double-difference carrier phase, so that the measurement noise of a double-difference pseudo-range observation value is reduced, and the smoothed or filtered double-difference pseudo-range observation value has the advantages of relatively low measurement noise and no integer ambiguity.

The invention provides a manufacturing method of a mask plate, which comprises the following steps: providing a substrate, and forming a main pattern and a cutting channel forming region arranged at the periphery of a main pattern region on the substrate; and forming an overlay alignment mark and a redundant graph in a cutting channel graph region, wherein the redundant graph surrounds the overlayalignment mark. Under the condition that the overlay alignment mark is arranged, the redundant graph is additionally arranged in the cutting channel forming region of the mask plate; the overlay alignment mark and the redundant graph can be subsequently transferred to the surface of the wafer together; according to the invention, the etching stress on the surface of the wafer when the wafer is etched to obtain the dense lines corresponding to the overlay alignment marks is dispersed, so that the breakage of the dense lines in the etching process is avoided, the damage to the overlay alignmentmarks is reduced, the etching stability is improved, the measurement noise of overlay alignment is reduced, and the product yield is improved.

The invention discloses a system and a method for measuring gravity acceleration by utilizing optical fiber technology. The system comprises an optical fiber light source system, a Michelson interference system, a Fabry-Perot interference system, a vacuum system and a data collection processing system. The Michelson interference system is used for measuring moving distance of a moving rectangular prism in the vacuum system, the Fabry-Perot interference system is used for monitoring output wavelength of an optical laser in real time, a high-accuracy time frequency standard regulator timing system of the data collection processing system is used for recording moving time of the moving rectangular prism, a multi-channel data collection card of the data collection processing system is used for collecting position and time of the moving prism and wavelength of the optical laser in real time, and finally change relation of the gravity acceleration with time is obtained through computing program. The system and the method have the advantages of being simple, convenient, easy to operate, high in stability and capable of continuously monitoring the change relation of the gravity acceleration at the specific position with the time in real time for a long time.

An overlay mark for determining the alignment between two separately generated patterns formed along with two successive layers above a substrate is provided in the present invention, wherein both the substrate and the overlay mark include at least two pattern zones having periodic structures with different orientations, and the periodic structures of the overlay mark are orthogonally overlapped with the periodic structures of the substrate.

The invention discloses a GNSS receiver baseband processing module with loop assistance. The module comprises a carrier ring and a code ring, wherein the carrier ring comprises a carrier ring tracking auxiliary module used for eliminating influences of dynamic of a GNSS receiver on the carrier ring, improving dynamic tracking performance of the carrier ring and eliminating contradictions between loop bandwidth and dynamic stress; the code ring comprises a code ring tracking auxiliary module, the code ring tracking auxiliary module is used for improving code tracking precision and generating drive signals by addition of inertial navigation speed information corrected through a Kalman filter and the corresponding pseudo-range rate information and low-pass filter output quantity, and the drive signals control predicted signal delay so that the code ring can only track remaining inertial navigation auxiliary errors and loop dynamic characteristics can be improved. The GNSS receiver is integrated with SINS information by reading in-phase / orthogonal information of a correlator level, dynamic stress is eliminated, the tracking loop filter bandwidth is reduced, loop measurement noise is lowered, the signal to noise ratio is improved, and global optimum is achieved.

A method of measuring characteristics of a specimen, the measuring method including the steps of bonding the specimen to a host molecule on a sensing device, emitting an electromagnetic wave of a particular frequency to the sensing device to which the specimen is bonded, measuring a frequency characteristic of the transmitted or reflected light, and measuring the characteristics of the specimen based on a change of the frequency characteristic, wherein an absorbance of the host molecule per unit quantity at the particular frequency is smaller than that of the specimen.

The invention discloses a real-time calibration method for an array type MEMS magnetic sensor. The real-time calibration method for the array MEMS magnetic sensor comprises the following steps of: acquiring real-time data of an array MEMS magnetic sensor and preprocessing the real-time data; performing mean value operatio on the array type MEMS magnetic sensor data; establishing a unified array type MEMS magnetic sensor calibration model; by adopting a parametric model, designing an adaptive Kalman filtering algorithm to achieve parameter estimation, setting the number of sampling points in the calibration process to be M, if k is equal to M, outputting a calibration result, completing the calibration process of the array type MEMS magnetic sensor, and if k is less than M, indicating thatthe calibration process is not completed, repeating the steps until the calibration process is completed, wherein both k and M are positive integers. The method has the beneficial effects that (1) a unified array type MEMS magnetic sensor measurement model is adopted, so that the method can reduce measurement noise, and have the advantages of real-time estimation of unknown parameters and construction of a calibration result by designing a parameter estimation model.

The invention discloses a high-resolution single-photon imaging method and system combined with a physical noise model. The method comprises the steps of building the physical noise model of a single-photon detection array, calibrating the parameters of the single-photon detection array, and simulating the photon detection efficiency of the single-photon detection array, the Poisson process of photons, the crosstalk of the detection array, the post-pulse and other noise factors, downsampling the high-resolution picture into a plurality of low-resolution pictures and adding the low-resolution pictures into the noise model to generate a low-resolution noisy data set, constructing a deep learning neural network, and training the network by taking the low-resolution noisy picture as an input and the high-resolution picture as a true value to obtain optimized network model parameters, and finally, recovering a high-resolution noise-free picture from the low-resolution noisy picture by usingthe trained network. The method is combined with an actual physical model, the measurement noise of the single-photon detection array can be effectively reduced, and the imaging resolution of the single-photon detection array can be effectively improved.

In an apparatus and method for detecting a preamble in a message a shorter initial average is used to estimate the peak position peak symbol duration, and then the number of subsequent delay stages is reduced to 1 per symbol where the chosen peak position is stored along with the corresponding intermediate detection value. At the output, a weighting function is applied to eliminate detection values inconsistent with a symbol-spaced signal output.