7 results about "Background Correction" patented technology

Method (100) of optical spectroscopy for analyzing a sample using an optical spectrometer (10), comprising: Obtaining a sample spectrum (101) of the sample using the optical spectrometer; Obtaining a blank spectrum (102) using the optical spectrometer, wherein the blank spectrum includes structured background radiation that correlates with the sample spectrum; Determining a cross-correlation (103) of the sample spectrum and the blank spectrum; Generating a mapped blind spectrum (105) by mapping the blind spectrum onto the sample spectrum based on cross-correlation; and Subtracting the imaged blank spectrum from the sample spectrum to produce a background-corrected sample spectrum (106).

This invention discloses a multipath error fusion correction method and system based on BeiDou multi-orbit differences. The method includes: collecting BeiDou carrier phase observation data from a reference station and a monitoring station; obtaining double-difference residuals through preprocessing and double-difference calculation, and converting them into single-difference residual sequences; classifying BeiDou satellites into three categories based on their orbital types: geostationary orbit satellites, inclined geosynchronous orbit satellites, and medium Earth orbit satellites; extracting stable background information from the GEO residuals, slowly changing information from the IGSO residuals, and anomalous disturbance information from the MEO residuals by combining satellite azimuth and elevation angle information; constructing a basic hemispherical model based on the stable background information of each satellite, and using the stable background information, slowly changing information, and anomalous disturbance information to constrain and update the basic background correction value, generating the current epoch multipath correction value; and applying the correction value to the corresponding satellite observation value to complete the observation correction and deformation monitoring calculation.

The application discloses a blood smear white blood cell classification counting method and system based on image analysis, and belongs to the technical field of medical image processing. The method comprises the following steps: after collecting a peripheral blood smear image, performing adaptive background correction and color standardization pretreatment; detecting and segmenting each white blood cell through an instance segmentation network; extracting three-dimensional features of nuclear morphology, cytoplasmic staining and nuclear-cytoplasmic ratio and adaptively fusing; adopting a cascade classifier to perform five-class white blood cell classification and abnormal morphology identification; and counting and labeling suspected abnormal cells for review. The classification coincidence rate of the application reaches more than 95%, can effectively identify abnormal morphologies such as atypical lymphocytes, immature cells and toxic granules, and provides technical support for blood tests at the grassroots level.

This invention discloses a method and system for identifying and assessing soil heavy metal pollution sources based on machine learning. The method constructs a feature dataset by collecting data on heavy metal element content and spatial environmental attributes of soil in a target area; it decomposes the input matrix using multivariate analysis and k-means clustering to obtain a source spectrum matrix and a source contribution matrix, thus identifying pollution sources and analyzing their contributions; further, it establishes a background contribution model by combining conservative elements and time series information to extract the background contribution value of each pollution source within the target time period; it calculates single-factor and comprehensive risk indices based on pollution source reconstruction and background correction, and generates soil heavy metal pollution risk level information by combining dynamic risk grading thresholds; finally, it generates a soil heavy metal pollution risk distribution map of the target area through spatial interpolation and zoning processing, simultaneously achieving quantitative analysis of pollution sources, background value correction, risk index calculation, and spatial visualization.

This invention relates to the field of cell image analysis and biological cell screening technology, and discloses a method for screening liver stem cells. The method includes: acquiring original images; performing effective image screening; performing background correction, noise reduction and enhancement, and contrast compensation; performing single-cell instance segmentation; performing single-cell feature extraction and trajectory association; determining target cells using a neural network model; and outputting the liver stem cell determination result. Compared to existing screening methods that rely on manual observation or single-frame static image discrimination, especially in the case of primary hepatocyte suspensions containing mature hepatocytes, bile duct epithelial cells, stromal cells, and cell debris, this method addresses the technical problem of unstable and automated identification of liver stem cells. This application improves the accuracy and automation of liver stem cell screening by constructing a continuous processing flow of image quality gating, instance segmentation, and dual-branch feature fusion judgment.

This invention discloses a method for calculating and calibrating the cumulative radiance matrix within the effective bandwidth of a narrowband filter. The method first acquires the transmittance curve of the narrowband filter and determines the effective bandwidth integration interval. It then collects the response value matrix and dark background response matrix of a blackbody at multiple temperature points. Dark background correction and exposure normalization are performed on the response value matrix to obtain the blackbody bandwidth cumulative response matrix. Discrete integration is then performed on the blackbody spectral radiance and filter transmittance within the effective bandwidth integration interval to obtain the bandwidth cumulative radiance matrix corresponding to each temperature point. A polynomial mapping relationship between the bandwidth cumulative response matrix and the bandwidth cumulative radiance matrix is ​​established based on multi-temperature point samples. The global calibration coefficient set is obtained through least squares solution. After calibration, the original response value matrix and dark background response matrix of the object under test are acquired and subjected to consistent correction and normalization. These are then substituted into the mapping relationship to calculate and output the cumulative radiance matrix including the object under test. This method enables quantitative calculation of the cumulative radiance matrix within the effective bandwidth at the pixel level, avoiding errors caused by center wavelength approximation or single-point correction. It has the advantages of strong applicability, high computational efficiency, and simple engineering implementation.

The present application provides a kind of environmental background interference evaluation method for marine gamma energy spectrum analysis, first in current sea area acquisition gamma energy spectrum data, the characteristic peak of natural radioactive nuclide K is located and Gaussian fitting is carried out;Subsequently, the original data accumulation in peak area is calculated, and the background straight line is constructed with the left and right boundary points, the random point number in the region surrounded by Gaussian fitting curve and background straight line is counted, and the region cumulative sum of signal value in the region is calculated according to the region cumulative sum of signal value in the region.The difference between original cumulative sum and region cumulative sum is finally taken as the environmental background interference evaluation value of current sea area.The present application takes the stable natural nuclide K peak in seawater as the reference standard to obtain the actual background evaluation of current sea area, which provides a key background correction basis for subsequent accurate monitoring of marine artificial radioactive nuclide, and the method of the present application is not limited by cumulative time, which effectively improves the reliability, accuracy and anti-interference of on-site analysis.