1247 results about "Fluorescent labelling" patented technology

The invention discloses an SSR (Simple Sequence Repeat) core primer combination and a kit for identifying a tea tree variety 'swan gooses 12' and application of the SSR core primer combination and the kit. According to the invention, three pairs of SSR core primers are screened by using an SSR fluorescence labeling detection technology, and the three pairs of SSR core primers can rapidly identify and detect the 'Yangou 12' from other tea tree varieties. The SSR core primer combination disclosed by the invention can be used for identifying the variety of the swan goose 12, the uncertainty of identification based on external morphological characteristics is overcome, the result is reliable and visual, the detection efficiency is high, the operation is simple and convenient, and meanwhile, the popularization, utilization and protection of the variety of the swan goose 12 are also facilitated.

The invention relates to the technical field of biological detection, and provides an inflammatory factor detection kit based on a liquid-based chip technology, and the inflammatory factor detection kit comprises six fluorescent microspheres coupled with capture antibodies, and six detection antibodies labeled by report fluorescence; in the six fluorescent microspheres containing the captured antibodies, the fluorescence intensities of all the fluorescent microspheres are different; according to the detection kit provided by the invention, on the basis of a liquid-based chip technology, fluorescein is adopted to carry out fluorescence coding on microspheres, and a captured antibody is connected to the fluorescent microspheres through a chemical reaction; a detection target is captured through the fluorescent microspheres, and then a signal is displayed through the detection antibody, so that the detection of the inflammatory factors is completed, the defects of large demand quantity of soluble inflammatory factor detection samples, long detection time, tedious detection steps and the like in the prior art are overcome, and great convenience is brought to scientific researchers at a hospital end and an industrial end.

The invention discloses an SSR (Simple Sequence Repeat) core primer combination for identifying a tea tree variety 'Danxia No.1', a kit and application. According to the invention, three pairs of SSR core primers are screened by utilizing an SSR fluorescence labeling detection technology, and the three pairs of SSR core primers can be used for rapidly identifying and detecting 'Danxia No.1' from other tea tree varieties. The SSR core primer combination disclosed by the invention can be used for identifying the variety of Danxia No.1, overcomes the uncertainty of identification based on external morphological characteristics, is reliable and visual in result, high in detection efficiency and simple and convenient to operate, and is also beneficial to popularization, utilization and protection of the variety of Danxia No.1.

According to the invention, the primers are designed for 65 leukemia fusion genes through sufficient literature investigation in the early stage, the leukemia genotypes covering 90% or more are covered, and the primers are good in amplification performance and strong in specificity; based on a multiple digital PCR system of an innovative multicolor fluorescent channel, different fluorescently-labeled hydrolysis probes are designed, multi-gene multi-channel detection is combined, 65 leukemia fusion genes are detected at the same time, leukemia typing can be judged through one-time detection, and time is saved. Through high-throughput detection, the cost is reduced to 1 / 10 of that of foreign like products, and the sensitivity is high.

The invention provides a kit and a method for detecting common fusion genes of lymphoid leukemia based on a multiple digital PCR (Polymerase Chain Reaction) method. By constructing a synergistic effect mechanism of the primer and the fluorescent probe and optimizing matching of the primer, the probe and a fluorescent marker, non-specific binding among amplification products is effectively avoided. A composite reaction aid with a specific formula, namely a PCR enhancer, is innovatively introduced, so that the amplification efficiency and specificity of a multiple detection system are remarkably improved. According to the kit provided by the invention, the integrated detection capability on seven fluorescent channels, namely Atto 425, VIC, FAM, ROX, CY5, CY5.5 and CY7, is realized in a single-hole design. By innovatively constructing an ROX + CY5 and Atto425 + VIC dual-channel joint detection system, when the ROX and CY5 channels or Atto425 and VIC channels in the same detection hole simultaneously present positive signals, two additional detection targets can be specifically interpreted. The innovative detection strategy based on channel combination enables the kit to realize precise detection of 18 fusion genes only through two detection holes in a breakthrough manner.

The invention discloses an ion beam polishing method for coupled silicon carbide in-situ growth based on quantum dots, and belongs to the technical field of SiC surface polishing. The preparation method of the SiC material with the quantum dot sacrificial layer grown in situ comprises the following steps: mixing a lead source, a cesium source and a solvent to obtain a CsPbBr3 precursor solution; and dropwise adding the CsPbBr3 precursor solution to the surface of the SiC material, flattening, heating for crystallization, and annealing to obtain the SiC material with the quantum dot sacrificial layer grown in situ. According to the ion beam polishing method based on quantum dot coupling silicon carbide in-situ growth, the quantum dot layer serves as the sacrificial layer of the SiC wafer, the thickness of the sacrificial layer can be effectively reduced, the flatness of the SiC surface can be remarkably improved, and the good fluorescence labeling effect can be achieved. The CsPbBr3 quantum dot prepared by the method has extremely small nano size, can deeply fill micro cracks and micro-nano scratches on the surface of a SiC wafer, is completely coupled with the micro cracks on the surface of the SiC wafer, and realizes accurate filling of defects.

The invention discloses a photoelectric wafer defect detection method, and belongs to the technical field of semiconductors. The detection method comprises the steps that the surface of a photoelectric wafer is covered with a quantum dot precursor solution, annealing is carried out, after a quantum dot film is formed, irradiation is carried out under ultraviolet light, a displayed fluorescence signal can mark defects on the surface of the photoelectric wafer, and the purpose of detecting the defects of the photoelectric wafer is achieved. The quantum dots used in the invention have excellent fluorescence efficiency and stability, and can provide a high-contrast marking effect in an SEM image. Therefore, the detection of micron-scale and nano-scale defects is more accurate, and the details are clearer. A traditional fluorescence labeling solution is limited in infiltration capacity in nanoscale defects and can only cover the surface. The quantum dots can penetrate into the defect to form a mark with the depth ratio as high as 1: 3. The depth marking capability is helpful for comprehensively knowing the internal structure of the defect and the defect extension condition. In addition, the quantum dots have excellent adaptability and multifunctionality, and show good stability and coupling effect under different types of wafer conditions.

The invention discloses a radiotherapy beam output control method, system, device and equipment and a medium, and relates to the technical field of radiotherapy control, and the method comprises the steps: obtaining the spatial position information of a patient body surface marking module in real time; wherein the marking module comprises a fluorescent marking ball, and the fluorescent marking ball is fixed in a breathing movement remarkable area of a patient; performing information conversion processing on the spatial position information according to a time axis direction to obtain target breathing state change information of the patient, and importing the target breathing state change information into a corresponding preset breathing standard normal form to check whether the target breathing state change information meets a radiotherapy treatment condition; and if the target breathing state change information meets the radiotherapy treatment condition, recommending a corresponding breathing gating window threshold value, and dynamically controlling the output of the radiotherapy beam according to the breathing gating window threshold value. The automatic monitoring of the breathing state change is realized, and the output of the radiotherapy beam is accurately controlled according to the monitoring result.

The invention discloses application of iron ruthenium nano-enzyme in preparation of nucleic acid detection products, and belongs to the technical field of biological detection and nano-materials. The RIN has stable peroxidase-like (POD) activity, and can catalyze a chromogenic reaction between 3, 3 ', 5, 5'-tetramethyl benzidine (TMB) and hydrogen peroxide (H2O2). The catalytic activity of the nano-enzyme can be selectively inhibited by pyrophosphate (PPi) generated in a nucleic acid amplification reaction, so that visual colorimetric analysis on whether target nucleic acid exists or not is realized. In combination with a polymerase chain reaction (PCR) system, the invention constructs a new nucleic acid detection strategy which does not need fluorescence labeling, is simple and convenient to operate and has high sensitivity. Through verification, the system can be widely applied to rapid on-site screening and visual interpretation of related nucleic acid of drug-resistant pathogens (such as ESKAPE flora) and the like, and has a good application prospect.

The invention provides a liquid leakage detection method and device for a liquid cooling device, and the method comprises the steps: obtaining the fluorescence intensity and magnetic field gradient of a surface detection region of the liquid cooling device; wherein the cooling liquid of the liquid cooling device contains a fluorescent marker and a magnetic marker; based on the fluorescence intensity and the magnetic field gradient, determining whether a liquid leakage risk exists in the detection area; in response to the liquid leakage risk of the detection area, obtaining the liquid leakage probability of each grid position of the detection area based on the fluorescence intensity and the magnetic field gradient; and determining a target grid position where liquid leakage occurs in the detection area based on the liquid leakage probability. According to the technical scheme of the invention, the detection precision and detection efficiency of liquid leakage of the liquid cooling device can be improved.

The invention discloses a reagent for rapidly distinguishing bacterial and virus infection and application, belongs to the field of molecular biology, relates to medical and biotechnology, and aims to solve the problem that a traditional method cannot clearly distinguish bacterial infection from virus infection. The reagent comprises five antibodies marked with different fluorescence. The five antibodies are all mouse anti-human or rabbit anti-human antibodies, and targets corresponding to the five antibodies are respectively CD45, CD14, CD64, CD169 and HLA-DR (human leukocyte antigen-DR). The tail end of the antibody is connected with different fluorescein through chemical reaction; fluorescence labeling is performed on neutrophils, mononuclear cells and lymphocytes in peripheral blood through an antibody combination of CD molecules, and corresponding infection indexes are calculated through a flow cytometry method, so that the infection type (bacterial / virus infection) of a patient is quickly distinguished and judged.

The invention discloses a visual detection test method for damage cracks of a solidified soil test piece, and particularly relates to the technical field of geotechnical engineering material detection. The method comprises the following steps: doping fluorescence labeling particles in a solidified soil test piece, and applying periodic load to induce crack formation after curing and forming; synchronously exciting fluorescent particles through an ultraviolet excitation light source, and collecting a short-wave fluorescence response image sequence; inputting the image sequence into a deep residual neural network model, identifying a nonlinear enhancement region of a fluorescence signal, and deducing a crack initiation position and a propagation path; constructing a three-dimensional dynamic model of crack evolution in combination with an image space reconstruction algorithm and time sequence comparison, extracting indexes such as a crack propagation rate, a bending angle and crack density, performing comparative analysis on the indexes and initial parameters of a material, evaluating a microstructure damage development mechanism, and outputting a visual damage evolution result; the method provided by the invention can realize high-precision, non-destructive and dynamic detection of the fine cracks in the solidified soil, and has the advantages of high identification sensitivity, strong modeling precision and good engineering adaptability.

The invention discloses an ink-uniformizing jet printing process for a battery UV insulating coating, which comprises the following steps: adding a first fluorescent marker and a second fluorescent marker in a UV coating material, the two fluorescent markers being capable of performing fluorescence resonance energy transfer to obtain a marked UV coating material; carrying out multi-position spectral characteristic acquisition on the micro-droplets formed by the UV coating material; dynamically tracking the spreading process of the micro-droplets; exciting the coating in the curing process by adopting multi-wavelength exciting light to obtain cross-linking degree distribution data; and carrying out thermoacoustic scanning on the coating. According to the technical scheme, real-time monitoring of cross-linking degree distribution in the curing process of the UV insulating coating can be achieved, the problem of non-uniform cross-linking of the coating can be found in time by monitoring the whole process of micro-droplet formation, spreading and curing in combination with fluorescence spectrum analysis and thermoacoustic detection technologies, and the quality of the coating is improved. And an effective quality control means is provided for ensuring the long-term reliability of the battery insulating coating.

The invention discloses a method for detecting the concentration of bacteria in water based on an image processing technology, and relates to the technical field of computer image processing. The method for detecting the concentration of bacteria in water based on the image processing technology comprises the following steps: acquiring preliminary detection accuracy; acquiring an area scanning evaluation value; generating a superpixel; and acquiring the concentration of the to-be-detected bacteria. According to the method, the to-be-detected sample data is preliminarily marked through the fluorescent marker to obtain the preliminary detection accuracy, meanwhile, the to-be-detected region division process in the laser layer-by-layer scanning operation process is monitored in real time to obtain the region scanning evaluation value, and then the obtained three-dimensional image is subjected to superpixel segmentation to generate superpixels; finally, the number of the to-be-detected bacteria in the superpixels is counted, and the concentration of the to-be-detected bacteria is obtained in combination with the preset experimental group water sample volume, so that the effect of improving the reliability of detecting the concentration of the bacteria in water based on data processing is achieved, and the problem that the reliability of detecting the concentration of the bacteria in water based on data processing is low in the prior art is solved.

The invention relates to the technical field of biological detection reagents, in particular to a preparation method of a PD1 nano antibody and fluorescence labeling flow and immunohistochemical application of the antibody, the PD1 nano antibody comprises a heavy chain variable region, and the heavy chain variable region comprises the following CDRs: CDR1 as shown in an amino acid sequence NO.1, CDR2 as shown in an amino acid sequence NO.2 and CDR3 as shown in an amino acid sequence NO.3. The ELISA (enzyme-linked immuno sorbent assay) binding titer of the PD1 nano antibody disclosed by the invention and PD1 protein is more than 1: 20000. The flow application dilution multiple is 1: 1000 or above, and the nano antibody has the advantages of small molecular weight, small immunogenicity and better solubility and stability.

The invention discloses a multicolor pathology detection system, a detection analysis method and a controller. The multicolor pathology detection system comprises a control module, and a light source module, a light splitting module, a microscopic module, a detection module and an imaging module which are electrically connected with the control module respectively. The light source module emits at least two kinds of exciting light with different wavelengths, the light splitting module guides the exciting light with the target wavelength to the microscopic module, light signals of various markers can be detected at the same time, and the detection efficiency is high. A to-be-processed electric signal is obtained after feedback light signals with different wavelengths are detected through the detection module, imaging is carried out through the imaging module, fluorescence signals of multiple different fluorescence markers and / or corresponding bright field signals can be detected at the same time, and therefore multi-dimensional detection is carried out, the application range is wide, complex molecular characteristics of a to-be-detected sample can be captured, and the detection accuracy is high. The invention can be widely applied to the optical technical field.

The invention provides a multi-modal image fusion endoscope operation target positioning device and method, and the method comprises the steps: calibrating internal and external parameters of a binocular camera and a fluorescence camera, and obtaining a pose conversion matrix between the fluorescence camera and the binocular camera; using a U-Net network model to identify and track the position of the fluorescent mark point in the fluorescent image in real time, and obtaining the two-dimensional image coordinate of the fluorescent mark point; processing a left image and a right image of the binocular camera by using a region-based local stereo matching method in binocular stereo imaging to obtain a point cloud image of a target space; and obtaining three-dimensional pose information of the fluorescent mark point by combining the two-dimensional image coordinate of the fluorescent mark point and the point cloud image of the target space. The binocular stereoscopic vision and the fluorescence imaging technology are combined, the three-dimensional pose and depth information of the fluorescence mark point is obtained by registering the information between the fluorescence camera and the binocular camera, more accurate and real-time vision assistance is provided for an operation, and the safety and efficiency of the operation are improved.

An image processing system is configured to receive at least one reference image, wherein each reference image is a microscopy image capturing cells of a biological sample, wherein the at least one reference image includes at least one reference labeling directed to a reference cellular compartment of the captured cells. The image processing system is configured to employ a trained deep neural network for processing the at least one reference image to generate a target image, wherein the target image includes a target labeling directed to a target cellular compartment of the captured cells, wherein the at least one reference labeling comprises a fluorescence labeling, wherein the reference cellular compartment is a distributed structure within cells, and wherein the target cellular compartment is the cell nucleus.

The invention discloses an ANA detection image-text report intelligent generation method and system, and relates to the technical field of immunodetection, the system uses different fluorescent markers to mark ANA, signal sensitivity is enhanced, and detection accuracy is ensured. Then, collecting fluorescence signals of different wavelengths by adopting a fluorescence microscope and a multi-wavelength excitation light source, and obtaining dynamic change data of reaction intensity by combining a time-resolved fluorescence imaging technology to generate a multi-channel imaging data set; thirdly, noise removal, signal enhancement and image alignment are carried out through an image preprocessing technology, and data consistency is ensured; based on a multi-channel data set, a convolutional neural network is used for training and testing an initial model, an intelligent detection model is constructed, a fluorescence reaction mode is extracted, finally, a detailed ANA detection report is automatically generated by calculating a comprehensive scoring coefficient and comparing the comprehensive scoring coefficient with a preset threshold value, and an accurate immunodiagnosis basis is provided for doctors.

The invention relates to a method and a system for simultaneously acquiring complete form and omics molecular information of a single neuron. The method comprises the following steps: acquiring fluorescently-labeled samples of cell bodies, dendrites and axons of the neuron; performing cyclic operation of scanning imaging and cutting on the section of the sample until the scanning imaging of the whole sample is completed, and collecting a section containing a fluorescence-labeled neuron cell body obtained by cutting; the method comprises the following steps: reconstructing a sample section three-dimensional image obtained based on scanning imaging operation to obtain a complete form of neurons, extracting fluorescently-labeled neuronal cell bodies from collected slices, and obtaining omics molecular information of the neurons through omics analysis. According to the method, the fine and complete form and omics molecular information of the same neuron can be effectively integrated, and the problem that the two kinds of key information cannot be obtained at the same time at the single neuron precision level is successfully solved.

The invention relates to the technical field of water quality analysis, in particular to a water quality evaluation method based on data analysis, which comprises the following steps: based on a satellite remote sensing technology, analyzing water spectral characteristics by adopting a deep neural network algorithm, and generating water characteristic data. According to the method, the satellite remote sensing technology and the deep neural network are combined, the accuracy of water body spectral feature analysis is improved, particulate matter in water is classified through image recognition, the analysis speed is increased, the result accuracy is improved, environmental DNA sampling is used for evaluating the biological diversity, and basic data are generated for microbial activity analysis; a micro-fluidic chip and a fluorescence labeling method are used for improving the activity analysis sensitivity of microorganisms and algae, a support vector machine algorithm is used for improving the water quality detection accuracy, an autoregression integral moving average model and a random forest algorithm are combined for deep water quality change analysis, and a comprehensive risk assessment model is used for comprehensively assessing the water quality risk. And a basis is provided for accurate water quality management.

The invention belongs to the technical field of optical element processing, and particularly relates to a fused quartz optical element subsurface damage detection method based on intrinsic point defects. Comprising the following steps: selecting a laser type according to optical absorption characteristics of intrinsic point defects; setting a fluorescence signal acquisition wave band of the laser confocal microscope according to the intrinsic point defect emission spectrum; an ultraviolet laser is used for irradiating the fused quartz optical element, intrinsic point defects in subsurface damage are excited, and a fluorescence signal is generated; the laser confocal microscope obtains a sub-surface damage fluorescence tomography image by using a fluorescence signal pseudo colorization function, and the image is preprocessed to realize three-dimensional reconstruction of the sub-surface damage; and extracting the depth of the subsurface damage according to the position information of the bottommost pixel point of the three-dimensional reconstruction model. According to the method disclosed by the invention, no other fluorescent marker is used, so that additional pollution of the fluorescent marker to the element is fundamentally avoided, the application of the fluorescent microscopy to pollution-free and high-efficiency detection of the subsurface damage of the fused quartz optical element with large aperture and high cost becomes possible, and the precision of depth detection is improved.

The invention discloses an intelligent visual detection system for a high-precision printed circuit board, and relates to the technical field of precision optical detection.The intelligent visual detection system comprises the steps that based on a printed circuit board substrate with a quantum dot mark layer attached to the surface, confocal scanning is conducted through laser wavelength, and an original image data set is generated; performing multispectral feature analysis on the original image data set, capturing focus offset rules of light rays with different wavelengths, and generating a wavelength-focus mapping relation compensation instruction set; according to the compensation instruction set of the wavelength-focus mapping relation, an imaging light path is adjusted in real time, and a high-fidelity fusion image is generated; and analyzing optical signal feature changes in the high-fidelity fusion image, identifying an abnormal region, extracting microdefect features, and generating a detection report containing the defect features. According to the invention, through uniform dispersion of the quantum dot modified ink in the inert atmosphere and a plasma substrate activation process, molecular-level combination of the solder mask layer and the fluorescent marking material is realized.

A fluorescence intensity enhancer containing a water-soluble compound having a melting point of 50 DEG C or higher, a method for enhancing the fluorescence intensity of a fluorescently labeled target biological substance using the fluorescence intensity enhancer, and a fluorescence detection kit containing the fluorescence intensity enhancer.

The invention belongs to the technical field of synthetic chemistry, and provides a muscarinic acetylcholine receptor 3 fluorescent probe as well as a preparation method and application thereof. The chemical structural formula of the fluorescent probe is shown in the specification, and the fluorescent probe can be used for M3 receptor tracing in cells or organisms. The probe provided by the invention has a good fluorescent property and can be influenced by the polarity and viscosity of an external environment; and the probe has good biocompatibility, and the IC50 of the probe is 43 times of the concentration of a working solution, so that the probe can meet the requirements of cell fluorescence imaging. In the aspect of cell fluorescence imaging, the probe can realize selective fluorescence labeling of the M3 receptor in the cell, washing is not needed in the dyeing process, and the operation is simple and convenient, so that visual research on positioning of the M3 receptor in the cell is realized.

The invention discloses a preparation method of an RNA targeted photosensitizer and an application of the RNA targeted photosensitizer in anti-tumor treatment, and belongs to the technical field of fine chemical engineering. The photosensitizer is modified on the basis of a fluorescent molecule parent, and the RNA targeted photosensitizer is constructed. The photosensitizer disclosed by the invention can be self-assembled into nanoparticles in an aqueous solution, shows good RNA targeting, effectively generates reactive oxygen species through I-type and II-type mechanisms, and shows excellent performance in the aspects of long-term fluorescence imaging in tumor cells and anti-tumor treatment in normal-oxygen and hypoxic environments; the fluorescence of the photosensitizer Se-cy is enhanced by about 230 times after RNA is added, and the fluorescence duration can be kept as long as 40 hours in in-vitro cells; and the fluorescent label can be kept for 4 days in vivo, shows excellent fluorescent durability, and has a remarkable anti-tumor effect on tumor-bearing mice.

The invention provides a disease marker epitope prediction and antibody screening method, which belongs to the technical field of disease markers, and comprises the following steps: firstly, establishing a training data set containing a known antigen-antibody compound structure and disease tissue expression data; and obtaining target protein sequence information through liquid chromatography-mass spectrometry analysis and carrying out sequence comparison. And then a deep convolutional neural network is utilized to extract sequence features, and surface exposure sites are identified by combining secondary structure prediction and solvent accessibility analysis. After the features are integrated with sequence evolution conservative properties, a prediction model is constructed by using a random forest classifier. The method comprises the following steps: carrying out molecular dynamics simulation on a prediction result, screening first 10% of candidate sequences through a comprehensive scoring function and K-means clustering, and finally determining an antigen epitope sequence with the strongest binding activity through verification of an antigen chip and a fluorescence labeled antibody system, so that the technical problem that specific antigen epitopes are difficult to accurately predict and recognize in the prior art is solved.

The invention provides a carbide evolution real-time monitoring method and device, a terminal and a storage medium, and relates to the technical field of material deformation measurement. The method comprises the following steps: acquiring a plurality of images at different stretching stages in the in-situ stretching process of a metal sample; wherein the metal sample is subjected to surface modification and fluorescence labeling; identifying a fluorescence intensity gradient in each image; and converting the fluorescence intensity gradient of each image into a stress value to obtain stress distribution of the surface of the metal sample in the image, and obtaining a carbide evolution monitoring result of the metal sample based on the stress distribution of the surface of the metal sample in each image. According to the invention, the real-time visualization of the carbide evolution process and the influence on the matrix and mechanical properties can be realized.

The invention provides a primer group for identifying multiple genes of ten bacteria related to lower respiratory tract infection and application of the primer group, and belongs to the technical field of gene detection, the sequence of the primer group is shown as SEQ ID NO.1-20, the primer group designs specific primers for ten bacteria such as pseudomonas aeruginosa and streptococcus pyogenes, and the specific primers of ten genes of a 5'end primer are labeled by FAM fluorescence. 10 target gene loci and 2 internal reference loci can be detected in one PCR system, the traditional PCR deviation is overcome, and gene expression is accurately quantified. The reagent and the kit developed on the basis have the advantages of simplicity and convenience in operation, low cost, high accuracy and the like. When the kit is used, DNA of a sample is extracted for multiple PCR, and pathogen load is determined through electrophoresis and software analysis. Experiments prove that the method has strong specificity and high sensitivity to 10 bacteria, and has important application value in LRTI bacterial identification.

A method and kit for the immunotyping of T lymphocyte development subgroups. The method for the immunotyping of T lymphocyte development subgroups comprises: taking antibodies with different fluorescence labels, mixing same with a to-be-detected sample, performing incubating, and then performing detection by means of flow cytometry to obtain detection data, wherein the antibodies comprise: an anti-CD45 antibody, an anti-CD3 antibody, an anti-CD4 antibody, an anti-CD8 antibody, an anti-CD25 antibody, an anti-CD127 antibody, an anti-CD45RO antibody, an anti-CD28 antibody, an anti-CD197 antibody and an anti-CD95 antibody. According to the present invention, more comprehensive immunotyping of T lymphocyte development subgroups is achieved, few to-be-detected samples are required, operation is easy, the required time is shorted, and the accuracy is high.