137 results about "High throughput analysis" patented technology

The invention discloses a combination of different nucleic acid aptamers with known 291 targets, sequences of the nucleic acid aptamers of the combination are subjected to sequencing analysis through a single-cell high-throughput sequencing technology, and a cell map aiming at peripheral blood-derived mononuclear cells of a biliary tract cancer patient can be constructed. The nucleic acid aptamers covered by the combination have high specific affinity to molecular targets of the nucleic acid aptamers, and after the two ends of the nucleic acid aptamer sequences extend to adapt to joints of a commercial sequencing platform, high-throughput sequencing is carried out on the nucleic acid aptamer sequences which are combined with the surfaces of mononuclear cells and are provided with the sequencing joints; high-throughput analysis of the biomarkers on the surface of the peripheral blood-derived mononuclear cell of a biliary tract cancer patient can be realized, so that the cell map of the peripheral blood-derived mononuclear cell of the biliary tract cancer is constructed.

The invention relates to a poplar property high-throughput accurate quantitative identification method, system, equipment and medium, the innovation of the method lies in that spectral data analysis and automatic script processing are combined, efficient data acquisition, import, matching and storage are realized, abnormal point detection is carried out by introducing principal component analysis and anti-noise mahalanobis distance, a data set is optimized, and the identification accuracy of the poplar property is improved. Building and training a model to realize high-flux accurate prediction of the material property and the density; a sample control module, an acquisition test module, an automatic processing module, a data set determination module and a result output module are integrated on the system, so that full-process automatic and intelligent management is realized; the equipment comprises a database and a memory, and the method is cooperatively executed through the database and the memory to ensure efficient operation of the method; a computer readable medium stores executable instructions, which is convenient for wide deployment and application. The method is excellent in high-throughput analysis, cost saving, environmental protection and data accuracy, and development of the poplar property identification technology is effectively promoted.

The invention provides an exosome automatic identification and analysis method based on microscopic imaging, and belongs to the technical field of exosome identification and analysis, and the method comprises the steps: collecting an exosome fluorescence microscopic image, carrying out the preprocessing, and obtaining an exosome region through adaptive threshold segmentation and morphological processing. A GPU is adopted to process and extract morphological, texture and statistical feature matrixes in parallel, and meanwhile, the CPU recognizes an abnormal region. And combining the features to form a region feature set, inputting the region feature set into the preliminary screening model for scoring and screening high-credibility regions. Deep feature extraction is carried out on the high-credibility region, and multiple features are fused by using an attention fusion mechanism to construct vectors; and inputting a depth classifier to obtain a classification probability matrix and a screening result. And finally outputting the number, position, classification and credibility score of the exosomes. The problems that an existing exosome analysis method often depends on manual recognition, and automatic and high-throughput analysis is difficult to achieve are solved.

The present invention discloses a combination of different nucleic acid aptamers with 291 known targets. By performing sequencing analysis on the nucleic acid aptamer sequences of this combination through single-cell high-throughput sequencing technology, a cell atlas targeting mononuclear cells derived from the peripheral blood of patients with cholangiocarcinoma can be constructed. The nucleic acid aptamers covered by this combination have high specific affinity for their molecular targets. After extending adapters commercialized for sequencing platforms at both ends of the nucleic acid aptamer sequences respectively, by performing high-throughput sequencing on the nucleic acid aptamer sequences with sequencing adapters bound to the surface of mononuclear cells, high-throughput analysis of biomarkers on the surface of mononuclear cells derived from the peripheral blood of patients with cholangiocarcinoma can be achieved, thereby constructing a cell atlas of mononuclear cells derived from the peripheral blood of cholangiocarcinoma.

The present disclosure relates to methods for high-throughput analysis of proteins and peptides employing a set of engineered binders that recognize terminal amino acid residues of peptide analytes. In particular, disclosed herein is the analysis of occupancy of N-linked glycosylation sites in proteins and peptides. The disclosure finds utility at large-scale profiling of N-linked glycosylation sites, as well as monitoring changes in glycosylation patterns associated with numerous disease conditions.

The invention discloses a method and a device for quickly identifying protein crystals, which are used for solving the technical problem that the production state of the protein crystals cannot be quickly judged and analyzed in the prior art. The method comprises the following steps: acquiring a crystal microscopic image of a to-be-detected protein crystal; inputting the crystal microscopic image into a pre-trained instance segmentation model for morphology identification, and obtaining category information and contour data of the protein crystal to be detected; performing post-processing analysis based on the category information and the contour data to obtain a kinetic analysis result of the to-be-detected protein crystal, so that through high-throughput analysis based on artificial intelligence and in combination with a post-processing program set for quantitative analysis of the protein crystal, the same protein crystals with different morphologies can be quickly identified, and the detection accuracy is improved. And subsequent kinetic analysis can be carried out on the protein crystal.

The invention discloses a high-throughput analysis method and system based on automation, a medium and a product. The method comprises the following steps: collecting data of a plurality of samples in a preset number of pore plate containers; the abscissa is time, and the ordinate is a mass spectrum detection diagram of ion signal intensity; determining target product mass spectra under different reaction conditions; determining a target product mass spectrum peak area list; selecting the first percentage X in the target product mass spectrum peak area list to obtain a TOPX% target compound reaction condition list; based on preset TopX reaction condition sequence information and a TOPX% target compound reaction condition list, sequentially testing target compounds under different TOPX% reaction conditions to obtain TOPX data; determining an ultraviolet spectrogram according to the TOPX data; and determining the proportion of each target compound according to the area of each ultraviolet peak and the total area of all the ultraviolet peaks, and generating a target compound proportion pie chart. By implementing the method, the sample analysis efficiency is improved.

The invention discloses an AAV vector targeting improvement method applicable to gene therapy drugs, which comprises the following steps: performing high-throughput analysis on target tissue cells through a screening sub-module, screening candidate receptor genes interacting with AAV vector targeting molecules, and determining target receptor genes; the selection submodule is used for designing a gene editing system and selecting a promoter with tissue specific expression to drive the expression of the gene editing system; the introduction submodule is used for introducing the gene editing system into target tissue cells by adopting a gene transfer technology; and the evaluation sub-module is used for selecting the most suitable gene transfer mode according to the characteristics and treatment requirements of the target tissue, and detecting and evaluating the cells subjected to gene editing by utilizing a PCR molecular biological technology. The targeting property of the AAV vector to target tissue cells is improved, the infection of non-target tissues is reduced, and the side effect risk is reduced, so that the gene therapy effect is remarkably improved.

The invention provides a method for quickly analyzing TEM (Transmission Electron Microscope) images in batches and measuring critical dimensions by nanoscope software, which relates to the technical field of chip manufacturing and comprises the following steps of: constructing a TEM image intelligent analysis and measurement system; the TEM image intelligent analysis and measurement system comprises an image acquisition module, an image preprocessing module, a measurement template generation module, a measurement path planning module, a data fusion and analysis module and a cloud optimization module, and TEM-Nanoscope in the TEM image intelligent analysis and measurement system comprises a quantum calculation acceleration module (20 quantum bits and 10 CNOT gates) and an A * algorithm path planning module. The feature extraction time of the million-level TEM image is shortened from the hour level to the minute level (the efficiency is improved by 50 times), the path planning time is shortened to 1 second, and the bottleneck of slow processing speed of traditional manual analysis and mainstream software is solved. Compared with one-by-one treatment of DigialMicrograph and ImageJ, the method disclosed by the invention has the advantages that high-throughput analysis is supported, and the production efficiency is greatly improved.

Columnar storage provides many performance and space saving benefits for analytic workloads, but previous mechanisms for handling single row update transactions in column stores suffer from poor performance. A columnar data layout facilitates both low-latency random access capabilities together with high-throughput analytical access capabilities, simplifying Hadoop architectures for use cases involving real-time data. In disclosed embodiments, mutations within a single row are executed atomically across columns and do not necessarily include the entirety of a row. This allows for faster updates without the overhead of reading or rewriting larger columns.

The invention discloses a method for rapidly detecting a liquid phase diffusion coefficient of an analyte based on surface enhanced Raman spectroscopy of a microchannel, which ingeniously combines the characteristics of nondestructive, non-contact, label-free, rapid and sensitive laser confocal Raman spectroscopy with the characteristics of trace, high-throughput analysis and self-injection of a microfluidic technology. Wide application prospects are realized.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and / or DNA loci.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and / or DNA loci.

The present disclosure provides methods, compositions, and kits for the rapid release, labeling, and detection of O-glycans present on a glycoconjugate, such as a glycoprotein, glycopeptide, peptidoglycan, or proteoglycan of interest. The compositions and methods allow the released O-glycans to be subjected to high-throughput analysis.

Provided herein are compositions and methods for the multiplexed profiling of RNA and DNA modifications across transcriptomes and genomes, respectively. The methods combine molecular recognition of non-canonical features (e.g., base modifications, backbone modifications, lesions, and / or structural elements) of a target nucleic acid with a step of writing the information from this recognition event into the neighboring genetic sequence of the target nucleic acid using a barcode. The resultant barcoded nucleic acids are then converted into sequencing libraries and read by DNA / RNA sequencing methods. This step reveals the sequence of the barcode, which is correlated with the non-canonical feature in the target nucleic acid(s). The high throughput profiling methods described herein allow for localization of one or more modifications in a target nucleic acid. The methods also allow for identification of the nature and location of several or all DNA / RNA modifications in parallel.

The present disclosure relates to analysis of single molecule events (40) as observed by irradiating a sample (18) with excitation radiation (14) and detecting emitted radiation (22) from the sample induced by the excitation radiation, wherein the excitation radiation path from the radiation source (12) to the plurality of samples does not overlap the emitted radiation path from the plurality of samples to the detection device (26).

Disclosed are methods and systems for confirming the identification of samples processed by a high-throughput analytical technique. The method may include distributing a plurality of individual samples to individual predetermined positions of a multi-sample test unit and distributing an identifier material to at least one predetermined position of the multi-sample test unit. The method may also include determining the absence or presence of an analyte in the plurality of individual samples, and determining the presence of the identifier material, wherein the presence of the identifier material at the predetermined position of the multi-sample test unit is used to confirm the identity of the plurality of individual samples positioned in the multi-sample test unit. Also disclosed are systems for performing the methods. The methods and systems may be applied to high-throughput LC-MS / MS or other analytical methods.

The invention discloses a high-throughput evaluation method for chemical hematopoietic toxicity based on a zebra fish model, and relates to the field of chemical toxicity evaluation technology and toxicology risk screening. According to the method, a transparent zebra fish strain marked by blood cells is constructed, an acute toxicity test is combined to determine a chemical concentration range, and an automatic imaging technology and a flow cytometry technology are utilized to perform high-throughput analysis on the number change of the blood cells, so that the hematopoietic toxicity of the chemicals is identified and evaluated. The method is low in cost, high in flux, high in reliability and suitable for large-scale toxicity screening and risk management and control of chemicals.

The invention discloses a method for realizing high-throughput cell sorting by adopting a core-shell microcapsule bioreactor. According to the method, a picoliter injection technology is adopted to carry out high-throughput embedding on monodisperse particles packaged with cells, a microcapsule bioreactor with a core-shell structure is prepared, and the cells in the bioreactor are subjected to high-throughput analysis and screening through a fluorescence sorting technology. A nuclear phase of the microcapsule bioreactor is a high polymer material with good biocompatibility and provides a growth and proliferation space for cells, and a shell phase is a high polymer material with stability, so that the stability of microspheres can be enhanced, escape of the cells is avoided, long-time stable culture of the cells can be realized, and the concentration of a detected object is improved; meanwhile, transmission and detection of fluorescence signals are allowed, and efficient analysis and screening of cells are achieved.

This invention discloses a droplet microarray chip based on molecular logic operations and its construction method, belonging to the field of biochemical analysis and detection technology. It includes a substrate layer, a functional layer on the substrate layer, and molecular logic circuitry. The functional layer is a superhydrophilic-superhydrophobic patterned porous polymer film prepared in situ on the substrate using digital light processing technology, followed by PFOC acylation. The superhydrophilic-superhydrophobic patterned porous polymer film contains arrayed superhydrophilic microreaction units, separated by superhydrophobic polymer regions. Each superhydrophilic microreaction unit encapsulates an independent microdroplet, and the molecular logic circuitry is encapsulated within each independent microdroplet. This invention, through the combination of droplet microarray chip and molecular logic circuitry, achieves systematic improvements in multi-enzyme synergistic detection capabilities, logic computation complexity, spatial isolation control, high-throughput analysis, and adaptation to biological environments.

The invention belongs to the technical field of luminescence imaging detection, and particularly relates to an electrochemical luminescence imaging detection platform based on a closed bipolar electrode array and application. Comprising a sensor and a detection unit, a bipolar electrode array unit comprises an insulating substrate, an anode region and a cathode region, the anode region and the cathode region are isolated from each other and are of the same structure, and each anode region or each cathode region is provided with a plurality of independent holes which are arrayed in parallel; gold nanoparticles are loaded in a plurality of independent open pores of the parallel array in the anode region, and a Ru (bpy) 32 < + >-TPA system is constructed; au / g-C3N4 composite materials are loaded in a plurality of independent open pores of the parallel array in the cathode region, and an Au / g-C3N4-K2S2O8 system is constructed. According to the invention, based on the bipolar electrode array unit, the terpyridyl ruthenium and the gold / graphite phase carbon nitride are used as different illuminants to realize capture and quantitative analysis for synchronous detection of acetaminophen and rutin, and the detection accuracy and high-throughput analysis are ensured.

The application discloses a kind of based on multi-focal sharpness analysis's stacked cell hierarchy determination method and system.Acquire Z-stack multi-focal image sequence and extract each focal plane cell contour;Based on centroid coordinates and area features, establish the profile correlation data table of the same cell in different focal planes;Ellipse fitting algorithm is used to complete the shape of the profile of the cell that is blocked;Based on complete geometry mask, screen potential stacked candidate cell pair and locate overlapping area profile;With gradient function as evaluation index, calculate the overlapping area profile sharpness of each cell under multiple focal planes, determine the best focus focal length and judge cell hierarchy relationship;Attribute graph is constructed and topological sorting is executed, and global stacked hierarchy sequence is output.The application establishes hierarchy reasoning rule with rigorous physical basis according to the physical law that upper cell best focus focal length is higher, is compatible with existing Z-stack imaging process, adapts to basic laboratory high-throughput analysis demand.

The present invention, among other things, provides technologies for detecting and / or quantifying nucleic acids in cells, tissues, organs or organisms. In some embodiments, through sequential barcoding, the present invention provides methods for high-throughput profiling of a large number of targets, such as transcripts and / or DNA loci.

The invention discloses a time-space resolution single cell transcriptome detection method, which comprises the following steps: firstly, carrying out specific marking on RNA newly generated by cells within a specific time by using a metabolism marking technology so as to ensure that new RNA molecules can be accurately identified and tracked; then, signal amplification of a new RNA target is realized through an adjacent rolling circle amplification (PLA-RCA) technology, and the detection sensitivity is improved; and finally, realizing high-throughput analysis on the newborn RNA by using an in-situ fluorescence sequencing technology, and carrying out accurate space positioning and quantification on the newborn RNA in the single cell by the step. Through the method, time and space resolution analysis can be provided for a single cell transcriptome, so that analysis of complex biological processes such as cell differentiation, disease occurrence and cell function response is facilitated; moreover, the method has important significance for revealing a molecular mechanism in a cell biological process, and provides a new visual angle and tool for disease diagnosis and treatment.

The present invention belongs to the field of intelligent biotechnology and relates to a method, system and medium for wheat spike number recognition based on Faster R-CNN, including: extracting the canopy images of wheat spikes of different families, calibrating the wheat spikes in the images to obtain the labels corresponding to each wheat spike; inputting the images and labels of the wheat spikes into a ResNet network model for feature extraction to obtain the feature map of the wheat spikes, and establishing corresponding candidate boxes according to the wheat spike contours; training the Faster R-CNN model through the feature map to obtain an optimal wheat spike recognition model; inputting the wheat spike image to be measured into the wheat spike recognition model to obtain the candidate boxes corresponding to each wheat spike; counting the number of candidate boxes, so as to obtain the number of wheat spikes. It can accurately perform QTL mapping on wheat, can accurately identify wheat with high overlapping characteristics of wheat spike number, and is expected to provide a high-throughput analysis tool for the identification of yield-related phenotypes in wheat molecular breeding.

The invention relates to the technical field of preparation of functionalized inorganic nano materials, in particular to a preparation method of a nano porous rare earth oxide material, which comprises four synergistic steps of precursor preparation, molecular directional modification, secondary construction of a pore structure and high-temperature roasting conversion. The material prepared by the process has a mesopore-macropore composite hierarchical pore structure, is high in specific surface area and large in saturated adsorption capacity on forbidden substance molecules, and can specifically recognize at least three forbidden substances such as morphine, methylamphetamine and ketamine; when the material is applied to a prohibited article detection probe, non-invasive sampling can be realized through surface scratching, and high-throughput analysis is carried out by matching with an in-situ mass spectrometry detection device. The process parameters are controllable, large-scale production is easy, and the application prospect in the field of trace contraband detection is wide.

The invention discloses a method for detecting illegally added compounds in food, which is characterized in that complex matrix interference such as saccharides, fatty acid and phospholipid is efficiently removed through a purification strategy of combining a solid-phase extraction column and an adsorbent, the anti-interference capability of the method is remarkably improved, and the method is ensured to have good accuracy and applicability in various food matrixes. In a separation and detection link, high-throughput analysis for synchronously detecting various illegally added compounds in a relatively short time is realized by optimizing chromatography and mass spectrometry conditions, and the screening efficiency is greatly improved. Based on a multi-reaction monitoring and positive and negative ion switching scanning technology, the method is excellent in sensitivity and selectivity, can cover hormone compounds, PDE5 inhibitor compounds, SSRI compounds and other compounds with remarkable structural difference, and greatly expands the screening range. And the method also has effective identification capability on nafil derivatives, structural analogues and other medicines which are not listed in supervision, and provides reliable technical support for systematic screening and supervision of kidney-tonifying and yang-strengthening illegal additives in food.

The invention discloses a system for detecting ArsM in a sample, a detection method, a detection device and application thereof. The detection system of the present invention comprises a clustered regularly spaced short palindromic repeat (CRISPR)-Cas complex comprising a guide RNA targeting ArsM and a CRISPR-related (Cas) protein or a functional fragment thereof; and a horse radish peroxidase (HRP) complex to which a single-stranded DNA (ssDNA) is linked. According to the invention, a cascade amplification detection system based on CRISPR / Cas12a is constructed, and the cascade amplification detection system is further integrated on a multi-channel paper-based microfluidic device to realize on-site high-throughput analysis of nucleic acid molecules.

The present invention discloses a high-throughput ICP torch, comprising a sample pipeline and a sheath gas pipeline coaxially arranged with the sample pipeline; the sheath gas pipeline comprises an air inlet section, an intermediate section and a contraction section of a tapered structure connected in sequence, the sample pipeline outlet is arranged on the inner side of the air inlet section or the intermediate section, the sample pipeline is used to guide the sample gas into the sheath gas pipeline, the inlet of the contraction section is connected to the intermediate section, the outlet of the contraction section is the sheath gas pipeline outlet, the inlet diameter of the contraction section is larger than the outlet diameter of the contraction section; the contraction section is used to concentrate energy in the torch; the present invention improves the convective heat transfer efficiency, and shows significant advantages in terms of ionization speed, energy consumption, cooling efficiency and analytical throughput. Even at a lower gas flow rate, it can achieve the same cooling effect as a traditional Fasse l torch, ensuring the stable operation of the equipment in high-throughput analysis, extending the service life of the equipment, and reducing maintenance frequency and cost.

The invention discloses a preparation method of a silicon quantum dot-Fe < 3 + > fluorescent probe and application of the silicon quantum dot-Fe < 3 + > fluorescent probe in detection of glyphosate pesticide residues, belongs to the field of analytical chemistry, and solves the problems that an existing detection method is long in detection time consumption, complex in sample pretreatment and difficult in high-throughput analysis. The preparation method comprises the following steps: introducing a newly prepared sodium ascorbate solution and a 3-aminopropyltrimethoxysilane solution into ultrapure water for reaction; dialyzing the solution in distilled water to remove unreacted solvent, and storing the obtained solution in a dark place at room temperature; carrying out rotary evaporation on the solution until the solution is viscous, pumping by a vacuum pump until the solution is dry, and dissolving by distilled water to obtain a silicon quantum dot solution; and incubating the silicon quantum dot solution and Fe < 3 + > at room temperature to form the silicon quantum dot-Fe < 3 + > fluorescent probe. The preparation method is simple, and reaction products are easy to separate and purify; the method is simple and convenient in glyphosate detection operation, good in selectivity, rapid in response and high in sensitivity, and can be used for rapid and quantitative detection of glyphosate pesticide residues in vegetables.