56 results about "High throughput analysis" patented technology

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.

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.

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.

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 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 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.

The invention relates to a registration method and system for mouse brain tissue slice images. On the basis of a two-dimensional mouse brain tissue slice image to be registered and a section parameter prediction model, spatial positioning parameters are determined, and tedious three-dimensional space search and iterative matching in the prior art are effectively replaced by one-time prediction based on the section parameter prediction model, so that the matching efficiency is improved, and the robust spatial positioning parameters are given; determining deformation mapping information based on the spatial positioning parameters, the two-dimensional mouse brain tissue slice image and the three-dimensional average mouse brain template map, determining a two-dimensional labeled slice based on the spatial positioning parameters and the three-dimensional standard map, and determining a registered mouse brain tissue slice image based on the two-dimensional labeled slice and the deformation mapping information, according to the method and the system, subsequent fine alignment processing is carried out on a two-dimensional level, so that the calculation complexity and the algorithm difficulty are greatly reduced, an automatic workflow of intelligent three-dimensional positioning and efficient two-dimensional registration can be formed, and powerful support is provided for high-throughput analysis and clinical application.

According to the technical scheme, the real-time continuous blood plasma concentration detection instrument equipment is characterized by comprising a base, a high performance liquid chromatograph is fixedly installed on the top face of the base, a chromatographic column is arranged on one side of the high performance liquid chromatograph, a sliding rod is fixedly installed on the top face of the base, and the sliding rod is arranged on the other side of the high performance liquid chromatograph. A mounting frame is arranged on the top surface of the base, and a sliding hole is formed in the top surface of the mounting frame; the sample adding assembly is arranged on one side of the mounting frame and is used for continuously adding detection samples into the chromatographic column, and by arranging the sample adding assembly, the detection samples can be effectively and continuously added into the chromatographic column, so that the manual operation time and the waiting time for adding the samples every time are shortened, the continuity is higher, and the detection efficiency is improved. The method effectively reduces the white storage period, improves the overall efficiency of the experiment, enables high-throughput analysis to be possible, and is more convenient to efficiently and continuously monitor the blood concentration in real time.

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.

Methods of generating organoids on multi-well plates are provided by depositing a polymeric solution comprising cells under conditions which result in a homogenous population of organoids, which can be used for high throughput analysis for drug screening and for determining treatment regimens of a drug.

This invention discloses a method for constructing and sequencing single-cell multi-omics libraries based on a dual-permeable microarray design, comprising the following steps: S1, performing an in-situ nucleic acid molecular labeling reaction on a single-cell or mononuclear suspension of the tissue to be tested in a multi-well plate to tag it with a known base sequence; S2, mixing the reacted single-cell or mononuclear suspension with microbeads carrying the known base sequence and loading it onto a dual-permeable microarray; after the reaction is complete, sealing the chip with sealing oil; S3, performing nucleic acid molecule polymerization and amplification within the chip, and then collecting the liquid within the chip to construct a single-cell sequencing library; S4, sequencing the single-cell library and processing the data to obtain single-cell multi-omics library data. This invention enables high-throughput analysis of multi-omics genetic information, including transcriptomics and chromatin availability, at the single-cell level at a low cost and with rapid convenience.

The invention discloses a free silicon dioxide content determination and analysis method which specifically comprises the following steps: A1, quickly screening a dust sample to be detected by adopting laser-induced breakdown spectroscopy to obtain the characteristic spectral intensity of a silicon element in the sample, and preliminarily judging the existence probability of free silicon dioxide; a2, performing synchrotron radiation X-ray diffraction analysis on the sample subjected to laser-induced breakdown spectroscopy screening, and realizing second-level silicon element pre-judgment through laser-induced breakdown spectroscopy rapid screening by utilizing the characteristics of high flux and high resolution of a synchrotron radiation light source, so as to avoid deep analysis of an invalid sample and improve the detection accuracy; synchrotron radiation X-ray diffraction high-throughput scanning is combined with Raman imaging automatic identification, and microwave-ultrasonic cooperative sample preparation shortens the pretreatment time of a traditional pyrophosphoric acid method by 80% or more, the time consumed by the whole process is shortened to 30 minutes or less from several hours of the traditional method, 90% of manual operation links are reduced, and the method is suitable for high-throughput analysis of large-batch industrial dust samples.

Disclosed herein is a system and method are provided for rapid, high-throughput phenotyping of nutritional traits in plants using mid-infrared (MIR) spectroscopy and chemometric modeling. One or more processors control MIR sensors to capture spectral images of plant material, which are analyzed using a chemometric model, such as partial least squares regression, to determine characteristics including protein, fatty acids, dietary fiber, starch, resistant starch, sulfur-containing amino acids, and digestibility. The method supports non-destructive analysis with minimal sample preparation and is applicable to a wide range of plant species and biological materials. Results can be stored in a local or cloud database and visualized through a graphical user interface. The chemometric models may be trained and validated using K-fold cross validation and can include spectral preprocessing and interpolation filters. This enables rapid, cost-effective nutritional analysis to support plant breeding, food quality assessment, and industrial applications.

A system is described that can be used for loading a microcapillary array chip for use with a high-throughput analysis system. The system may include a reservoir and a base for holding a microcapillary array chip in place while loading liquid from the reservoir to microcapillaries of the microcapillary array chip by translating the reservoir across the microcapillary array chip. Samples, reagents, and the like can be loaded into the microcapillary array chip using the system. A hydrating gel can be applied to the microcapillary chip to allow for more complicated microcapillary loading schemes.

The invention relates to the technical field of biomedical analysis, in particular to a clinical steroid hormone determination method which comprises the following steps: repeatedly treating human plasma by adopting a solid-phase extraction method, using octadecylsilane bonded silica gel filler, extracting to remove endogenous steroid hormone, and obtaining a human plasma blank matrix; the method comprises the following steps: respectively preparing a steroid hormone stock solution and a loratadine internal standard solution, taking the human plasma blank matrix treated in the step 1, adding the loratadine internal standard solution, treating with a 2% formic acid solution, extracting by using an HLB solid-phase extraction column, centrifugally concentrating an eluent, redissolving for LC-MS / MS analysis, carrying out sample analysis by adopting an LC-MS / MS method, and determining the content of the loratadine in the human plasma blank matrix. And detecting in an ESI positive ionization mode. Therefore, multiple steroid hormones can be detected at the same time, the coverage concentration range is wide, endogenous interference can be effectively removed, the detection accuracy is improved, the sensitivity is high, the repeatability is good, and the method is suitable for high-throughput analysis of clinical samples.

The invention provides a method and a system for rapidly screening various high-degree substances. The method comprises the following steps: S1, carrying out organic solvent extraction and solid-liquid separation on a to-be-detected sample to obtain a to-be-detected sample extract; s2, introducing the to-be-tested sample extract liquid obtained in the S1 into quadrupole-time-of-flight mass spectrometry equipment through a sample introduction system for testing to obtain a spectrogram of the to-be-tested sample; and S3, carrying out peak identification and qualitative and quantitative analysis on the spectrogram of the sample to be detected and the spectrogram of the standard substance in the step S2 to obtain the type and content of the highly concerned substance in the sample to be detected. According to the method, data collection and elution peak removal of 90 SVHC organic substances in one sample can be completed within 9 min, rapid screening is achieved, the daily sample loading capacity can reach 120 or above, and high-throughput sample analysis can be achieved.

A method of characterizing disulfide bonds and peptide maps of a protein is disclosed. The method comprises the following steps: after carrying out on-line enzyme digestion on a protein to be detected, analyzing an enzyme digestion product; in the enzyme digestion reaction system, the mass ratio of the protease to the protein to be detected is 1: (1-3). According to the method, the disulfide bond of the biological product is represented in a manner of combining online enzyme digestion with LC-MS / MS, and peptide map analysis is completed at the same time. By means of automatic sampling and enzyme digestion through the sample injection needle, the reaction proportion of enzyme and protein is increased, the enzyme digestion time is further shortened, and the enzyme dosage is only one fifth to one tenth of that of off-line enzyme digestion. The method greatly saves manpower, time and cost, improves working efficiency and is suitable for high-throughput analysis.

The application discloses an automatic online extraction-mass spectrum detection system and method based on an integrated microfluidic chip, relates to the fields of microfluidic processing and mass spectrum analysis, and automatically integrates a microfluidic chip unit by bonding multiple layers of PDMS and using glass packaging. An online solid-phase extraction desalination unit performs automatic online extraction desalination operation, so that mass spectrum detection of target components in different solutions is realized. The mass spectrum online detection unit is connected with a mass spectrum spray needle through a capillary, so that online real-time mass spectrum detection is realized. The application realizes multi-step automatic operation of extraction only through the chip, and the sample consumption is lower. The sample for mass spectrum detection has high throughput, high selectivity and high sensitivity analysis, and online quantitative analysis of biological samples can be realized. Compared with a traditional detection method, the application automatically performs sample extraction desalination treatment, is efficient and fast, reduces manual operation errors, has high throughput, and has shorter analysis time, so that the demand of instant high-throughput analysis of biological samples is met.

Described herein are fluorescence imaging system designs, flow cell devices, and methods that enable imaging of three or more axially displaced surfaces without the use of any optical compensators. The optical systems and flow cell devices herein provide higher throughput analysis at lower cost for genomics and other imaging applications.

The invention relates to the field of biological detection, in particular to a one-step RT-qPCR (real-time quantitative polymerase chain reaction) detection method for new bunyavirus miRNA (micro Ribonucleic Acid). The novel bunyavirus miRNA provided by the invention is miR1480 as shown in SEQ ID NO. 9, miR692 as shown in SEQ ID NO. 10, and miR4706 as shown in SEQ ID NO. The invention further provides a one-step RT-qPCR detection reagent or kit and a one-step RT-qPCR detection method for the new bunyavirus miRNA, the new bunyavirus miRNA is one or more of miR1480, miR692 and miR4706, and the detection kit comprises the primer P1 and the primer P2. Meanwhile, the invention provides application of the one-step RT-qPCR detection reagent or kit in preparation of a product for diagnosing the severe fever with thrombocytopenia syndrome. According to the invention, all primers and enzymes are added into a PCR tube together, and the whole detection process is completed in one PCR tube in one step, so that the working process is simplified, the pollution opportunity is reduced, and the method is more suitable for high-throughput analysis.

The present disclosure provides a method of predicting a structure of an interface between a target peptide and a targeting peptide. The method leverages test pairs of variants of a target peptide and variants of a targeting peptide and their binding affinities measured by a high-throughput analysis. Synergistic pairs among the test pairs are selected and multiple sequence alignment (MSA) of the selected pairs is performed to predict a structure of the protein complex formed with the target peptide and the targeting peptide. Structure prediction using MSA of the synergistic pairs provides for improved results, thereby paving the path for downstream analyses, e.g., small molecule design for molecular glues or antibody design.

Fluorescence imaging systems designs, flow cell devices, and methods of are described herein that enable imaging of three or more axially displaced surfaces without using any optical compensators. The optical systems and flow cell devices herein provides higher throughput analysis for genomics and other imaging applications at a lower cost.

The present disclosure relates to a registration method and system for mouse brain tissue slice images. Based on the two-dimensional mouse brain tissue slice images to be registered and the section parameter prediction model, the spatial positioning parameters are determined to effectively replace the cumbersome three-dimensional spatial search and iterative matching in the prior art based on the one-time prediction of the section parameter prediction model, to improve the matching efficiency and give the robust spatial positioning parameters; based on the spatial positioning parameters, the two-dimensional mouse brain tissue slice images and the three-dimensional average mouse brain template atlas, the deformation mapping information is determined, based on the spatial positioning parameters and the three-dimensional standard atlas, the two-dimensional labeled slice is determined, and based on the two-dimensional labeled slice and the deformation mapping information, the registered mouse brain tissue slice images are determined, to perform subsequent fine alignment processing in the two-dimensional level, which not only greatly reduces the computational complexity and algorithm difficulty, but also forms an automatic workflow of intelligent three-dimensional positioning and efficient two-dimensional registration, thereby providing strong support for high-throughput analysis and clinical application.

This invention discloses a method, system, and device for estimating the area of ​​the eye muscles and the backfat thickness of live pigs based on deep learning. The method includes: acquiring and constructing a dataset of live pig ultrasound images; selecting regions of interest (ROIs) in the ultrasound images, preprocessing them, and standardizing the input size; inputting the preprocessed ultrasound images into a ReAMS-UNet neural network for semantic segmentation of the eye muscle region; filtering the image contours to remove false positives and false negatives in the segmentation results; determining the upper and lower boundaries of the backfat thickness through image binarization; calculating the eye muscle area and backfat thickness, and outputting the calculation results. Based on a large-scale, highly diverse dataset of pig ultrasound images, this invention utilizes ReAMS-UNet to integrate residual learning for stable training, a hybrid attention mechanism for adaptive feature optimization, multi-scale fusion for contextual and spatial information fusion, and auxiliary supervision for enhanced gradient propagation. It achieves high segmentation accuracy, fast inference speed, accurate trait estimation, and results that reflect true carcass traits. The process is automated and suitable for high-throughput analysis applications.

The disclosure relates generally to the field of T-cell receptors or T-cell receptor mimics, and methods for obtaining novel T-cell receptors or novel T-cell receptor mimics. The compositions and methods described identify pairs of T-cell receptors and antigens. The compositions and methods allow high throughput analysis so that many antigens can be paired with a large repertoire of T-cell receptors.

The invention relates to the technical field of seawater treatment, in particular to a seawater desalination bactericide performance evaluation method based on molecular biology high-throughput analysis, which comprises the following steps: acquiring a sample containing a complex microbial community from a reverse osmosis membrane component or a pretreatment unit of a seawater desalination plant, inoculating the sample to a simulated seawater culture medium of which the salinity is matched with actual inlet water; the method comprises the following steps: performing treatment with bactericides of different types / concentrations, performing aeration culture at 25-30 DEG C for 7-14 days, extracting total genome DNA of microorganisms, performing high-throughput sequencing on a V3-V4 region or an ITS region of the 16S / 18SrRNA gene, and performing parallel metagenome sequencing; and analyzing community diversity, potential pathogenic bacteria abundance and biofilm related functional gene abundance through bioinformatics, calculating a bactericide performance index Spi with dynamically adjustable weight to quantify comprehensive performance, and comparing antibiotic resistance gene abundance to evaluate drug resistance risk. The method fits the reality, is comprehensive in dimension, is adaptive to traditional and novel antibacterial agents, and provides a scientific basis for the type selection of seawater desalination bactericides.