1059 results about "Sample processing" patented technology

The invention belongs to the technical field of biological sample sorting, and discloses a visual identification control system for automatic sorting of biological samples, through cooperation of a multi-modal sensing acquisition unit and a knowledge graph multi-dimensional identification unit, condensed water of a frozen sample tube can be penetrated to accurately identify label and molecular characteristics, and'condensed water shielding 'and'label damage' are distinguished; meanwhile, a sample preprocessing state is associated, and samples which do not meet requirements are automatically intercepted. Compared with the prior art, manual secondary verification is not needed, sorting dislocation caused by optical interference of smear glass slides is thoroughly solved, the sorting precision and efficiency of mixed samples are remarkably improved, and diversified sample treatment requirements in clinical detection are met; the full-link twin operation and maintenance unit integrates key data in a sorting process through a block chain technology, and is interconnected and intercommunicated with a hospital LIS system and a sample storage system; and when the subsequent storage environment of the sample is abnormal, the quality state of the sorting stage can be reversely associated, and the compliance auditing vulnerability is eliminated.

The invention provides a TEM sample and a preparation method and application thereof.According to the preparation method of the TEM sample, on the premise that the hole structure of a semiconductor device is not affected, part of residual polymer accumulated and blocked in a hole opening in the semiconductor device is removed through reactive ion etching, so that the hole opening is expanded and not blocked any more; a protective colloid can enter a pore structure for filling and precursor material plating of atomic layer deposition is facilitated, the definition of the side wall of the pore is enhanced, and the quality and the final observation effect of the TEM sample are effectively improved; the equipment and technology adopted by the preparation method of the TEM sample provided by the invention are low in investment, and the operation process is simpler and faster than that of a Fab etching process; meanwhile, batch laboratory-scale sample treatment can also be realized; in addition, compared with a wet chemical corrosion cleaning technology for removing residual polymers, the problems of chemical reagent residues, chemical reactant pollution and the like at the bottom of the deep hole structure are avoided.

The invention discloses a method for measuring the particle size of metal powder by using a scanning electron microscope, which comprises the following steps: step 1, sample treatment: adhering a small conductive adhesive tape on a sample table, sprinkling metal powder on the adhered conductive adhesive tape, and purging to obtain the conductive adhesive tape adhered with the metal powder; step 2, parameter setting: setting acceleration voltage, working distance, diaphragm, image contrast, brightness, magnification times and scanning speed of a scanning electron microscope to observe the conductive adhesive tape adhered with the metal powder obtained in the step 1 to obtain an electronic image of metal powder particles; and processing and calculating the electronic image of the metal powder particles by using software to obtain the average particle size of the metal powder particles. According to the method disclosed by the invention, a solvent is not needed to disperse the sample, pollution of the solvent to the sample is effectively avoided, and the result is more accurate than that of directly measuring the particle size by using length software.

The invention discloses a lung injury evaluation system based on a vascular endothelial cell protection effect, and the system comprises a sample processing module which is configured to execute sample preprocessing and multi-dimensional biomarker collection operation; the feature calculation module is connected to the sample processing module and is configured to perform endothelial function core index quantification and feature extraction operation; the data fusion module is connected to the feature calculation module and is configured to execute lung injury degree and endothelial protection efficiency association mapping operation; and the strategy generation module is connected to the data fusion module and is configured to execute a dynamic risk assessment and assessment strategy generation stage. The method has the following advantages and effects: systematic fusion and dynamic analysis of multi-source heterogeneous data are realized, and quantitative association mapping between biomarkers and iconography features is established, so that the comprehensiveness and predictive ability of state evaluation are remarkably improved.

The invention discloses a method and a system for assisting rice breeding by using a lodging-resistant index, particularly relates to the field of agricultural breeding, and quantifies the lodging-resistant capability of plants by constructing an evaluation model fused with multi-source phenotypic parameters. Key character data are obtained by combining mechanical testing, manual measurement and unmanned aerial vehicle image acquisition, an LRI index is calculated through standardization processing and image recognition, resistance grading is conducted, and lodging-resistant breeding material screening is achieved. According to the method and the system for assisting rice breeding by using the lodging-resistant index, digitization and intellectualization of a rice lodging resistance evaluation process are realized, and scientificity and efficiency of evaluation are remarkably improved. And by introducing an unmanned aerial vehicle remote sensing and image recognition algorithm, the large-scale sample processing capability is improved, and the timeliness and stability of data acquisition are enhanced. A lodging risk thermodynamic diagram and a recommended breeding list can be output through a matched visual analysis function, visual reference is provided for researchers and breeding decisions, and the method has good application and popularization prospects.

The invention discloses a micro-plastic integrated intelligent detection device, which comprises: a sample pretreatment module, which comprises a sample mixing module, a filtering separation module, an enrichment concentration module and a surface modification and marking module which are communicated in sequence and is used for mixing, filtering, enriching, modifying and marking a sample in sequence; the immunoreaction module is used for performing immunoreaction on the sample and the anti-polystyrene monoclonal antibody freeze-dried product marked by the quantum dot fluorescent microspheres; the fluorescence detection module is used for carrying out fluorescence detection on the test strip subjected to the immune reaction; the automatic control module is electrically connected with the sample pretreatment module, the immunoreaction module and the fluorescence detection module and is used for controlling the operation of each module. According to the invention, the sample processing module, the reaction module, the detection module and the control module are in close cooperation, the sample enters each module in sequence after simple pretreatment, detection and result output are semi-automatically completed, frequent manual operation of different instruments is not needed, the operation steps and time are reduced, and the operation difficulty is reduced.

The invention discloses a preparation device of an electron microscope sheet sample, and belongs to the field of test and measurement. The cutting unit and the grinding unit are integrally arranged, and the feeding unit penetrates through the cutting unit and the grinding unit, so that feeding, cutting and grinding of samples can be sequentially completed by one set of device, the samples do not need to be transferred among different devices, and the sample processing quality is also improved while the sample processing efficiency is improved; in the whole set of preparation device, the working mode that the feeding unit and the grinding unit work simultaneously, the cutting unit and the receiving cavity discharge work simultaneously, and the feeding unit and the grinding unit as well as the cutting unit and the receiving cavity work alternately is achieved, and the adjacent units work alternately; according to the transmission electron microscope slice sample processing device, the preparation cohesion of feeding, cutting, grinding and discharging of a single sample is ensured, and synchronous operation of all unit components in the whole device is also ensured, so that continuous online production of transmission electron microscope slice samples can be realized, and the processing efficiency is favorably improved.

A sample processing method includes: obtaining a positive sample image; obtaining, based on the positive sample image, an anomaly labeling mask map corresponding to the positive sample image; and generating a forged negative sample image based on the positive sample image and the anomaly labeling mask map, where an anomaly region in the forged negative sample image corresponds to an anomaly labeling region in the anomaly labeling mask map. In this way, a large quantity of forged negative sample images can be automatically generated, to provide sufficient sample datasets for task detection in a scenario with scarce samples.

The invention belongs to the technical field of chemical analysis of metallurgical standard samples, and discloses a super duplex stainless steel spectrum standard sample with high quality, high uniformity, high stability and accurate fixed value and a development method thereof. The method comprises the following steps: component design and raw material proportioning, smelting and casting, forging and homogenization treatment, primary inspection of uniformity and sample processing, uniformity inspection, constant value analysis and mathematical statistics, determination of characteristic values of standard samples, stability analysis of the standard samples after long-term storage, and traceability guarantee measures. The super duplex stainless steel spectrum standard sample comprises the following components in percentage by mass: 25%-26% of Cr, 6.50%-7.50% of Ni, 3.50%-4.50% of Mo, 0.23%-0.27% of N, 0.5%-1.0% of Cu, 0.5%-1.0% of W, and the balance of iron and inevitable impurities, and the content of trace elements including sulfur, aluminum and boron is controlled in a specific ppm level range.

The utility model provides automatic dry method sample loading equipment which comprises a workbench, a powder adding module, a rotary evaporation module, a powder scraping module and a carrying mechanism, the powder adding module, the rotary evaporation module, the powder scraping module and the carrying mechanism are arranged on the workbench, the powder adding module is used for adding needed powder into a sample container, and the sample container contains a sample; the rotary evaporation module is used for carrying out rotary evaporation on the sample added with the powder and the liquid in the sample container, so that the liquid sample and the powder sample are uniformly mixed and dried to form a powder sample; the powder scraping module is used for performing powder scraping operation on the sample container and scraping the powder sample from the inner surface of the sample container; one end of the carrying mechanism is rotationally connected with the workbench, the other end of the carrying mechanism is provided with a clamping device used for clamping materials and interaction tools, and the carrying mechanism is used for interacting among the powder adding module, the rotary evaporation module and the powder scraping module. The present disclosure also provides an automated sample processing system. According to the invention, the full-automatic unmanned process can be realized, the labor cost is reduced, and the efficiency and precision are improved.

The invention relates to the technical field of model training sample processing, in particular to a sample distribution adaptive adjustment method and system based on model training feedback driving, and the method comprises the following steps: S1, collecting feedback indexes in a training process in real time in a model training period, and obtaining a feedback index set; s2, weak item categories are analyzed and recognized based on the feedback index set, and an optimization instruction is generated; s3, dynamically adjusting the sampling weight to form an updated sampling strategy; s4, samples are collected according to a sampling strategy, and weak item category samples are supplemented; s5, putting the optimized sample set into the next round of training, and circulating the steps S1 to S4 until the training indexes of the learning effects of all key categories meet the termination condition; and acquiring a sampling strategy and a sample set. According to the method, real-time, refined and automatic sampling adjustment can be realized by taking the actual performance of model training as a core feedback index, so that the training effect and generalization ability of the model in key areas such as weak-term categories and long-tail categories are improved.

The invention discloses a method for determining the content of hydrogen ions in a chloroplatinic acid solution, and belongs to the technical field of analytical testing. In order to solve the problems that the chloroplatinic acid solution is yellow after being diluted and the manual titration end point is difficult to judge, a potentiometric titration method is adopted, and the end point is determined by measuring electrode potential mutation without depending on indicator color change. The method comprises the steps of test condition preparation, burette calibration, standard solution preparation and calibration, sample treatment and titration, result calculation and the like, a full-automatic potentiometric titrator is selected, the titration volume is controlled within the range of 10-15 mL, and a sodium hydroxide standard solution is used for sample titration after calibration. The relative standard deviation of the determination result is less than 0.5%, the adding standard recovery rate is between 96.3% and 103.1%, and the method has the characteristics of high analysis speed, high accuracy and good stability, is suitable for accurate detection of hydrogen ions in chloroplatinic acid production and quality inspection, and effectively solves the defects of the traditional method.

The invention belongs to the technical field of petroleum and natural gas exploration and development, and particularly relates to a method for multi-dimensionally analyzing a layering state of a water body of an ancient lake based on lamina features. The method comprises the steps of sample treatment, biological disturbance level grading, lamina thickness statistics, PCAS-based analysis test, lamina feature FIB-SEM three-dimensional reconstruction, lamina formation cause identification of lamina microcell elements and isotope verification, and fully combines the current advanced characterization and test technology. Qualitative and quantitative analysis evaluation is carried out on the layering state of the ancient lake water body from multiple dimensions of lamina layering performance, lamina thickness, lamina characteristics and lamina formation causes, the defect that the layering state of the water body is not accurately judged in a single dimension is overcome, and the characteristics of the internal microlayers and the spatial distribution condition of the internal microlayers are more visually displayed.

The present invention discloses a magnetic nanocomposite material, a preparation method thereof, and an application thereof in the enrichment of low-abundance proteins. The magnetic nanocomposite material proposed by the present invention is Fe3O4@TS-1. Its preparation method is simple to operate. The sol-gel hydrothermal method is adopted, and the preparation is stable. The magnetic composite material Fe3O4@TS-1 is successfully synthesized. While ensuring the material properties of the TS-1 molecular sieve material, this material not only guarantees excellent protein adsorption performance but also endows it with magnetism, providing a simpler, faster, and more efficient technical method for large-scale sample processing. The enrichment of low-abundance proteins based on the magnetic nanocomposite material proposed by the present invention can be applied to almost all sample types, effectively solving the interference caused by high-abundance proteins to the identification of low-abundance proteins during mass spectrometry detection, and the number of protein identifications can be increased by 100% - 700%.

The embodiment of the invention discloses a biological sample storage management method and device applied to a biological sample library. A specific embodiment of the method comprises the following steps: acquiring transportation duration, a biological sample data set, transportation temperature data and transportation vibration data of a biological sample transportation vehicle; sorting the biological sample data in the biological sample data set to obtain a biological sample data sequence; performing sample activity detection on each piece of biological sample data in the biological sample data sequence to obtain a sample activity value sequence; generating a sample processing information sequence corresponding to each piece of biological sample data in the biological sample data sequence; establishing a corresponding sample processing task for each piece of biological sample data in the biological sample data sequence to obtain a sample processing task sequence; and performing corresponding sample processing operations on the corresponding biological samples in sequence, and storing the processed biological samples in a biological sample library for storage and management. According to the embodiment, the loss of the biological sample can be reduced.

The invention discloses a method for detecting the content of chlorophenol substances in a bamboo material and a product for food contact, and belongs to the technical field of detection. The method specifically comprises the steps of standard liquid preparation, sample treatment and sample testing. According to the method, a content and migration quantity pretreatment mode without derivatization treatment is adopted, and an ultra-high performance liquid chromatography-tandem mass spectrometry detection technology is matched, so that the method for testing the content of the chlorophenol substances in the bamboo and wood materials and products for food contact, which is simple in pretreatment process, accurate in test, efficient, rapid, high in sensitivity and high in practicability, is realized.

The invention provides a sample processing system capable of performing processing efficiently. As a technical means for this purpose, a sample processing system is used which comprises: an input / collection unit that includes an input mechanism for storing a plurality of glass slides on which samples to be subjected to dyeing processing, dehydration processing, sealing processing, or scanning processing are placed, and a collection mechanism for storing the processed glass slides; a dyeing unit that performs a dyeing process on the sample placed on the slide; a post-processing unit that performs a dehydration process, a sealing process, or a scanning process on the sample placed on the slide; and a transport unit capable of transporting the slide between the staining unit and the input / recovery unit and between the input / recovery unit and the post-processing unit, the staining unit, the input / recovery unit, and the post-processing unit being arranged in this order.

The invention relates to the technical field of meat quality detection, and discloses a fresh beef quality analysis system suitable for a beef jerky processing factory, which comprises a data acquisition module, a quality analysis module, a central control module, an early warning feedback module and a tracing linkage module, a sensor unit, a sample processing unit and a data preprocessing unit are integrated through a data acquisition module, and multiple physical, chemical and biological index data such as color, texture and pH value of fresh beef are acquired in real time in a non-intrusive manner by adopting a multi-source sensing technology, so that the comprehensiveness and reliability of quality analysis input are ensured; meanwhile, sample preparation and positioning are standardized through the sample processing unit, actual storage conditions of a processing plant are simulated, and the accuracy of data acquisition is improved; and a threshold value alarm unit of the early warning feedback module automatically triggers multi-level alarm according to a quality analysis result, so that real-time early warning and graded response of quality abnormal conditions are realized.

The invention relates to the technical field of life science, in particular to a full-automatic nucleic acid extraction system and process, and the system comprises a complete machine frame, a sample adding and waste liquid treatment mechanism, an oscillation magnetic suction heating mechanism, a control system and a screen interaction system. The sample adding and waste liquid treatment mechanism realizes three-dimensional accurate positioning through transverse and longitudinal movement guide rails and a vertical movement assembly, comprises a large piston device and a small piston device which are connected in parallel, and can flexibly switch different volumes of pipettes and share a connector; the oscillation magnetic suction heating mechanism integrates oscillation, heating and magnetic suction functions and is matched with multi-specification suction heads and kits to complete sample treatment. According to the extraction process, all the mechanisms are linked through a control system, and full-flow operation such as sample cracking, solid-liquid separation, magnetic bead purification and elution is automatically completed. The nucleic acid extraction device realizes automation and precision of nucleic acid extraction, improves the operation efficiency and the extraction effect, and is suitable for nucleic acid extraction of samples such as plant tissues, animal tissues, blood and plasmids.

The invention provides a high-throughput detection and bioinformation analysis and identification method for a human ring virus group, the method comprises the whole process from reference database construction, sample processing, high-throughput sequencing to bioinformation analysis, and the technical scheme specifically comprises the following steps: step 1, constructing a human ring virus high-quality reference database; 2, performing high-throughput sequencing on the metagenome of the human sample; and step 3, a ring virus group biological information analysis process.

The invention relates to the technical field of mass spectrometer sampling, in particular to a sampling device of an inductively coupled plasma mass spectrometer, which comprises a bottom plate, and an inductively coupled plasma mass spectrometer body is fixedly mounted at the top of the bottom plate. During application, the sample introduction mechanism adopts a first motor to drive a turntable to carry a sample during use, power is amplified through transmission of a large belt wheel and a small belt wheel, and a non-contact magnetic coupling drives a pumping spiral driving blade to rotate to generate negative pressure, so that automatic sample extraction, negative pressure control of opening and closing of a plugging plate and accurate control of a sample conveying channel are realized; by means of the design, carrying power is converted into pumping power, the equipment structure is simplified, the number of parts and energy consumption are reduced, the equipment operation and maintenance cost is reduced, an automatic continuous sample injection process replaces traditional single-pipe extraction, the sample injection time is greatly shortened, and the sample treatment efficiency is improved.

The invention relates to the technical field of medical diagnosis, and discloses an integrated nucleic acid detection method and device based on a micro-fluidic chip, the integrated nucleic acid detection device comprises a micro-fluidic chip module, a liquid control module, a temperature control module, an optical detection module and a data processing module, and the multiple modules work cooperatively to realize full-process automatic detection of a sample from splitting decomposition to detection; the micro-fluidic chip module comprises a sample treatment area, a nucleic acid extraction and purification area, a nucleic acid amplification area, a nucleic acid detection area and a waste liquid collection area which are connected through a micro-channel, and a valve is arranged at a key node. Through a fluid control mode combining centrifugal force and air pressure driving and valve combination of non-complex micro-pump micro-valves such as the dissolvable membrane valve, the temperature sensitive valve and the capillary force flow limiting valve, full-flow fluid sequential control can be achieved without integrating a plurality of micro-pump micro-valves; the problems of complex structure, high manufacturing difficulty and high cost caused by integration of multiple micro-pumps and micro-valves of the conventional pressure-driven micro-fluidic chip are solved.

The invention provides a full-dynamic non-invasive blood glucose detection method based on a full-spectrum peak segment optimization algorithm. The method comprises the following steps: step S1, performing blood glucose testing on a nail bed part of a human little finger by matching an infrared dual-wavelength semiconductor laser with a spectrograph, and recording blood glucose Raman spectrum data obtained in each blood glucose testing; step S2, carrying out pretreatment on the obtained blood glucose Raman spectrum data; s3, dividing the preprocessed blood glucose Raman spectrum data into a training set and a prediction set, analyzing through a principal component analysis method and a partial least square regression analysis method, and establishing a model; s4, inputting the preprocessed blood glucose Raman spectrum data as an independent variable into the model in the step S3, analyzing the blood glucose concentration of the human body, and giving a reference value; according to the full-dynamic non-invasive blood glucose detection method based on the full-spectrum peak segment optimization algorithm, the accuracy of quantitative analysis of a high-fluorescence background sample through a Raman spectrum is achieved, complex treatment on the sample is not needed, and the accuracy of human body non-invasive blood glucose detection is improved.

The utility model provides a sample treatment and detection device provided with a liquid transfer structure, which comprises an upper cover, a lower cover, a liquid transfer structure and a liquid transfer structure, a hollow containing space is formed by the base plate and the upper cover, a plurality of liquid containing spaces are formed in the base plate, a center shaft containing hole is formed in the center of the base plate, and a center shaft is detachably connected into the center shaft containing hole; the upper portion of the liquid transfer assembly penetrates through the center hole to be connected with the power device, and the liquid transfer assembly is driven by the power device to move in the vertical direction with the center shaft as the axis and / or rotate around the axis; the lower portion of the liquid transfer assembly is connected with a liquid suction head, and the liquid suction head is driven by a power device to achieve liquid transfer among different liquid containing spaces.

The invention relates to the field of research on hydrogen embrittlement sensitivity of metal materials, in particular to a device for detecting hydrogen embrittlement sensitivity of a metal material in pure hydrogen and hydrogen-doped environments. The whole device is divided into an upper clamp main body and a lower clamp main body which are oppositely arranged up and down, and the upper clamp main body is provided with an upper clamp upper side through hole, an upper clamp lower side through hole, an upper clamp left side through hole, an upper clamp right side through hole and a pressed rod insertion hole. The lower part clamp main body is provided with a sample fixing groove, a sealing groove, an air cavity, a lower part clamp left side ventilation channel, a lower part clamp right side ventilation channel, a lower part clamp upper side screw hole, a lower part clamp lower side screw hole, a lower part clamp left side screw hole and a lower part clamp right side screw hole. According to the device and the method, the real working condition of contact between gas phase hydrogen and a metal material in actual engineering can be simulated, the problem of experimental cost caused by equipment requirements and sample processing can be solved, and meanwhile, the operation process of an experiment can be greatly simplified.

The invention discloses a sample processing method, device and system and a storage medium, relates to the technical field of machine learning, and is used for improving the robustness and generalization ability of a network model and solving the problem of poor robustness of a network model of a neural network in related technologies. The method comprises the steps that a child node sends sample information of at least one sample to a center node, the center node receives the sample information of the at least one sample from the child node, then for each sample, indication information of the sample is generated based on the sample information of the sample, and the indication information of the at least one sample is sent to the child node, and after receiving the indication information for at least one sample from the central node, the child node processes the sample based on the indication information of each sample.

The embodiment of the invention discloses a cable insulation degradation degree evaluation method based on a scattering test and related equipment, relates to the technical field of cable quality detection, and only needs to obtain the scattering intensity of a cable insulation material, so that a large number of samples and a complex sample treatment process are not needed, and the cable sample does not need to be destructively damaged. By constructing the first relation curve among the scattering intensity, the scattering vector and the interface phase thickness parameter, the correlation among the scattering intensity, the scattering vector and the interface phase thickness parameter can be comprehensively considered, and different preset interface phase thickness parameters, the first relation curve and the preset scattering vector range are utilized; the optimal interface phase thickness parameter is determined in different preset interface phase thickness parameters, and the optimal interface phase thickness parameter can accurately represent the microstructure degradation state of the cable insulation material, so that the optimal interface phase thickness parameter is used for evaluating the structure degradation degree of the to-be-evaluated cable insulation material; and the degradation condition of the cable insulation material can be accurately reflected.

A method is proposed for sample processing. A first group of data are received, here data in the first group of data comprises a sample and a classification of the sample, and the classification belonging to a first group of classifications in a plurality of classifications associated with the data. A plurality of data with the classification are selected from the first group of data. A first and a second loss function are determined for training a classification model that represents an association relationship between samples and classifications of the samples based on a plurality of samples comprised in the plurality of data and the classification, the first and second loss functions represent classification accuracy and a feature distribution for the classification model. The classification model is trained based on the first and second loss functions. Therefore, the accuracy of the classification model may be increased.

The invention discloses a nucleic acid detection consumable processing module, a detection system and a use method, and belongs to the field of medical examination and inspection instruments and molecular diagnosis and detection instruments, the technical key points are that the nucleic acid detection consumable processing module comprises a driving module, a temperature control and clamping integrated module, an L-shaped consumable lifting bracket and a flip module; and the driving module is used for driving the temperature control and clamping integrated module to clamp / loosen a detection chip of the consumable, driving the L-shaped consumable lifting bracket to ascend / descend and driving the flip module to rotate at the same time. The invention aims to provide the nucleic acid detection consumable processing module, the detection system and the use method, and the operation of sample processing and detection is simplified.