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42 results about "Microorganism classification" patented technology

Taxonomic or other systematic or hierarchical microorganism classification systems.

System and method for intelligent water treatment micro-organism machine vision identification

The invention provides an intelligent water-treatment microorganism machine vision identification system and a method. By using artificial intelligent technology, the system and the method can real-timely shoot microscopic images of microorganism in water and carry out the steps of automatic image pre-treatment, image segmentation, microorganism characteristic parameter extraction and selection, and microorganism classification and identification. The system and the method have the advantages that optimal segmentation threshold value can be searched automatically in HIS color space by using self-adaptive image segmentation algorithm; and the classifier is designed in a voting manner to obviate the low classification accuracy by using single classifier so as to effectively improve the entire classification accuracy and accurately identify microorganisms in drinking water and urban domestic sewage. The implementation of the method can further shorten the microorganism detection period in the water treatment process and accurately predict the condition of the water-treatment microorganisms to allow the operators to take measures in time. Accordingly, the method and the system can powerfully ensure the safety of drinking water and the normal operation of urban domestic sewage treatment facility so as to achieve considerable economic and social benefits.
Owner:吴俊 +2

Method and system for classifying environmental microorganisms by image recognition technology

InactiveCN105447527AImprove classification accuracyAvoid the problem of not being able to describe the details of the local shape of microorganismsCharacter and pattern recognitionPattern recognition3-deoxyribose
The invention relates to the technical field of environmental microorganism classification, and discloses a method for classifying environmental microorganisms by an image recognition technology. The method specifically comprises the following steps: 1) constructing an environmental microorganism classification model; 2) obtaining the micrograph of the environmental microorganism which needs to be classified, selecting an area where the environmental microorganism is positioned, and adopting edge detection to obtain the edge distribution of the environmental microorganism; and 3) obtaining global shape features and local shape features, and carrying out the environmental microorganism classification by the classification model according to the global shape features and the local shape features, wherein the local shape features adopt scale invariant features. Through the construction of the classification model, the environmental microorganism classification can be realized according to graphs, the complexity of DNA (Deoxyribose Nucleic Acid) detection is avoided, the global shape features of an image are judged in a classification process, the local shape features of the image can be judged, and final microorganism classification accuracy is improved.
Owner:SICHUAN MUNIULIUMA INTELLIGENT TECH CO LTD

Sediment tracing method in river and lake system

InactiveCN110033133ASolve the problem that the degree of discrimination is not high and the source of sediment cannot be accurately distinguishedImprove efficiencyForecastingResourcesOrganismSediment
The invention discloses a sediment tracing method in a river and lake system, which is characterized by comprising the following steps of determining a source point location and a confluence point location of a sediment tracing target area; collecting a target bottom mud sample, and inputting the area and the potential sediment into the lake port point position bottom mud; extracting and collecting the DNA of the sediment sample, carrying out PCR amplification and sequencing, and carrying out microorganism classification based on a gene database; optimizing the sequencing data on the basis ofLEfSe analysis; inputting the optimized sequencing data into a biological traceability model for detection to obtain the contribution proportions of the sediment microorganisms flowing into lakes andlakes from all potential rivers to the sediment microorganisms in the target area; carrying out stability analysis on a detection result, and judging a main contribution river for silt input in the target area according to a judgment scheme; and identifying the upstream sediment source categories and areas of rivers by combining a composite fingerprint identification method. The method has the advantages of being easy to operate, wide in application range, accurate in result and high in efficiency, and has the very important significance for treatment, development and protection of the river and lake system.
Owner:HOHAI UNIV

High-adhesion-property Lactobacillus helveticus strain with immunity enhancement function and application thereof

The invention belongs to the technical field of microorganisms, and discloses a high-adhesion-property Lactobacillus helveticus strain with an immunity enhancement function. The Lactobacillus helveticus strain is named WHH2580, and is preserved in the China General Microbiological Culture Collection Center since October 23, 2019 under the preservation number of CGMCC No. 18730. The Lactobacillus helveticus strain has a classification name of Lactobacillus helveticus. The invention further discloses application of the Lactobacillus helveticus strain. The Lactobacillus helveticus strain disclosed by the invention has excellent adhesion property in both active form and inactivated form, and is capable of enhancing body immunity by improving and regulating organ index of the body as well as nonspecific immune response and specific immune response. Moreover, the Lactobacillus helveticus strain disclosed by the invention has immunity regulation effects such that corresponding compositions can be ingested so as to improve decreased immune functions by activating the immune functions.
Owner:HANGZHOU WAHAHA TECH +1

Application of lactobacillus plantarum in preparation of composition for relieving chronic inflammation of organism

The invention relates to the field of microorganisms, and discloses application of lactobacillus plantarum in preparation of a composition for relieving chronic inflammation of an organism. The lactobacillus plantarum is named as 1701, is preserved in China General Microbiological Culture Collection Center on October 23, 2019, has a preservation number of CGMCC No.18728, and is named as lactobacillus plantarum based on classification of microbes. The adopted lactobacillus plantarum can adjust the levels of a cell factor IL-12, an anti-inflammatory factor IL-10 and a proinflammatory factor (including IL-1beta, IL-6, TNF-alpha, MCP-1 and NO) at the same time, so that the lactobacillus plantarum can adapt to chronic inflammation caused by different reasons, and diseases caused by the chronicinflammation can be prevented more comprehensively.
Owner:HANGZHOU WAHAHA TECH

Method and system for early risk assessment of preterm delivery outcome

System and method for assessing preterm delivery risk for pregnant subject is disclosed. Existing preterm delivery risk assessment methods provide results in late second or third trimester of pregnancy, so little time is available for medical advice. Presently disclosed method and system predict preterm delivery risk within 15 weeks of pregnancy. Microbiome characterization data obtained from microbiome sample from pregnant subject. 'Microbial taxonomic abundance profile' generated from microbiome characterization data, contains abundance values of microbes present in the microbiome sample. 'Taxonomic Composition Skew' value, and distribution characteristic value for 'microbial taxonomic abundance profile', quantifying biases in abundance values of microbes from the microbial taxonomic abundance profile, is computed. Risk of preterm delivery is determined based on the distribution characteristic value or 'taxonomic composition skew' value of the set DSR, wherein the set DSR comprises values quantifying biases in the abundance values of microbes from the microbiome sample.
Owner:TATA CONSULTANCY SERVICES LTD

Extremely thermophilic bacteria and application thereof in high-temperature composting fermentation

The invention relates to the fields of microbial technology and environmental engineering, and discloses extremely thermophilic bacteria and application thereof in high-temperature composting fermentation. The extremely thermophilic bacteria are named as GW-2, the preservation number of the extremely thermophilic bacteria is CGMCC 18012, and the microbial classification name is Chelativorans composti. The bacterial strain can normally metabolize and grow under the condition that the temperature is 40-105 DEG C, the pH is 5-11 and the salinity is 0-7%, and can grow by utilizing multiple carbonsources and nitrogen sources, and the substrate spectrum is very broad. The bacterial strain, supplemented by a special high-temperature composting process, can be used for high-temperature aerobic composting treatment of varieties of organic matter such as kitchen waste, agricultural-product tailings and slaughter-house waste, so that the organic matter is completely humified, dehydrated and dried, the weight is reduced by 70-92%, and finally, an organic fertilizer with excellent quality is formed.
Owner:HANGZHOU XIUCHUAN TECH CO LTD

Microbial information interpretation method and device, equipment and storage medium

The embodiment of the invention discloses a microbiological information interpretation method and device, equipment and a storage medium. The method comprises the following steps: acquiring microbiological information and specimen information input by a user at a client; determining microorganism classification information in the microorganism information by utilizing a preset logic classification tree, the microorganism information and the specimen information; if the microorganism classification information comprises the possible pathogenic bacteria, determining to-be-inquired questions corresponding to target microorganisms in the logic classification tree according to the target microorganisms corresponding to the possible pathogenic bacteria, and returning the to-be-inquired questions to the client; performing microorganism classification on the target microorganisms according to the answers and the logic classification tree, and determining target classification information of the target microorganisms; and according to the microorganism classification information and the target classification information, determining a microorganism classification result corresponding to each microorganism in the microorganism information, and returning the microorganism classification result to the client. By means of the method, the accuracy of microorganism classification can be improved.
Owner:GUANGZHOU KINGMED DIAGNOSTICS CENT +1
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