282 results about "Bacterial colony" patented technology

The invention discloses a system and method for identifying microbial contamination in food and cosmetics based on AI identification, and the method comprises the steps: collecting to-be-detected food or cosmetics as a detection sample, and obtaining the bacterial colony growth state of microorganisms in the detection sample; the method comprises the following steps: acquiring a microbial growth image through microscopic imaging equipment, and preprocessing the microbial growth image to obtain a target area of a microbial colony; constructing an AI recognition model by adopting a convolutional neural network, and obtaining the species and quantity of microorganisms in the detection sample; parameters of the AI recognition model are adjusted in real time according to the types and the number of the microorganisms, a preset microorganism limited standard threshold value is combined, a visual analysis report is generated, the AI recognition model is combined with a Faster R-CNN target detection method, precise classification and number statistics of the types of the microorganisms are achieved, a complete microorganism pollution analysis report is formed, and the method is suitable for popularization and application. And the accuracy and scientificity of the final identification result are improved.

The invention discloses low-temperature-resistant and high-salt-resistant aerobic pseudomonas kirschner kirschner K2 as well as a preparation method and application thereof. The preparation method comprises the following steps: carrying out low-temperature and high-salt enrichment culture; screening and domesticating, and monitoring the concentration of ammonia nitrogen; and after 3-5 times of enrichment culture, diluting the enrichment culture, further culturing until a macroscopic bacterial colony is obtained, and then picking and carrying out plate streaking to separate a pure strain. The invention also relates to application of the strain in preparation or prevention of nitrification and denitrification nitrogen removal drugs in treatment of high-salt nitrogen-containing wastewater. The strain is low-temperature-resistant and high-salt-resistant heterotrophic-aerobic denitrifying bacteria, has the characteristic of low temperature resistance, grows well at low temperature and high salt salinity, has higher heterotrophic nitrification-aerobic denitrification nitrogen removal capacity, is suitable for nitrogen removal treatment of high-salt wastewater such as food processing wastewater and landfill leachate, and has wide application prospects. The superiority is particularly obvious under a low-temperature condition.

The invention belongs to the technical field of plant disease control, and particularly relates to bacillus velezensis and application thereof. The bacillus velezensis strain is separated and screened from rhizosphere soil of wheat in a main wheat area in Hebei Province, the growth characteristics and physiological and biochemical characteristics of the bacterial colony are identified, then 16S rDNA sequencing is carried out, Blast homology comparison is carried out in a GenBank database, the bacterial strain is identified to be bacillus velezensis through the analysis, and the bacillus velezensis strain is identified to be bacillus velezensis. The fungicide containing the bacillus velezensis has a good prevention and treatment effect on wheat stem rot through seed coating.

The invention discloses lactobacillus plantarum capable of relieving enteritis and toxicity of polystyrene nano-plastics, and the preservation number of the lactobacillus plantarum is CGMCC (China General Microbiological Culture Collection Center) NO.31420. The lactobacillus plantarum can be used for relieving enteritis and toxicity of polystyrene nano-plastics. The strain is obtained by separating and purifying baby feces, and can grow on an MRS culture medium, and the bacterial colony is round, off-white, smooth and opaque. Experiments show that the lactobacillus plantarum can effectively adsorb PS-NPs, promote the PS-NPs to be discharged along with excrement, reduce accumulation of the PS-NPs in organs, and significantly reduce toxicity and inflammatory response of organs such as liver and kidney of mice. In addition, the strain can repair the intestinal barrier function, regulate liver metabolism and relieve enteritis symptoms. The invention further provides a probiotic preparation containing the strain, and the probiotic preparation can be prepared into granules, capsules, tablets or oral liquid and the like and is used for preventing or treating intestinal injury and inflammatory diseases caused by PS-NPs. The strain is safe and efficient, and has a wide application prospect.

The embodiment of the utility model provides mural degerming equipment, which relates to the technical field of cultural relic protection, is used for being matched with a cleaning soft brush for use, and comprises a box body, a vacuum pump, a purification mechanism and a negative pressure pipe. The vacuum pump, the purification mechanism and the negative pressure pipe are all installed in the box body, the negative pressure pipe communicates with the vacuum pump through the box body, and the vacuum pump is used for generating negative pressure in a pipe cavity of the negative pressure pipe. The negative pressure pipe is provided with an adsorption end located outside the box body, and the adsorption end is used for facing the mural body to form a negative pressure area on the mural body. And the purification mechanism is used for purifying gas sucked through the adsorption end. By means of the design of the device, diffusion and propagation of bacterial colonies in the cultural relic cleaning process can be reduced, pollution to the environment is reduced, and the adverse effect on the health of operators during cultural relic maintenance is reduced.

The invention discloses an artificial cultivation method of xylaria fungus sclerotium, and relates to the field of sclerotium cultivation. The method comprises the following steps: collecting xylaria producing sclerotia, obtaining spores by adopting a spore separation method or obtaining core tissues by adopting a tissue separation method, inoculating the spores or the core tissues on an enriched PDA culture medium to be cultured into bacterial colonies, selecting hyphae with vigorous growth vigor at the edges of the bacterial colonies, and performing purification culture until a mother strain only containing a single strain is obtained; performing gene sequencing to identify the strain; propagating the mother strain to obtain an original strain, inoculating the original strain into a sterilized solid culture medium, culturing in a dark place to obtain a cultivated strain, placing the cultivated strain on soil, reserving a space for sclerotium development around the cultivated strain, culturing in the dark place for 33-90 days, and harvesting the sclerotium. The xylaria sclerotium with single germplasm can be cultivated on a large scale, and the problems of wild resource shortage and germplasm mixing are effectively solved.

The invention relates to the technical field of raw milk detection, and discloses an automatic detection device for a raw milk sample, and the automatic detection device comprises a mechanical arm mechanism, an information acquisition mechanism, an incubation mechanism, a detection mechanism and a control mechanism. According to the embodiment of the invention, by arranging the mechanical arm mechanism, the mechanical arm mechanism can be used for automatically taking the sample, so that manual operation is not needed. By arranging the incubation mechanism, batch incubation and batch cleaning of the sample cups can be carried out, ultrasonic treatment can be carried out, the incubation rate and the cleaning rate are increased, and the cleanliness of the sample cups can be improved. Furthermore, according to the embodiment of the invention, the detection mechanism is arranged, so that the samples can be detected in batches, various items such as a raw milk viscosity item, a raw milk bacterial colony total number item and a raw milk somatic cell item can be detected at the same time, and compared with the current manual single item detection, the detection efficiency can be obviously improved.

The invention belongs to the technical field of aquatic product living body transportation, and particularly relates to a soft-shell crab transportation method. The method comprises the following steps: screening and cleaning, softening-keeping treatment, fresh-keeping treatment, microenvironment regulation and treatment after transportation. In the softening treatment, 0.1-3 PSU low-salt seawater containing 0.03%-0.08% of tetrasodium glutamate diacetate is used for soaking / covering, the fresh keeping is ethanol disinfection and 0.05%-0.30% of lemon grass oil emulsified spray, the temperature of the microenvironment is controlled to be 12-18 DEG C, the humidity is 85%-95%, and the oxygen content is 20.90-22.30%. After 72 hours of simulated transportation, the softness-keeping maintenance rate is greater than or equal to 88%, the survival rate is greater than or equal to 98%, the body surface bacterial colony inhibition rate is 91.4%, and the TVB-N value is 15.2 mg / 100g. The method realizes the synergy of softening, fresh keeping and live keeping, is suitable for large-scale transportation, and has high popularization value.

The invention discloses a method for producing 5-aminolevulinic acid by inhibiting expression of a global transcriptional regulatory factor gene mcbR in corynebacterium glutamicum. The method comprises the following steps: (1) constructing a pCRISPRi-mid-McbR plasmid and a pCRISPRi-high-McbR plasmid; (2) respectively introducing the plasmids into corynebacterium glutamicum Cgh3 through electrotransfection, verifying by using a bacterial colony PCR (Polymerase Chain Reaction) mode to obtain an expression strain Cgh3-m-McbR or Cgh3-h-McbR for inhibiting a global transcriptional regulation factor gene mcbR in the corynebacterium glutamicum, and fermenting to obtain 5-aminolevulinic acid; experiments prove that compared with a control strain Cgh3-pXi, the strain for inhibiting the expression of the global transcriptional regulation factor gene mcbR in corynebacterium glutamicum has the advantage that the yield of 5-aminolevulinic acid is increased by 1.27 times or more after fermentation.

The invention relates to a strain of Chryseobacterium sp. ZJUHULYY1 and application of the Chryseobacterium sp. ZJUHULYY1 in promotion of corn growth and iron absorption, and provides a strain of Chryseobacterium sp. ZJUHULYY1, which is preserved in China Center for Type Culture Collection on April 27, 2025, and has a preservation number of CCTCC NO: M 2025904. The strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn, and the strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn. The biological characteristics of the strain are as follows: after being cultured in an LB plate culture medium at 30 DEG C for 24 hours, the bacterial colony is round or oval, golden yellow, smooth and glossy in surface, neat in edge and negative in gram staining; when the strain is inoculated to rhizosphere of corn growing in calcareous soil, compared with a control group, the plant height, chlorophyll content, biomass and active iron content of the corn are all remarkably improved, the growth condition of the corn in the calcareous soil is effectively improved, and the absorption and utilization efficiency of the corn on iron elements is improved.

The invention relates to the technical field of detection, in particular to a high-throughput bacterial colony detection sensor based on multi-mode optics and spectrum fusion and a detection method thereof.The method comprises the steps that data of a bright field image, a multi-channel fluorescence image and a near infrared spectrum of a bacterial colony to be detected are collected, and metadata in the collection process is recorded synchronously; preprocessing the data, and extracting multi-dimensional features of bacterial colonies from the preprocessed data; performing fusion processing on the multi-dimensional features in combination with space-time sequence information; identifying and classifying bacterial colonies according to the fused multi-dimensional features; and generating a detection report containing traceability information according to a result after identification and classification. Through multi-modal synchronous data acquisition, targeted data preprocessing, multi-dimensional feature fusion and standardized recognition and classification, high-throughput accurate detection of bacterial colonies is realized, manual intervention is reduced, and reliability and traceability are improved.

The invention provides a bacterial colony heterogeneous data separation method and device, equipment and a storage medium. Relates to the technical field of microbial colony heterogeneous data separation. The method comprises the following steps: performing hierarchical clustering on microbe single-cell Raman spectrum data to identify outliers; based on the outliers, performing de-noising processing on the single-cell Raman spectrum data of the microorganisms to obtain de-noised data; performing spectral clustering based on the de-noised data to obtain a spectral clustering result; wherein the spectral clustering result is used for identifying or marking bacterial colony cells in different growth periods; and evaluating the spectral clustering result by using a contour coefficient and a CH index to determine an optimal clustering number, and performing spectral clustering on the de-noised data based on optimal clustering data to obtain a final clustering result. According to the method, outlier detection, pruning optimization, spectral clustering and quantitative evaluation are combined, so that the precision and stability of microbe heterogeneity analysis are remarkably improved.

The invention relates to the field of environment and agricultural biotechnology, in particular to a phosphorus-solubilizing fungus, a phosphorus-solubilizing microbial inoculum and application thereof.The classification name of a phosphorus-solubilizing fungus strain XF2 is Penicillium deserticola, the strain XF2 is preserved in China General Microbiological Culture Collection Center (CGMCC) on January 9, 2025, and the preservation number is CGMCC NO: 41748. The bacterial colony characteristic of the strain XF2 is round, the edge is in a winding texture fluffy shape, the bacterial colony is yellow green or grey green, the surface is relatively smooth, and the bacterial colony can grow in a feather shape or a radial shape. Besides, after the strain XF2 is subjected to culture condition optimization, the phosphorus solubilizing amount can reach 874.3 mg / L. Therefore, the phosphorus solubilizing fungus has the advantage of high phosphorus solubilizing capacity, can be used for preparing a phosphorus solubilizing bacterial agent, has a very good application prospect, and particularly has a good application prospect in the aspects of dissolving phosphate ore and developing a phosphorus solubilizing fungus fertilizer.

The invention relates to the technical field of bacterial colony classification, in particular to a bacterial colony classification method and device based on an attention convolutional network and a computer readable medium, and the method comprises the steps: obtaining common bacterial colony images in food; labeling and enhancing the bacterial colony image to obtain an enhanced image; dividing the enhanced image into a training set, a test set and a verification set; training and verifying the attention convolutional network according to the training set, the test set and the verification set; and classifying bacterial colonies to be detected by adopting the attention convolutional network which passes the verification. The fusion space attention module, the self-attention module and the channel attention module are embedded into the Unet network. The technical problem of low bacterial colony classification accuracy in the prior art can be at least solved.

The invention discloses serratia marcescens serving as a biological control bacterium and application of the serratia marcescens in preparation of a soybean sclerotinia rot control agent, and belongs to the technical field of agricultural microbiology. The strain is preserved in the China Center for Type Culture Collection on November 29, 2024, the preservation number is CCTCC M 20242667, the strain is classified and named as Serratia marcescens G4, the bacterial colony is red, the surface is thick, smooth and moist, the bacterial colony is slightly glossy and opaque, and the strain can be used for preparing a soybean sclerotiniose control agent. The G4 strain can inhibit the growth of sclerotinia sclerotiorum and change the form of hyphae. Experiments prove that the serratia marcescens G4 separated from soybean rhizosphere soil is an effective biocontrol strain for preventing and treating the soybean sclerotiniose, and compared with the conventional chemical synthesis pesticide for prevention and treatment, the serratia marcescens G4 has the advantages of high efficiency, low toxicity, no environmental pollution, difficulty in generating drug resistance and the like, and has a wide application prospect and a good application value.

The invention discloses a rapid pathogen identification method and system, and belongs to the technical field of medical information processing. According to the method, space-time growth discrimination operation, multi-scale structure perception operation and microscopic focusing classification operation are combined, the dynamic trend of bacterial colonies from appearing to diffusion is accurately captured, low-contrast textures of micron-scale initial spots and the complex structure of millimeter-scale mature bacterial colonies are considered, a refined space context correlation model is established, and the dynamic trend of the bacterial colonies from appearing to diffusion is obtained. The method solves the problems that a traditional single-frame analysis method is insufficient in continuous modeling of the growth process and early-stage features are confused, the detection sensitivity of early-stage minute colonies is improved, rapid and accurate identification of pathogenic bacteria types is achieved, and the identification requirements in clinical rapid detection and complex microbial environments are met.

The invention relates to the field of artificial intelligence and microbial separation, and discloses a bacterial colony image recognition method, device and equipment based on a deep learning model, and the method comprises the steps: obtaining the mass center position and the bacterial colony area of a current bacterial colony, taking the mass center position of the current bacterial colony as the center point position, drawing a bounding rectangle corresponding to the current bacterial colony, and obtaining the bounding rectangle; selecting the coordinate of the external rectangle corresponding to the current bacterial colony as the current coordinate; selecting an image area where the current bacterial colony is located as a current bacterial colony image through the current coordinate; identifying the current bacterial colony image through the trained deep learning model to obtain a current bacterial colony category corresponding to the current bacterial colony image; transmitting the mass center position, the bacterial colony area, the current bacterial colony category and the bacterial colony height to a control system, and performing inoculation operation on the current bacterial colony through the control system. The identification efficiency of the current bacterial colony image and the inoculation efficiency of the current bacterial colony can be improved.

The invention discloses a low-temperature hot air drying preparation process of low-sugar preserved mangoes. The preparation process comprises the following steps: S1, pretreating mangoes; s2, blanching is conducted; s3, hardening and color protection; s4, rinsing is carried out; s5, performing sugaring; s6, sugar draining; s7, drying; and S8, cooling. The sensory score of the product prepared by the process is 86.96, and the product is golden in color, rich in fragrance and palatable in sour and sweet taste. The total sugar content is 35.88% and is obviously lower than that of the traditional high-sugar preserved fruit. And the water content is 21.78%. The hardness is 3216.35 + / -g, the cohesiveness is 0.88, the chewiness is 3155.35, the resilience is 0.56, and the texture property is good. The total bacterial colony number 1t; 10 CFU / g, and coliform bacteria are not detected.

The invention relates to the field of image processing, in particular to a probiotic tablet production traceability method and system, and the method comprises the steps: building a traceability matrix through collecting the data of temperature and humidity, pH, equipment number, pressure and the like in each link of strain selection, culture amplification, fermentation, drying, formulation, forming, coating, quality inspection, packaging and the like; the method comprises the following steps of: acquiring a bacterial colony image through high-definition camera shooting, extracting geometric and textural features of the bacterial colony through preprocessing, watershed and dynamic threshold algorithms, forming supplementary parameters, finally splicing all data, generating a unique traceability code through SHA-256 Hash, spraying the unique traceability code on a packaging unit, and meanwhile, performing uplink evidence storage, thereby realizing full-process product traceability. And quality safety is guaranteed. According to the method, data of each link and a bacterial colony image are integrated, features are extracted through a dynamic threshold watershed, and a traceability code is generated through SHA-256 encryption.

The invention provides a microbial experiment bacterial colony image processing method, and belongs to the field of image enhancement. Through combination of a student enhancement network and a mean value teacher auxiliary learning network, limited labeled data and a large amount of unlabeled data are fully utilized; the student enhancement network extracts image features and generates enhanced potential variables, and the mean value teacher network generates pseudo tags through nonlinear transformation and adaptive regularization to guide learning; a Gaussian process regression loss module is introduced, a learning process is optimized by combining weighted errors and covariance matrix uncertainty measurement, and overfitting is avoided; the optimization potential variable selection module screens a high-quality potential variable set based on the peak signal-to-noise ratio and diversity score; the multi-loss function module combines the L1 loss, the SSIM loss and the perception loss to carry out weighted optimization so as to further improve the image enhancement effect; the method is superior to the prior art in the aspects of precision, robustness and applicability, and is suitable for high-quality image processing requirements in microbiological experiments.

The invention discloses a micro-ring plasmid synthesis method, and belongs to the technical field of gene editing. Two pairs of primers are designed, eukaryotic expression plasmids containing selection markers and target fragments are used as templates for PCR amplification to obtain two target fragments, vector plasmids loxp-R6K with specific sequences and the target fragments form recombinant plasmids, the recombinant plasmids contain sequences such as the target fragments, restriction enzyme cutting sites and R6K replication start sites, and the recombinant plasmids are used for preparing the recombinant plasmids. The recombinant plasmid is transformed in Escherichia coli GT115 competent cells, the recombinant plasmid is verified to have the recombination efficiency of 81% after bacterial colony PCR amplification, a correctly cloned seed solution is screened and subjected to induced expression to form a bacterial solution containing a screening-label-free micro-plasmid, the micro-ring plasmid is separated and purified, and the screening-label-free micro-ring plasmid is obtained. The sequence of the microring plasmid only contains a target fragment and an R6K replication start site, the accuracy of the size sequence of the microring plasmid in a bacterial colony cultured and cloned by the microring plasmid is as high as 90%, and the microring plasmid can be efficiently and stably obtained.

The invention relates to the field of microorganism screening, in particular to a microorganism screening method capable of improving saline-alkali soil crop stress resistance and application thereof.The microorganism screening method comprises the following steps that S1, in saline-alkali soil with Na < + > larger than 0.6% and pH 8.5-10.0, suaeda glauca rhizosphere soil and root system tissue are collected and inoculated to 0.6 moL / L NaCl, and the saline-alkali soil is inoculated to a culture medium; in a liquid culture medium with the pH value of 8.0, through a gradient saline-alkaline stress enrichment-bifunctional bacterium collaborative screening technology and in combination with an embedding matrix and modified biochar compounded microbial screening agent, compared with the prior art, salt ion adsorption, flora survival rate improvement, root system nitrogen fixation and phosphate solubilizing bacterium standard-reaching rate improvement and crop biomass increase are synchronously realized, and the yield of the crops is increased. And moreover, the toxicity of salt ions is remarkably reduced, the soil micro-ecology is systematically optimized, and the method has a wide application prospect in marginal land agricultural development and saline-alkali soil ecological restoration.

The invention provides a multi-needle picking head independent driving control device for high-throughput bacterial colony screening, which comprises an X-direction valve block arranged along the Y-axis direction of a gas circuit board and a Y-direction valve block arranged along the X-axis direction of the gas circuit board, and the Y-direction valve block is provided with a cylinder driving control gas inlet; a plurality of valve element switching control valves are arranged on the X-direction valve block at intervals, a valve element switching control air inlet is formed in the X-direction valve block, and a plurality of control valve elements are arranged in the air path plate. The Y-direction valve block is provided with a plurality of air cylinder driving control valves, an air cylinder control hole is formed in the air cylinder plate corresponding to the X-direction coordinates of each group of valve element switching control valves and the Y-direction coordinates of the air cylinder driving control valves, an air cylinder is installed on each air cylinder control hole, and the air cylinder driving control valves and the valve element switching control valves are electrically connected with a central control system. Power-on and power-off of the electromagnetic coil of the control valve are switched through the control valve element, the multiple needle picking heads are independently driven to operate, and then the action of picking bacterial colonies is achieved.

The invention discloses an on-line bacterial colony counting device for a disinfection tank. The on-line bacterial colony counting device comprises a counting mechanism, a cover body shell, a control operation table and a culture dish storage mechanism, the cover shell is arranged on the front side of the top of the counting mechanism. The two culture dish storage mechanisms are arranged at the rear ends of the left side and the right side of the outer portion of the counting mechanism correspondingly. The on-line bacterial colony counting device for the disinfection tank realizes full-process automation from sample culture, specified sample taking, transferring and positioning to double-sided counting, greatly reduces the manual intervention intensity, avoids pollution and subjective errors caused by manual operation, improves the counting working efficiency, is suitable for continuous treatment of batch samples, and improves the working efficiency. And through the design that angle adjustment is matched with double-sided synchronous counting and sample rotation covers the whole area, impurity interference is effectively eliminated, counting dead angles are eliminated, and the comprehensiveness and accuracy of a counting result are improved.

The application discloses a chromogenic culture medium for detecting enteropathogenic Escherichia coli, which contains peptone, sodium pyruvate, sodium chloride, D-sorbitol, D-malic acid, bile salt, dipotassium hydrogen phosphate, potassium dihydrogen phosphate, sodium hydroxide, kaolin, bromothymol blue, crystal violet, polyethylene glycol and agar, and the rest is water. The chromogenic culture medium is simple in composition, convenient to prepare and use, and can be used for identifying enteropathogenic Escherichia coli EPEC according to the color of bacterial colonies, and has the advantages of specificity, high efficiency, rapidness, low cost, simple result judgment and the like, and has a wide application prospect in food safety monitoring.

The invention discloses a method for rejuvenating a hirsutella hepialid strain, which specifically comprises the following steps of: step 1, inoculating a degenerated hirsutella hepialid strain into an extractable stroma culture medium, and culturing until aerial hyphae are generated on the surface of a bacterial colony; 2, performing variable-temperature stimulation on the bacterial colonies grown in the step 1, and producing sporocarp on the bacterial colonies; step 3, taking out the sporocarp in the step 2, performing tissue isolation, inoculating the sporocarp into a PDA culture medium, and culturing until the diameter of a hirsutella hepialid colony is 3cm; and 4, inoculating the hirsutella hepialid strain in the step 3 into a shake flask liquid culture medium with the inoculation amount of about 1cm < 2 > of bacterial colony, filtering and collecting mycelium after culture is completed, and drying and detecting. Compared with a strain before rejuvenation, the strain rejuvenated by the method disclosed by the invention has the advantages that the mycelium yield and the content of active ingredients in bacterial powder are remarkably improved.

This invention discloses a culture medium for manganese-oxidizing bacteria suitable for low-carbon source environments in water supply networks and its application. The culture medium is prepared by mixing ferric ammonium citrate, manganese sulfate, ammonium sulfate, sodium chloride, magnesium sulfate, dipotassium hydrogen phosphate, and sodium nitrate, followed by high-temperature and high-pressure sterilization to obtain a culture solution. Manganese sulfate is added to the culture solution to obtain the manganese-oxidizing bacteria culture medium. Manganese-oxidizing bacteria are screened using this culture medium. Cast iron pipe scale is subcultured in the medium to enrich the manganese-oxidizing bacteria culture solution. The enriched manganese-oxidizing bacteria culture solution is diluted and spread onto agar solid medium, and incubated at a constant temperature to obtain manganese-oxidizing bacteria colonies. This invention solves the problem of altered bacterial physiological metabolism caused by high concentrations of added manganese ions, effectively improving bacterial activity and manganese oxidation capacity.

The invention relates to a high-temperature-resistant auricularia delicata strain Adel 27, which has a preservation number of CCTCC NO: M 2025114, is dense in bacterial colony, long in growth period, high-temperature-resistant, single-piece clustered in sporocarp, small in auricular base, light brown in auricular piece and soft in texture, and can be used for auricularia delicata cultivation and breeding. The cultivated auricularia plicata is high in nutrient substance content, can turn moisture for 3-4 times, can greatly improve the yield and reduce the cost, and is suitable for a factory large-scale production mode of one-time harvesting.

The invention discloses a microorganism recognition and picking method, device and system and a storage medium, and the method and device specifically comprise the steps that a plane image of a culture dish carrying microorganisms is collected, and the plane image comprises a culture dish image and the microorganisms to be recognized; the plane image is recognized, a to-be-recognized area is obtained, and the to-be-recognized area is the minimum circumscribed polygon of the culture dish; identifying the to-be-identified area based on the bacterial colony segmentation model to obtain a bacterial colony gray level image comprising a plurality of bacterial colony areas; performing morphological parameter calculation on the bacterial colony class grayscale image, and obtaining a picking position parameter of each class of bacterial colony area in the bacterial colony class by using a bacterial colony class morphological classifier; and controlling the picking equipment to pick the microorganisms based on the picking position parameters. According to the scheme, the microorganisms can be automatically picked, so that the identifying and picking efficiency is improved.

The application discloses a kind of multi-modal bacterial colony sample autonomous learning classification identification method and system based on diffusion model, it is related to computer vision technical field, by being input into multi-modal bacterial colony sample classification model to multi-modal bacterial colony sample, obtain classification result;First, the application is by the feature fusion of multi-modal sample input, the correlation between different modalities is in-depth mined, and the semantic information of multi-modal is fully utilized.Secondly, the application combines diffusion model, and the multi-modal bacterial colony sample is classified after being denoised using diffusion model, which is conducive to eliminating inherent noise in multi-modal data samples and interference introduced by human operation errors, and is more conducive to learning.Finally, the application combines autonomous learning, and the model can complete the automatic labeling of new multi-modal samples, can select the most suitable multi-modal sample for training and learning, and continuously improve the robustness of multi-modal bacterial colony sample classification model.