36 results about "Colony counting" patented technology

Aspects of the present disclosure relate to a method of colony enumeration. The method includes identifying colony forming units of microorganisms in a combined image using a pretrained deep learning model on a colony enumeration device. The method can include providing a plurality of identification characteristics of the colony forming units to an interaction component such that the interaction component can project at least some of the plurality of identification characteristics onto the combined image.

The invention relates to the technical field of image processing, in particular to a bacterial colony counting method based on color space clustering and omni-directional gradient scanning, which is based on an asymmetric clustering model of an HSV color space and combines with an optimized K-means algorithm to realize accurate separation of bacterial colonies and complex backgrounds. Then constructing a geometric center identification system, and predicting all possible colony centers as seed points by using Euclidean distance transformation and a dynamic threshold adjustment mechanism; further, through target class screening evaluation of omnidirectional gradient scanning, a target irregular bacterial colony area is screened out; and finally, introducing a watershed distance-edge constraint algorithm to realize accurate segmentation of high-density bacterial colonies. The reliability of the counting result is ensured through mass center coordinate verification and result visualization optimization. According to the method, the recognition capability of semitransparent bacterial colonies and edge fuzzy targets is remarkably improved, the stable counting performance is still kept under the scene of complex illumination and high-density bacterial colonies, the manual intervention requirement is greatly reduced, and the detection efficiency and the automation level are improved.

The present application relates to the technical field of analytical detection, and in particular to a detection method of Geobacillus thermophilus in raw milk based on real-time fluorescent quantitative polymerase chain reaction. The detection method of the present application is based on nucleic acid specific detection mechanism, which replaces the phenotype culture mechanism, realizes the rapid and accurate quantification of the target bacteria, and replaces the time-consuming and inaccurate colony counting. Through the design of specific primers and probes, the species level specificity identification is realized, and the problem that the traditional method cannot distinguish the specific contaminated bacteria is solved. Through the optimization of the pretreatment method, the sensitivity of the detection method is greatly improved. The detection method of the present application shortens the detection time, realizes the leap from "days" to "hours", greatly improves the detection efficiency, and has a wide application prospect.

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 present specification relates to a technology for dividing colonies from an input image, counting clone-forming units (CFUs), displaying information about the size of each of the colonies, and displaying information about an actual area of each of the colonies. A colony analysis apparatus according to an embodiment of the present specification may: receive an image related to clonogenic assay; receive, as selected by a user, the deepest colony and the lightest colony in the image; measure HSV values of colonies in the image on the basis of the selected deepest colony and lightest colony, and define a range of the HSV values of the colonies; divide and analyze the colonies in the image on the basis of the HSV values of the colonies and the range of the HSV values of the colonies; and output an analysis result including information about the size of each colony and CFUs information displayed by counting the clone-forming units (CFUs) of the divided colonies.

1. Name of the product in this design: Colony Analyzer. 2. Application of this design: This design integrates image acquisition, data processing and statistics, and is widely used in colony counting in the fields of food, pharmaceuticals, cosmetics, environmental monitoring, medical and health care, and scientific research institutions. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. Due to the difficulty in viewing the top view, the top view is omitted.

The present application relates to the technical field of image processing, in particular to a colony counting method based on color space clustering and omni-directional gradient scanning, an asymmetric clustering model based on HSV color space, combined with an optimized K-means algorithm to realize accurate separation of colonies and complex backgrounds; subsequently, a geometric center identification system is constructed, and all possible colony centers are predicted as seed points by using Euclidean distance transformation and dynamic threshold adjustment mechanism; further, through target class screening evaluation of omni-directional gradient scanning, the target irregular colony area is screened out; finally, a watershed distance edge constraint algorithm is introduced to realize accurate segmentation of high-density colonies. The present application is verified by centroid coordinates and result visualization optimization to ensure the reliability of the counting result. The present application significantly improves the recognition ability of semi-transparent colonies and edge fuzzy targets, and still maintains stable counting performance in complex lighting and high-density colony scenes, greatly reduces the demand for manual intervention, and improves the detection efficiency and automation level.

The invention discloses a bacillus subtillis colony morphology identification and counting method based on deep learning, and relates to the technical field of microbial colonies, the method comprises the following steps: obtaining a colony image of to-be-identified bacillus subtillis; inputting the bacterial colony image into a trained bacterial colony detection model; outputting a form recognition result of the bacterial colony image by the bacterial colony detection model; counting bounding boxes of all bacterial colonies in the form recognition result to obtain a bacterial colony counting result and outputting the bacterial colony counting result; the bacterial colony detection model is based on a deep learning target detection model and is obtained by training a data set of bacillus subtillis bacterial colony images of various morphological categories. According to the method, the bacterial colony detection is realized based on the trained model through the image data set specially constructed by the polymorphic features of the bacillus subtillis, so that the technical problems that a traditional bacterial colony recognition technology depends on manpower and is low in efficiency are solved, accurate and automatic recognition and counting of bacterial colony morphology are realized, and the detection efficiency is improved. The efficiency and the reliability of microbial phenotype analysis are improved.

The invention relates to the technical field of bioassay, and discloses a total bacterial colony number detection assembly and a bioassay system.The total bacterial colony number detection assembly comprises a sample area, a diluent area, a preparation container area, a carrier area, an incubator, a conveying device and a bacterial colony counting device which are arranged on a platform. A space moving device is arranged on the platform, is connected with the grabbing mechanism and the pipette, and is suitable for driving the grabbing mechanism and the pipette to move in a space above the platform. The grabbing mechanism is suitable for grabbing objects, the pipette is suitable for sucking and discharging liquid, the conveying device is a linear module with a tray arranged on a moving part, the tray is suitable for placing a carrier, and the linear module can drive the tray and the carrier to move between a first position and a second position to enter and exit from the incubator. The total bacterial colony number detection assembly can replace manual work to carry out the partial detection process of the total bacterial colony number, and compared with the mode that the total bacterial colony number is detected completely manually, the working efficiency is higher, and the accuracy is better.

The invention discloses a water sample automatic culture and total bacterial count determination system and method, the system comprises a shell and a central control unit, the interior of the shell is divided into a to-be-detected sample area, a pretreatment area and a bacterial culture counting area through a lifting partition plate, and the central control unit is connected with the control end of the lifting partition plate; the system and the method can realize the automation of the whole process from pretreatment, dilution, inoculation, constant-temperature culture to colony counting of the water sample, improve the detection efficiency and the reliability of the result, and reduce the workload of personnel.

The invention discloses a traditional Chinese medicine compound probiotic preparation and activity detection equipment for culture of the traditional Chinese medicine compound probiotic preparation, and relates to the technical field of probiotic preparation culture.The traditional Chinese medicine compound probiotic preparation comprises a bacterial colony counter host and an artificial auxiliary assembly, a placement groove is formed in the surface of the bacterial colony counter host, and the artificial auxiliary assembly comprises a U-shaped frame inserted into an assembly groove; a hand supporting platform is fixed to the top of the sliding plate. According to the invention, the hand of a person can be supported by using the hand supporting platform, and the hand supporting platform can freely slide on the horizontal plane through the sliding plate at the bottom of the hand supporting platform based on the force exerting direction of the hand, so that the position of the probe pen is flexibly adjusted to conveniently count bacterial colonies at different positions; and the vertical lifting of the probe is matched with the laser positioning light spot to carry out point falling counting, so that the problem that the sensitivity is influenced by non-uniform abrasion of a pen point due to excessive inclination caused by manual holding of the probe is avoided, and the problem that the operation efficiency is influenced due to frequent adjustment of the inclination angle of the probe by personnel is solved.

The present application belongs to the technical field of colony counting, and provides an automatic colony identification and counting method based on machine learning segmentation. The method comprises the following steps: inputting a culture medium image into a trained multi-scale and attention-based lightweight Unet model, performing colony area segmentation, and outputting a single-channel probability map; after the single-channel probability map is extracted through a connected region, roundness screening, morphological noise reduction optimization and distance transformation counting, colony identification and counting are completed. The present application improves efficiency, reduces culture medium image inference time, processes batches extremely fast, supports full-automatic processing, and can also manually adjust parameters; optimizes accuracy, has no upper limit for the identification of adherent colonies by distance transformation, and has small counting error; and reduces impurity miscounting rate through roundness screening and morphological noise reduction.

The invention provides a biogas slurry low-pressure sprinkling irrigation microbial aerosol concentration and particle size testing method and device. The method comprises the following steps: testing the concentration of microorganisms in diluted biogas slurry by adopting a plate coating method; three kinds of low-pressure spray heads are selected, and the mounting height of the spray heads is set to be 1.2 m; the method comprises the following steps: by taking a nozzle as a starting point, arranging microbial aerosol measuring points at intervals of 8m along the radial direction, and selecting the average breathing height 1.64 m of a human body as the collection height at each measuring point; 4, counting microbial colonies on the culture dish by adopting anaerobic fermentation biogas slurry; counting microbial colonies growing on the culture plate by using a colony counting instrument, and correcting the number of the colonies by using a positivity-hole method, so as to obtain the concentration of the air microbial aerosol and the particle size distribution characteristics of the air microbial aerosol. According to the invention, deep research on the dissipation mechanism of the microbial aerosol in the biogas slurry low-pressure sprinkling irrigation process is realized, and a scientific and effective method and system support are provided for parameter optimization and health risk prevention and control of a biogas slurry low-pressure sprinkling irrigation system.

The invention discloses a microbial colony counting and morphology intelligent analysis method and system, and relates to the technical field of image processing and microbial detection.The method comprises the steps that a multi-modal imaging module collects images of a culture plate in a transmission light and annular lateral light dual mode and fuses the images to generate a multi-modal image; the bacterial colony instance segmentation module performs pixel-level instance segmentation on the fused image by adopting a multi-scale feature fusion network in combination with a channel-space double attention mechanism, and outputs boundary masks of all bacterial colonies; the morphological feature extraction module calculates geometric, texture and optical parameters to construct morphological feature vectors; the strain primary screening module outputs a candidate strain list and confidence through weighted Euclidean distance matching, the problems that manual counting efficiency is low, adhesion bacterial colonies are missed in weighing, and culture medium background interference exists are solved, and the counting accuracy rate reaches 98% or above.

The invention discloses a method for detecting bacterial colonies in high-salt industrial reuse water, and relates to the technical field of industrial water treatment and microbiological detection. Comprising the following steps: S1, dynamically sampling; step S2, sample pretreatment; step S3, inoculation; step S4, carrying out sectional culture; and S5, counting bacterial colonies and performing intelligent early warning. A culture medium adopted in the sectional culture is a composite salt tolerant culture medium and is prepared from 15-20 g / L of a basic culture medium, 8-12 g / L of a compatible solute compound, 1-2 g / L of a cell membrane repairing agent, 5-8 g / L of a targeted nutrition system, 0.5-1 g / L of an anti-interference component, 2-3 g / L of a pH buffering agent and deionized water serving as a solvent. The detection method is high in detection rate and small in relative deviation under different salt concentrations.

The invention discloses a method and a device for separating and culturing microorganisms from a large number of liquid samples, and the method comprises the following steps of: pouring or dropwise adding a quantitative liquid sample to be detected onto the surface of an agar culture medium by using a traditional agar culture medium by using a sterile method; a dry powder spraying instrument designed by the invention is used for spraying sterile polymer dry powder onto an agar culture medium, the polymer is cross-linked to form a three-dimensional structure adsorption layer, microorganisms in a sample are rapidly fixed on the surface of the agar culture medium, the microorganisms of a curing layer are incubated and cultured to form bacterial colonies for detection, and the bacterial colonies can be counted; the bacterial colonies can also be directly applied to further operations such as bacterial identification, drug sensitive test or other microbiological analysis and detection. According to the method, on the basis of a traditional solid culture scheme, a large number of liquid samples are directly subjected to solid treatment, integration of the samples and the agar culture medium is achieved, and the large number of liquid samples can be cultured on the agar culture medium.

The utility model provides a full-automatic high-precision bacterium coating device, which belongs to the field of medical equipment and comprises a motor and a bacterium liquid cylinder, a rotating shaft is mounted at the output end of the motor in a matched manner, and a driving mechanism for driving the bacterium liquid cylinder to rotate is mounted at the output end of the rotating shaft. According to the utility model, the coating speed, the coating force and the distribution of the coating liquid can be controlled with extremely high precision, the effect of almost consistent coating at each time can be ensured, bacterial suspension can be uniformly and accurately coated on the surface of a culture medium according to preset parameters, so that bacteria are more uniformly distributed on a flat plate, and the working efficiency is improved. A more reliable basis is provided for subsequent experiments such as bacterial colony counting and strain screening, the accuracy and repeatability of experimental results are greatly improved, and the opportunity that infectious microbes in the external environment enter a coating system can be effectively reduced.

The invention relates to the technical field of bacterial colony counters, in particular to a bacterial colony counter which comprises a machine body and a placement groove formed in the machine body, annular lamps are arranged on the peripheral side of the placement groove, and a mounting groove is formed in the machine body; the device further comprises a positioning assembly, the positioning assembly comprises a gear ring movably mounted in the mounting groove and a plurality of first gears meshed with the gear ring, one side of each first gear is meshed with a rack, a shell is arranged on the outer sides of the first gears and the racks, and the clamping assembly is matched with the positioning assembly so that the culture dishes can be placed in a non-contact mode; the culture dish is positioned in the counting process, the stability of the culture dish is improved, the transparent sheet is clicked by a probe pen during marking, on one hand, the surface of the culture dish can be prevented from being scratched by the probe pen, on the other hand, ink on the culture dish can be marked on the transparent sheet, cleaning of the ink on the culture dish during next use can be avoided, and meanwhile the transparent sheet can be stored; the method is used for comparing colony distribution conditions.

The invention discloses a photodynamic antibacterial process double response surface optimization and antibacterial effect evaluation method of a 4-BrPA / beta-CD supramolecular photosensitizer, and belongs to the technical field of photodynamic antibacterial. According to the method, a 4-BrPA / beta-CD supramolecular photosensitizer is used as a photosensitive material, 450 nm visible light is used as an excitation light source, the material concentration, the optical power density and the illumination time are used as investigation factors, and the net bacteriostasis rate measured by a plate colony counting method is used as a response value for Box-Behnken test design; through parallel detection of real-time sampling after illumination and delayed sampling after dark culture, respectively establishing real-time sterilization and delayed sterilization double-response surface models; after background toxicity verification and unified deduction, comparing the coefficient change of interaction items of the double models, and analyzing the differentiated influence of the delay effect on different interaction effects; and determining an optimal process interval by taking the delayed sterilization model as a final basis. Meanwhile, five quantitative evaluation indexes including DGI, CPAI, PTCI, CTRI and HTI are provided. The invention provides a complete method from process optimization to effect evaluation for the photosensitizer.

The invention discloses a B2M gene for regulating and controlling sheep small intestine epithelial cells to resist F17 escherichia coli infection. The nucleotide sequence of the B2M gene is as shown in SEQ ID NO. 1. Through construction of a B2M overexpression vector, interference of B2M gene expression and combination of colony counting, pilin quantification, CCK8, EDU and other experiments, it is found that up-regulation of B2M expression can inhibit adhesion of F17 escherichia coli to sheep small intestine epithelial cells and promote proliferation and migration of the cells, and down-regulation of B2M expression can generate the opposite effect. The invention provides a theoretical basis for explaining the effect of B2M in resisting F17 Escherichia coli infection of sheep, and lays a foundation for subsequent research on improvement of immunity and disease resistance of sheep to F17 Escherichia coli on the hereditary basis.

The invention discloses a bacterial culture device for inspection, and relates to the technical field of bacterial culture.The bacterial culture device comprises a bottom plate and a culture dish, the lower side of the bottom plate is fixedly connected with a supporting box, the upper side of the bottom plate is provided with a treatment unit, the treatment unit comprises first sliding grooves, and the first sliding grooves are formed in the upper sides of the left end and the right end of the bottom plate; the inner side of the first sliding groove is slidably connected with a sliding plate, the upper side of the sliding plate is fixedly connected with two moving plates, and the upper side of each moving plate is provided with a uniform assembly. According to the bacterial culture device for inspection, by arranging the bottom plate, the first sliding block, the movable plate, the supporting plate, the culture platform, the lifting plate and the motor, when bacteria are cultured in the culture dish, the culture dish is conveniently controlled to move in the left-right direction and the up-down direction and shake along with the culture dish, and meanwhile, flora in the culture dish is promoted to be evenly distributed in cooperation with the inclination action of the culture platform; and an accurate sample is provided for subsequent colony counting and inspection analysis.

The application discloses a colony counting method and system based on an HSV saturation channel, and belongs to the technical field of microorganism detection and image analysis. The method acquires a color image of a culture dish, converts the color image to an HSV color space and extracts a saturation S channel; detects a culture dish region based on the S channel and generates a culture dish mask; performs binaryzation segmentation in the mask range according to a preset saturation threshold to obtain a colony candidate region; and then performs morphological processing, contour area and roundness screening and distance-based deduplication processing to obtain a colony counting result. The system can also generate a labeled image and support manual review or quantity correction. The application utilizes the response difference between a color colony and a low-saturation culture medium background in the S channel, improves the distinction between the colony and the background, reduces the interference of uneven culture medium, marker handwriting and edge artifacts, does not need a large amount of labeled data for training, and is suitable for the automatic counting of colonies in a culture dish.

Reader and plate methods, operations, and systems for observing a biological sample are shown and described. In one embodiment, a device includes an imaging device and a variable tray holder nest adapted to perform colony counting to monitor biological growth, when present.

The invention relates to the field of food microorganism detection, and particularly discloses a food microorganism detection device and a detection method thereof.The food microorganism detection device comprises an outer detection mechanism and a rotary detection table mechanism; the outer detection mechanism comprises an outer fixing frame assembly, and a bacterial colony counting assembly is fixedly mounted on the outer side of the outer fixing frame assembly; the rotary detection table mechanism comprises an outer support frame assembly, and a rotary detection table assembly is fixedly mounted in the middle of the outer support frame assembly; the outer supporting frame assembly is clamped and embedded in the middle of the outer fixing frame assembly. Through automatic rotation of the rotary detection table assembly, rapid placement of test pieces, sample dropwise adding and detection position transferring are achieved, the detection efficiency is remarkably improved, after culture is completed, the rotary detection table assembly can automatically convey the test pieces carrying the samples to the position below the bacterial colony counting assembly, and the detection efficiency is further improved.

The utility model provides a microbial colony counting device, and relates to the technical field of microbial research. A supporting plate is slidably mounted on the inner side of the bottom of the incubator; a first motor is mounted on the left side of the incubator; a second lead screw is rotationally mounted on the inner side of the top of the incubator, and the second lead screw is in transmission connection with the first lead screw through a chain; a camera fixing block is installed on the outer side of the second lead screw. Two multi-section electric cylinders are fixed to the top of the supporting plate. A second motor is mounted at the tops of the two multi-section electric cylinders; a rotary supporting block is fixed to the top end of a main shaft of the second motor; five groups of culture dish brackets are arranged in a cavity in the inner side of the incubator at equal intervals; and a culture dish is placed at the top of each of the five groups of culture dish brackets. According to the device, the culture dish does not need to be taken out during counting, microbial spores are prevented from spreading, the environmental sanitation in a culture room is ensured, and the health of inspectors can be prevented from being affected.

The aim is to provide a colony counting device and method that enable more accurate judgment regarding the validity of counting results and can efficiently count colonies even in samples where spread colonies have occurred. [Solution] A colony counter 10 for counting colonies, which are aggregates of microorganisms, comprises: a camera 13 for capturing a sample image from a petri dish 1 in which microorganisms are cultured; and a control unit 17 that detects spread colony ICs from the sample image based on the number of pixels obtained by binarizing the sample image captured by the camera 13, and determines the validity of the count result from the ratio of the total pixel value of the detected spread colony ICs to the area of ​​the petri dish 1.

This invention relates to the field of image data processing technology, and discloses a multimodal image acquisition and processing method for automated counting of microbial colonies in a production line. The method includes the following steps: imaging a culture dish under test using a multimodal physical imaging module to acquire three-modal fused image data containing at least polarization characteristics, multispectral characteristics, and photometric stereoscopic characteristics; establishing a physical-neural hybrid reflection decoupling network and inputting the three-modal fused image data into the network; based on the diffuse reflection dominant image and the specular reflection dominant image, using a multi-scale colony generation and repair network to perform texture repair on reflective residue areas, wherein the repair network introduces a colony morphology prior constraint layer in the decoder section; outputting the repaired image and performing colony counting based on the repaired image. This invention possesses robustness in suppressing and repairing surface reflective interference and has strong generalization ability.

The aim is to provide a colony counting device and method that enable more accurate judgment regarding the validity of counting results and can efficiently count colonies even in samples where spread colonies have occurred. [Solution] A colony counter 10 for counting colonies, which are aggregates of microorganisms, comprises: a camera 13 for capturing a sample image from a petri dish 1 in which microorganisms are cultured; and a control unit 17 that detects spread colony ICs from the sample image based on the number of pixels obtained by binarizing the sample image captured by the camera 13, and determines the validity of the count result from the ratio of the total pixel value of the detected spread colony ICs to the area of ​​the petri dish 1.

The invention provides a full-automatic bacterial colony counting system and counting method based on a secondary watershed, and belongs to the technical field of microbiological detection and analysis. Comprising a color segmentation module used for converting an input RGB image to an HSV space and separating bacterial colonies with different color features to obtain bacterial colonies with different color features; the adhered bacterial colony separation module is used for separating adhered bacterial colonies from the bacterial colonies with different color characteristics by using a secondary watershed algorithm to obtain separated bacterial colonies; and the morphological characteristic quantitative evaluation module is used for comparing the shape of the separated bacterial colony with a preset standard, removing impurities, and analyzing and evaluating the growth state of the bacterial colony to obtain the number of bacterial colonies meeting the preset standard. According to the method, the color distinguishing capability can be enhanced by utilizing the clustering characteristic of the HSV hue channel; a secondary watershed algorithm is adopted to improve the segmentation precision of the adhered bacterial colonies; bacterial colonies are screened through roundness parameters, and impurity interference is eliminated.

The invention belongs to the technical field of bacterial colony counting, and provides an automatic bacterial colony identifying and counting method based on machine learning segmentation. Comprising the following steps: inputting a culture medium image into a trained multi-scale lightweight Unet model with attention, performing bacterial colony region segmentation, and outputting a single-channel probability graph; and after the single-channel probability graph is subjected to connected region extraction, roundness screening, morphological noise reduction optimization and distance transformation counting, bacterial colony recognition counting is completed. The efficiency is improved, the image reasoning time of the culture medium is shortened, batch processing is extremely fast, full-automatic processing is supported, and parameters can be manually adjusted; the distance transformation has no upper limit when being used for identifying the sticky colonies, and the counting error is small; and the impurity miscounting rate is reduced through roundness screening and morphological noise reduction.