CN115029209A - Colony image acquisition processing device and processing method thereof - Google Patents
Colony image acquisition processing device and processing method thereof Download PDFInfo
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Abstract
The invention provides a colony image acquisition processing device and a processing method thereof, which relate to the technical field of image acquisition and comprise an incubator and a processing host, wherein a plurality of culture compartments are arranged in the incubator, a culture dish, an environment controller and an environment collector are arranged in each culture compartment, serial numbers are arranged on the culture compartments, and an image acquisition part is arranged above the interiors of the culture compartments; a display is arranged on one side of the processing host; the image acquisition part is adopted to collect image data of bacterial colonies, the processing module is adopted to reduce noise of the bacterial colony images and extract textures and pixel values of the bacterial colony images, so that the acquisition is more accurate, various bacterial colony type characteristics and bacterial colony state characteristics in the resource package are used as a training set through the YOYO neural network training module and are compared with the extracted bacterial colony image textures and pixel values, the bacterial colony types are conveniently and quickly determined, the real-time state of the bacterial colonies can be preliminarily judged, and convenience is brought to subsequent experimental operation.
Description
Technical Field
The invention relates to the technical field of image acquisition, in particular to a colony image acquisition processing device and a colony image acquisition processing method.
Background
In the culture and experiments of some microorganisms, a large amount of colony analysis is needed in statistical results, wherein the colony is a single bacterial group visible to naked eyes grown on the surface of a solid culture medium after bacteria are inoculated on the surface of the solid culture medium for culture, and the colony generated after target sampling is analyzed, so that the colony analysis and judgment are performed on colony target information;
the colony image is mainly collected for rapidly judging the colony type, at present, the judgment is mainly completed by observing with human eyes, the work is heavy, tedious, low in efficiency, poor in detection repeatability and easy to generate errors, and particularly, the judgment on the colony state is very difficult and needs to be analyzed for a plurality of times subsequently, so that the invention provides the colony image collecting and processing device and the processing method thereof to solve the problems in the prior art.
Disclosure of Invention
Aiming at the problems, the invention provides a colony image acquisition and processing device and a colony image acquisition and processing method, which can conveniently and rapidly determine the type of a colony, can preliminarily pre-judge the real-time state of the colony and provide convenience for subsequent experimental operation.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: a colony image acquisition processing device comprises an incubator and a processing host, wherein a plurality of culture compartments are arranged in the incubator, a culture dish, an environment controller and an environment collector are arranged in each culture compartment, serial numbers are arranged on the culture compartments, and an image acquisition part is arranged above the interiors of the culture compartments;
one side of handling the host computer is equipped with the display, and the inside of handling the host computer is equipped with processing module and YOYO neural network training module, image acquisition portion and environment collector's data output end all is connected with processing module, YOYO neural network training module is connected with the resource package, and YOYO neural network training module is with all kinds of colony types characteristics and colony state characteristics in the resource package as the training set, YOYO neural network training module utilizes collection image colony type and state after yolo network training discernment processing module handles, the display shows the environmental parameter who gathers image colony type and state and environment collector collection, the inside of handling the host computer is equipped with the storage retrieval module that the data of storage used.
The further improvement lies in that: image acquisition portion includes the pneumatic cylinder and gathers the board, the pneumatic cylinder is established at the top of cultivateing the compartment, and the output of pneumatic cylinder runs through to cultivateing in the compartment, gather the board and establish the output at the pneumatic cylinder, the bottom of gathering the board is equipped with the axleboard, and the axleboard is equipped with the multiunit, multiunit the inboard of axleboard all rotates and is equipped with the dysmorphism pivot, movable mounting has the slider in the dysmorphism pivot, and the below of slider is equipped with micro lens.
The further improvement lies in that: the top of slider rotates and is equipped with the drive wheel, and the bottom of board is gathered in the contact of drive wheel top, one side of slider is equipped with the motor, and the output of motor with the drive wheel is connected.
The further improvement lies in that: the one end of multiunit dysmorphism pivot all is equipped with the belt pulley, and the belt pulley is located the one end position department of axletree board, the multiunit be connected with the belt between the belt pulley, a set of the dysmorphism pivot is passed through motor drive and is rotated.
The further improvement lies in that: the environment controller comprises a temperature controller, a humidity controller and a lighting lamp and is used for controlling the temperature, the humidity and the illumination in the cultivation compartment, and the environment collector comprises a temperature sensor, a humidity sensor and a gas content sensor and is used for detecting the temperature, the humidity and the gas content in the cultivation compartment.
The further improvement lies in that: the processing module comprises a signal processing module and an element extraction module, the signal processing module adopts an airspace pixel feature denoising algorithm to denoise colony images collected by the image collection part, converts environmental parameters collected by the environment collector into display signals through an ADC (analog to digital converter), and displays the display signals on the display according to the serial numbers, the element extraction module is used for extracting textures and pixel values of the colony images, and the YOYO neural network training module takes colony type features and colony state features in the resource packet as a training set and compares the colony type features and the colony state features with the extracted colony image textures and pixel values to determine the types and the states of the colonies and displays the colony images on the display according to the serial numbers.
The further improvement lies in that: the inside of handling the host computer is equipped with the communication chip, and the communication chip passes through network connection high in the clouds server, the resource package is through the communication chip from high in the clouds server search and store current all kinds of colony kind characteristics and colony state characteristic.
The further improvement lies in that: store retrieval module including storing chip and time-recorder, store the chip and be used for storing all kinds and the state data of cultivateing the interior bacterial colony of compartment according to the serial number to and corresponding environmental parameter data, the time-recorder is used for stamping the time stamp to the data of storing, store the built-in serial number retrieval module of chip, be equipped with the human-computer interaction panel on the processing host computer, and the human-computer interaction panel is used for retrieving the data of storing through serial number retrieval module.
A colony image acquisition processing method comprises the following steps:
s1: culturing bacterial colonies in each storage compartment, controlling the internal environment by using an environment controller, and collecting real-time environment parameters by using an environment collector;
s2: starting an image acquisition part, collecting image data of the bacterial colony, transmitting the image data to a processing module, and synchronously transmitting the environment parameters to the processing module by an environment acquisition device;
s3: the signal processing module converts the environmental parameters acquired by the environmental acquisition unit into display signals through the ADC, and displays the display signals on the display according to the serial numbers;
s4: the signal processing module adopts a space domain pixel characteristic denoising algorithm to denoise the colony image collected by the image collecting part, and the element extracting module extracts the texture and the pixel value of the colony image;
s5: the resource package acquires the existing various colony type characteristics and colony state characteristics from the cloud server, the YOYO neural network training module compares the characteristics in the resource package as a training set with colony image textures and pixel values extracted by the element extraction module to determine the colony type and state, and displays the colony type and state on the display according to the serial number;
s6: storing all data in a storage chip, and stamping a time stamp on the data by using a timer;
s7: the stored data are retrieved through the cooperation of the human-computer interaction panel and the serial number retrieval module, the state change trend of each numbered bacterial colony at different time is obtained, the environmental parameters at the time are integrated, and the culture condition of the bacterial colony is judged.
The further improvement is that: in S2, start image acquisition portion, utilize the pneumatic cylinder to descend the collection board, utilize the microscope head to carry out micro-shooting to the bacterial colony, synchronous motor drives the drive wheel and rotates, changes the position of microscope head in the special-shaped pivot, and the motor drives a set of special-shaped pivot rotation, and the effect of cooperation belt pulley and belt drives all special-shaped pivots rotatory, changes the angle of microscope head, carries out multidimension image acquisition to the bacterial colony.
The invention has the beneficial effects that:
1. the image acquisition part is adopted to collect image data of bacterial colonies, the processing module is adopted to reduce noise of the bacterial colony images and extract textures and pixel values of the bacterial colony images, so that the acquisition is more accurate, various bacterial colony type characteristics and bacterial colony state characteristics in the resource package are used as a training set through the YOYO neural network training module and are compared with the extracted bacterial colony image textures and pixel values, the bacterial colony types are conveniently and quickly determined, the real-time state of the bacterial colonies can be preliminarily judged, and convenience is brought to subsequent experimental operation.
2. The invention synchronously collects real-time environmental parameters by using the temperature collector, stamps time stamps on all stored data by using the timer, is convenient to retrieve the stored data, obtains the state change trend of bacterial colonies at different times, is convenient to judge the culture conditions of the bacterial colonies by matching with the corresponding environmental parameters, and provides convenience for experiments.
3. When the image data of the bacterial colony is collected, the position of the microscope lens on the special-shaped rotating shaft is convenient to change, the angle of the microscope lens is changed, the bacterial colony is convenient to carry out multi-dimensional image collection, and the data are more comprehensive.
Drawings
FIG. 1 is a front view of the present invention;
FIG. 2 is a schematic view of an image capturing section according to the present invention;
FIG. 3 is a schematic diagram of the processing host according to the present invention.
Wherein: 1. an incubator; 2. processing the host; 3. a culture dish; 4. an environmental controller; 5. an environment collector; 6. numbering; 7. a display; 8. a processing module; 9. a YOYO neural network training module; 10. a resource package; 11. a storage retrieval module; 12. a pneumatic cylinder; 13. collecting a plate; 14. a shaft plate; 15. a special-shaped rotating shaft; 16. a slider; 17. a micro-lens; 18. a drive wheel; 19. a motor; 20. a belt pulley; 21. a belt; 22. a signal processing module; 23. an element extraction module; 24. a communication chip; 25. a cloud server; 26. storing the chip; 27. a timer; 28. a number retrieval module; 29. a human-computer interaction panel.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example one
According to fig. 1, 2 and 3, the embodiment provides a colony image collecting and processing device, which includes an incubator 1 and a processing host 2, wherein a plurality of culture compartments are arranged inside the incubator 1, a culture dish 3, an environment controller 4 and an environment collector 5 are arranged inside each culture compartment, serial numbers 6 are arranged on the culture compartments, and an image collecting part is arranged above the interior of each culture compartment;
one side of handling host computer 2 is equipped with display 7, and the inside of handling host computer 2 is equipped with processing module 8 and YOYO neural network training module 9, the data output part of image acquisition portion and environment collector 5 all is connected with processing module 8, YOYO neural network training module 9 is connected with resource package 10, and YOYO neural network training module 9 is as the training set with all kinds of colony types characteristics and colony state characteristics in resource package 10, YOYO neural network training module 9 utilizes the acquisition image colony type and the state after yolo network training discernment processing module 8 handles, display 7 shows the environmental parameter who gathers image colony type and state and environment collector 5 collection, the inside of handling host computer 2 is equipped with the storage retrieval module 11 that the storage data used. The invention adopts an image acquisition part to collect image data of bacterial colonies, the image data is transmitted to a processing module 8, the bacterial colony images are processed and characteristic values are extracted, the existing various bacterial colony type characteristics and bacterial colony state characteristics are stored through a resource package 10, the characteristics in the resource package 10 are used as a training set through a YOYO neural network training module 9, the training set is compared with the extracted bacterial colony image textures and pixel values, the bacterial colony types are conveniently and rapidly determined, the real-time state of the bacterial colonies can be preliminarily judged, and the real-time state of the bacterial colonies can be displayed on a display 7, so that convenience is provided for subsequent experimental operation.
Image acquisition portion includes pneumatic cylinder 12 and gathers board 13, pneumatic cylinder 12 is established at the top of cultivateing the compartment, and the output of pneumatic cylinder 12 runs through to cultivateing in the compartment, gather board 13 and establish the output at pneumatic cylinder 12, the bottom of gathering board 13 is equipped with axle board 14, and axle board 14 is equipped with multiunit, multiunit the inboard of axle board 14 all rotates and is equipped with special-shaped pivot 15, movable mounting has slider 16 in the special-shaped pivot 15, and the below of slider 16 is equipped with microscope lens 17. A driving wheel 18 is arranged above the sliding block 16 in a rotating mode, the upper side of the driving wheel 18 contacts the bottom of the collecting plate 13, a motor 19 is arranged on one side of the sliding block 16, and the output end of the motor 19 is connected with the driving wheel 18. The one end of multiunit dysmorphism pivot 15 all is equipped with belt pulley 20, and belt pulley 20 is located the one end position department of axletree board 14, and the multiunit be connected with belt 21 between the belt pulley 20, a set of dysmorphism pivot 15 is rotatory through motor drive. During the use, collection board 13 is fallen to pneumatic cylinder 12, utilizes microscope lens 17 to carry out micro-shooting to the bacterial colony, and synchronous motor 19 drives drive wheel 18 and rotates, changes the position of microscope lens 17 on special-shaped pivot 15, and the motor drives a set of special-shaped pivot 15 rotatory, and the effect of cooperation belt pulley 20 and belt 21 drives all special-shaped pivots 15 rotatory, changes microscope lens 17's angle, conveniently carries out the multidimension image acquisition to the bacterial colony.
The environmental controller 4 includes, but is not limited to, a temperature controller, a humidity controller, and a light for controlling the temperature, humidity, and illumination of the inside of the cultivation compartment, and the environmental collector 5 includes, but is not limited to, a temperature sensor, a humidity sensor, and a gas content sensor for detecting the temperature, humidity, and gas content of the inside of the cultivation compartment.
The processing module 8 comprises a signal processing module 22 and an element extraction module 23, the signal processing module 22 adopts an airspace pixel feature denoising algorithm to denoise a bacterial colony image collected by an image collection part, converts an environmental parameter collected by an environmental collector 5 into a display signal through an ADC (analog to digital converter), and displays the display signal on the display 7 according to the number 6, the element extraction module 23 is used for extracting texture and pixel values of the bacterial colony image, and the YOYO neural network training module 9 takes bacterial colony type features and bacterial colony state features in the resource packet 10 as a training set, compares the training set with the extracted bacterial colony image texture and pixel values, determines the type and state of the bacterial colony, and displays the bacterial colony on the display 7 according to the number 6. When the environment parameter acquisition device is used, the image acquisition part collects image data of bacterial colonies, transmits the image data to the processing module 8, and the environment acquisition device 5 synchronously transmits environment parameters to the processing module 8; the signal processing module 22 converts the environmental parameters collected by the environmental collector 5 into display signals through the ADC, and displays the display signals on the display 7 according to the serial number 6; the signal processing module 22 adopts a space domain pixel characteristic denoising algorithm to denoise the colony image collected by the image collecting part, and the element extracting module 23 extracts the texture and the pixel value of the colony image; the YOYO neural network training module 9 takes the features in the resource package 10 as a training set, compares the colony image textures and the pixel values extracted by the element extraction module 23, determines the types and states of the colonies, and displays the colonies on the display 7 according to the serial numbers 6.
Handle host computer 2's inside and be equipped with communication chip 24, and communication chip 24 passes through network connection cloud server 25, resource package 10 searches for and stores current all kinds of colony kind characteristics and colony state characteristics from cloud server 25 through communication chip 24. The resource package 10 acquires the existing various colony type characteristics and colony state characteristics from the cloud server 25 by means of the communication chip 24, the YOYO neural network training module 9 takes the characteristics in the resource package 10 as a training set, compares the training set with the colony image textures and the pixel values extracted by the element extraction module 23, determines the type and the state of the colony, and displays the colony on the display 7 according to the number 6.
Example two
The embodiment provides a colony image acquisition and processing method, which comprises the following steps:
s1: culturing bacterial colonies in each storage compartment, controlling the internal environment by using an environment controller 4, and collecting real-time environment parameters by using an environment collector 5;
s2: starting an image acquisition part, lowering an acquisition plate 13 by using a pneumatic cylinder 12, performing microscopic shooting on bacterial colonies by using a microscope lens 17, driving a driving wheel 18 to rotate by using a synchronous motor 19, changing the position of the microscope lens 17 on a special-shaped rotating shaft 15, driving a group of special-shaped rotating shafts 15 to rotate by using a motor, driving all the special-shaped rotating shafts 15 to rotate by matching the action of a belt pulley 20 and a belt 21, changing the angle of the microscope lens 17, performing multi-dimensional image acquisition on the bacterial colonies, collecting image data of the bacterial colonies, transmitting the image data to a processing module 8, and synchronously transmitting environment parameters to the processing module 8 by using an environment acquisition device 5;
s3: the signal processing module 22 converts the environmental parameters collected by the environmental collector 5 into display signals through the ADC, and displays the display signals on the display 7 according to the serial number 6;
s4: the signal processing module 22 adopts a space domain pixel characteristic denoising algorithm to denoise the colony image collected by the image collecting part, and the element extracting module 23 extracts the texture and the pixel value of the colony image;
s5: the resource package 10 acquires the existing various colony type characteristics and colony state characteristics from the cloud server 25, the YOYO neural network training module 9 takes the characteristics in the resource package 10 as a training set, compares the training set with the colony image textures and the pixel values extracted by the element extraction module 23, determines the colony type and state, and displays the colony type and state on the display 7 according to the number 6;
s6: all data is stored in the memory chip 26, time stamped using the timer 27;
s7: the human-computer interaction panel 29 is matched with the serial number retrieval module 28 to retrieve the stored data, so that the state change trend of each numbered bacterial colony at different time is obtained, the environmental parameters at the time are integrated, and the culture condition of the bacterial colony is judged.
The image data of the bacterial colony is collected by the image collecting part, the image data is transmitted to the processing module 8, the noise of the bacterial colony image is reduced, the texture and the pixel value of the bacterial colony image are extracted, the collection is more accurate, the existing various bacterial colony type characteristics and bacterial colony state characteristics are stored through the resource package 10, the characteristics in the resource package 10 are used as a training set through the YOYO neural network training module 9, the training set is compared with the extracted bacterial colony image texture and the pixel value, the bacterial colony type is conveniently and rapidly determined, the real-time state of the bacterial colony can be preliminarily judged, and the real-time state of the bacterial colony can be displayed on the display 7, so that convenience is brought to subsequent experimental operation. In addition, when the colony image data is collected, the temperature collector 5 is used for synchronously collecting real-time environmental parameters, the timer 27 is used for stamping time stamps on all the stored data, the stored data can be retrieved through the man-machine interaction panel 29 in cooperation with the serial number retrieval module 28, the state change trends of the colonies at different times can be conveniently obtained, the culture conditions of the colonies can be conveniently judged in cooperation with the environmental parameters at the time, and convenience is brought to experiments. Meanwhile, when the invention collects the image data of the bacterial colony, the micro-camera 17 is used for micro-shooting the bacterial colony, the synchronous motor 19 drives the driving wheel 18 to rotate, the position of the micro-camera 17 on the special-shaped rotating shaft 15 is changed, the motor drives the special-shaped rotating shaft 15 to rotate, the belt pulley 20 and the belt 21 are matched to drive all the special-shaped rotating shafts 15 to rotate, the angle of the micro-camera 17 is changed, the multi-dimensional image collection of the bacterial colony is convenient, and the data is more comprehensive.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a bacterial colony image acquisition processing apparatus, includes incubator (1) and processing host computer (2), its characterized in that: the incubator (1) is internally provided with a plurality of culture compartments, each culture compartment is internally provided with a culture dish (3), an environment controller (4) and an environment collector (5), the culture compartments are provided with serial numbers (6), and an image collecting part is arranged above the interiors of the culture compartments;
a display (7) is arranged on one side of the processing host (2), a processing module (8) and a YOYO neural network training module (9) are arranged in the processing host (2), the data output ends of the image acquisition part and the environment acquisition device (5) are both connected with a processing module (8), the YOYO neural network training module (9) is connected with a resource packet (10), and the YOYO neural network training module (9) takes various colony type characteristics and colony state characteristics in the resource package (10) as a training set, the YOYO neural network training module (9) utilizes the yolo network training, recognizing and processing module (8) to process the colony types and states of the collected images, the display (7) displays the colony types and the colony states of the collected images and the environmental parameters collected by the environment collector (5), the processing host (2) is internally provided with a storage and retrieval module (11) for storing data.
2. The apparatus for collecting and processing a colony image as claimed in claim 1, wherein: image acquisition portion includes pneumatic cylinder (12) and gathers board (13), establish at the top of cultivateing the compartment pneumatic cylinder (12), and the output of pneumatic cylinder (12) runs through to cultivateing in the compartment, gather the output of establishing in pneumatic cylinder (12) board (13), the bottom of gathering board (13) is equipped with axle plate (14), and axle plate (14) is equipped with multiunit, multiunit the inboard of axle plate (14) all rotates and is equipped with special-shaped pivot (15), movable mounting has slider (16) on special-shaped pivot (15), and the below of slider (16) is equipped with microscope lens (17).
3. The apparatus according to claim 2, wherein: the top of slider (16) is rotated and is equipped with drive wheel (18), and the bottom of drive wheel (18) top contact collection board (13), one side of slider (16) is equipped with motor (19), and the output of motor (19) with drive wheel (18) are connected.
4. A colony image collecting and processing device as claimed in claim 3, wherein: the special-shaped rotating shaft is characterized in that a belt pulley (20) is arranged at one end of each special-shaped rotating shaft (15), the belt pulleys (20) are located at one end of the shaft plate (14), a belt (21) is connected between the belt pulleys (20) in a plurality of groups, and the special-shaped rotating shafts (15) are driven to rotate through motors.
5. The apparatus according to claim 4, wherein: the environment controller (4) comprises a temperature controller, a humidity controller and a lighting lamp and is used for controlling the temperature, the humidity and the illumination in the culture compartment, and the environment collector (5) comprises a temperature sensor, a humidity sensor and a gas content sensor and is used for detecting the temperature, the humidity and the gas content in the culture compartment.
6. A colony image collecting and processing device according to any one of claims 1-5, characterized in that: the processing module (8) comprises a signal processing module (22) and an element extraction module (23), the signal processing module (22) adopts a space domain pixel feature denoising algorithm to denoise a bacterial colony image collected by an image collecting part, converts an environmental parameter collected by an environment collector (5) into a display signal through an ADC (analog to digital converter), and displays the display signal on the display (7) according to a number (6), the element extraction module (23) is used for extracting the texture and the pixel value of the bacterial colony image, and the YOYO neural network training module (9) takes the bacterial colony type feature and the bacterial colony state feature in the resource package (10) as a training set to compare the training set with the extracted bacterial colony image texture and the pixel value to determine the type and the state of the bacterial colony and displays the bacterial colony on the display (7) according to the number (6).
7. The apparatus according to claim 6, wherein: handle the inside of host computer (2) and be equipped with communication chip (24), and communication chip (24) pass through internet access cloud server (25), resource package (10) search for and store current all kinds of colony kind characteristics and colony state characteristics from cloud server (25) through communication chip (24).
8. The apparatus according to claim 7, wherein: the storage and retrieval module (11) comprises a storage chip (26) and a timer (27), wherein the storage chip (26) is used for storing the types and state data of bacterial colonies in all culture compartments and corresponding environment parameter data according to the numbers (6), the timer (27) is used for stamping time stamps on the stored data, the storage chip (26) is internally provided with a number retrieval module (28), the processing host (2) is provided with a human-computer interaction panel (29), and the human-computer interaction panel (29) is used for retrieving the stored data through the number retrieval module (28).
9. A colony image acquisition processing method is characterized by comprising the following steps:
s1: culturing bacterial colonies in each storage compartment, controlling the internal environment by using an environment controller (4), and collecting real-time environment parameters by using an environment collector (5);
s2: starting an image acquisition part, collecting image data of the bacterial colony, transmitting the image data to a processing module (8), and synchronously transmitting the environmental parameters to the processing module (8) by an environment acquisition device (5);
s3: the signal processing module (22) converts the environmental parameters acquired by the environmental acquisition unit (5) into display signals through the ADC, and displays the display signals on the display (7) according to the serial numbers (6);
s4: the signal processing module (22) adopts a space domain pixel characteristic denoising algorithm to denoise the colony image collected by the image collecting part, and the element extracting module (23) extracts the texture and the pixel value of the colony image;
s5: the resource package (10) acquires the existing various colony type characteristics and colony state characteristics from the cloud server (25), the YOYO neural network training module (9) takes the characteristics in the resource package (10) as a training set, compares the training set with colony image textures and pixel values extracted by the element extraction module (23), determines the type and state of colonies, and displays the colony type characteristics and the colony state characteristics on the display (7) according to the serial number (6);
s6: storing all data in a storage chip (26), and time stamping the data by using a timer (27);
s7: the stored data are retrieved through the man-machine interaction panel (29) in cooperation with the serial number retrieval module (28), the state change trend of each serial number bacterial colony at different time is obtained, the environmental parameters at the time are integrated, and the culture condition of the bacterial colony is judged.
10. The method for collecting and processing the colony image as claimed in claim 9, wherein the method comprises the steps of: in S2, start image acquisition portion, utilize pneumatic cylinder (12) to descend collection board (13), utilize microscope lens (17) to carry out the photomicrography to the bacterial colony, synchronous motor (19) drive wheel (18) rotate, change the position of microscope lens (17) on special-shaped pivot (15), the motor drives a set of special-shaped pivot (15) rotatory, the effect of cooperation belt pulley (20) and belt (21) drives all special-shaped pivot (15) rotatory, change the angle of microscope lens (17), carry out multi-dimensional image acquisition to the bacterial colony.
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