An optical imaging-assisted automated screening and optimization device for edible fungus breeding

Abstract

An optical imaging-assisted edible fungus breeding automated screening and optimization device belongs to the field of bioengineering breeding technology. The device includes a stage, a main rail, a secondary rail and an imaging instrument holder. When the device is used, the edible strain is first placed in the grid area of ​​the stage surface. After the host computer is parameterized and initialized, the main rail controls the lateral movement of the imaging instrument, the secondary rail controls the longitudinal movement of the imaging instrument, the imaging instrument collects image information of the edible strain, the host computer analyzes the image and extracts the phenotype, and the servo motor and the imaging instrument work within the set cycle. The present invention reduces human supervision and intervention, and greatly improves the efficiency and accuracy of information collection during edible fungus breeding and screening.

Description

Technical Field

[0001] The invention belongs to the technical field of bioengineering breeding, and in particular relates to an optical imaging-assisted edible fungus breeding automated screening and optimization device. Background Art

[0002] Edible fungus breeding refers to the mating between different species or different strains within a species, usually including hybrid pairing, tube propagation, primary screening, secondary screening, cultivation trials, demonstration and promotion, etc. In the primary screening and secondary screening stages, it is necessary to measure and calculate: 1. Mycelium growth rate; 2. Phenotypic characteristics of mushroom blocks (bags); 3. Phenotypic characteristics of fruiting bodies; 4. Fruiting body yield; 5. Suitable growth temperature and humidity, etc. Currently, commonly used measurement and calculation methods include: caliper measurement of the scale information of mycelium, mushroom blocks (bags), and fruiting bodies, and manual use of optical imaging instruments to obtain phenotypic information such as bacterial morphology and water content. Optical imaging enhances the information richness of phenotypic extraction and reduces the destructiveness to the bacteria, and is an effective auxiliary tool for breeding.

[0003] The objects of primary and secondary screening of edible fungi breeding are a wide variety of hybrid varieties, which requires a lot of manual collection of bacterial information. For real-time detection, frequent manual measurement is inefficient and easily causes entry registration errors, thus affecting the breeding progress and accuracy. Combining optical imaging methods, an edible fungi breeding automatic screening device is designed to monitor the phenotypic information of the bacteria regularly, replace manual measurement, avoid human errors or mistakes, and improve the efficiency and success rate of edible fungi breeding. Summary of the invention

[0004] In the edible fungus breeding and screening stage, in order to realize the automatic monitoring and screening function of the phenotypes of various varieties of fungi, the present invention provides an optical imaging-assisted edible fungus breeding automatic screening and optimization device, which is mainly composed of a stage and a sliding guide rail. The stage is divided into equal grids for placing strains of various varieties. The sliding guide rail is divided into a main rail and a secondary rail. The main rail is used to carry imaging instruments such as visible light cameras, multi-spectral cameras, and fluorescent cameras. The imaging instrument can move horizontally on the main rail, and the main rail can move vertically on the secondary rail to ensure that the imaging instrument can cover every grid of the stage. The specific technical scheme is as follows:

[0005] An optical imaging-assisted edible fungus breeding automated screening and optimization device comprises a stage, a main guide rail, a secondary guide rail and an imaging instrument holder;

[0006] The stage is composed of a support angle and a table top, and the table top is evenly divided into a number of grid areas, each of which is used to culture an edible strain, and is placed in a circular culture dish marking area in the center of the grid;

[0007] The main structure of the main guide rail is composed of a crossbeam and a support frame, which are connected by a triangular fixed bracket. A rubber guide strip is arranged on the upper and lower sides of the crossbeam, and two concave wheels with servo motors are engaged between the two rubber guide strips.

[0008] The main structure of the auxiliary guide rail is a crossbeam. Similar to the main guide rail, a rubber guide rail strip is arranged inside the crossbeam of the auxiliary guide rail, and two concave wheels with servo motors are engaged between the two rubber guide rail strips.

[0009] The main guide rail and the auxiliary guide rail are connected together through a triangular connector to ensure the stability of the structure, and the axis of the concave wheel is connected to the bottom edge corner of the triangular bracket;

[0010] The imaging instrument holder is connected to the axis of the concave wheel through a connector, and the lower end of the imaging instrument holder includes three imaging instrument fixing sites for fixing imaging instruments (including a visible light camera, a multispectral camera and a fluorescence camera), and the fixing sites can be rotated laterally to adjust the angle of the imaging instrument;

[0011] The servo motor on the main guide rail controls the concave wheel to rotate, allowing the imaging instrument to move laterally above the table;

[0012] The servo motor on the secondary guide rail controls the concave wheel to rotate, so that the primary guide rail moves longitudinally, thereby allowing the imaging instrument to move longitudinally above the table;

[0013] Under the motion control of the main rail and the auxiliary rail, the imaging instrument regularly takes timed images of the edible strains in each grid on the table, and transmits them back to the host computer for processing and analysis to obtain relevant phenotypic information;

[0014] The host computer records the encoding status of the servo motor and determines the grid area corresponding to the edible strain detected by the current camera. At the same time, the visible light camera collects image information, identifies the circular culture dish identification area, and feeds it back to the private server motor control system to adjust the position to obtain the best observation point.

[0015] The method for using the optical imaging-assisted edible fungus breeding automated screening and optimization device comprises the following steps:

[0016] Step 1:

[0017] Place each cultivated edible strain culture dish in the circular culture dish marking area within the grid area on the table, and set the growth conditions such as temperature and humidity;

[0018] Step 2:

[0019] The host computer controlling the servo motor, the imaging instrument and the image analysis is reset, the working cycle of the imaging system is set, the host computer performs initialization, and the imaging instrument holder is restored to the initial position;

[0020] Step 3: During the working cycle, the host computer controls the servo motors on the main rail and the auxiliary rail to move the imaging instrument holder to traverse and capture images of the edible strains on the table. The multispectral camera works around the clock, the visible light camera works during the day, and the fluorescent camera works at night. The host computer analyzes the images, obtains phenotypic information such as water content, component content, and growth potential of the edible strains from the multispectral images, and obtains phenotypic information such as the morphology and scale of the edible fungi from the visible light images and fluorescent images, and registers each phenotypic information;

[0021] Step 4:

[0022] After the growth cycle of edible fungi is over, the computer conducts a comprehensive analysis of the collected and registered phenotypic information, combines it with existing discrimination criteria, and retains the edible strains of excellent varieties.

[0023] Compared with the existing edible fungus breeding screening operation means, the optical imaging-assisted edible fungus breeding automatic screening optimization device of the present invention has the following beneficial effects:

[0024] 1. The main and auxiliary guide rails enable the imaging instrument to fully cover the grid area on the table. The precise control of the servo motor provides the basis for the automated operation of image acquisition, greatly improving the efficiency of phenotypic information acquisition.

[0025] Second, the positioning accuracy of the camera is further improved by combining the image analysis and circular target detection of the host computer;

[0026] 3. Using the encoder built into the servo motor, the ID of each grid area can be easily obtained, thereby realizing the automatic sorting of data entries;

[0027] Fourth, the three different imaging instruments complement each other to extract more phenotypic information and perform data verification to improve the accuracy of the extracted information;

[0028] 5. The stage is expandable vertically to enable larger sample-scale edible fungus breeding experiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a schematic diagram of the overall structure of an optical imaging-assisted edible fungus breeding automated screening and optimization device of the present invention;

[0030] Figure 2 A schematic diagram of a stage of an optical imaging-assisted edible fungus breeding automated screening and optimization device of the present invention;

[0031] Figure 3 A schematic diagram of the main track of an optical imaging-assisted edible fungus breeding automated screening and optimization device of the present invention;

[0032] Figure 4 A schematic diagram of a secondary guide rail of an optical imaging-assisted edible fungus breeding automated screening and optimization device of the present invention;

[0033] Figure 5 This is a schematic diagram of an imaging instrument holder of an optical imaging-assisted edible fungus breeding automated screening and optimization device of the present invention.

[0034] Wherein: 1- stage, 2- main rail, 3- secondary rail, 4- imaging instrument holder, 5- stage support angle, 6- table top, 7- circular culture dish marking area, 8- crossbeam, 9- main rail support frame, 10- triangle fixing bracket, 11- rubber guide bar, 12- concave wheel with servo motor, 13- triangle connector, 14- imaging instrument connector, 15- imaging instrument fixing site, 16- imaging instrument. DETAILED DESCRIPTION

[0035] The present invention is further described below in conjunction with specific implementation cases, but the present invention is not limited to these embodiments. Example

[0036] An optical imaging-assisted edible fungus breeding automated screening and optimization device comprises a stage 1, a main guide rail 2, a secondary guide rail 3 and an imaging instrument holder 4;

[0037] The stage 1 is composed of a support angle 5 and a table 6, the table 6 is evenly divided into 100×100 grid areas, each grid area is used to culture an edible strain, and a circular culture dish marking area 7 is placed in the center of the grid;

[0038] The main structure of the main rail 2 is composed of a crossbeam 8 and a support frame 9, which are connected by a triangular fixed bracket 10. A rubber rail strip 11 is arranged on the upper and lower parts of the crossbeam 8, and two concave wheels 12 with servo motors are engaged between the two rubber rail strips 11.

[0039] The main structure of the auxiliary guide rail 3 is a crossbeam 8. Similar to the main guide rail, a rubber guide rail strip 11 is provided inside the crossbeam 8 of the auxiliary guide rail, and two concave wheels 12 with servo motors are engaged between the two rubber guide rail strips 11.

[0040] The main guide rail 2 and the auxiliary guide rail 3 are connected together by a triangular connector 13 to ensure the stability of the structure. The axis of the concave wheel 12 is welded to the bottom edge of the triangular bracket 13.

[0041] The imaging instrument holder 4 is connected to the axis of the concave wheel 12 via a connector 14, and the lower end of the imaging instrument holder 4 includes three imaging instrument fixing sites 15 for fixing imaging instruments 16 (including a visible light camera, a multi-spectral camera and a fluorescence camera);

[0042] The servo motor on the main guide rail controls the concave wheel 12 to rotate, allowing the imaging instrument 16 to monitor the table 6 laterally;

[0043] The servo motor on the secondary guide rail controls the concave wheel 12 to rotate, so that the primary guide rail moves longitudinally, thereby allowing the imaging instrument 16 to monitor the table 6 longitudinally;

[0044] Under the motion control of the main rail and the auxiliary rail, the imaging instrument 16 regularly takes images of the edible strains in each grid on the table 6 one by one, and transmits the images back to the host computer for processing and analysis to obtain relevant phenotypic information;

[0045] The host computer records the encoding status of the servo motor and determines the grid area corresponding to the edible strain detected by the current camera. At the same time, the visible light camera collects image information, identifies the circular culture dish identification area, and feeds it back to the private server motor control system to adjust the position to obtain the best observation point.

[0046] A method for using an optical imaging-assisted edible fungus breeding automated screening and optimization device comprises the following steps:

[0047] Step 1:

[0048] Each culture dish of cultivated edible strains is placed in the circular culture dish marking area 7 in the grid area of ​​the table 6, and a set of growth environment is set: temperature 28° C., humidity 80%.

[0049] Step 2:

[0050] The host computer controlling the servo motor, the imaging instrument and the image analysis is reset, the working cycle of the imaging system is set to 2 hours, the host computer performs initialization, and the imaging instrument holder 4 is restored to the initial position;

[0051] Step 3: During the working cycle, the host computer controls the servo motors on the main guide rail 2 and the auxiliary guide rail 3 to move the imaging instrument holder 4 to traverse and capture images of the edible strains on the table. The multispectral camera works around the clock, the visible light camera works during the day (8:00-18:00), and the fluorescent camera works at night (18:00-8:00). The host computer analyzes the images, obtains phenotypic information such as water content, component content, and growth potential of the edible strains from the multispectral images, and obtains phenotypic information such as the morphology and scale of the edible fungi from the visible light images and fluorescent images, and registers various phenotypic information;

[0052] Step 4:

[0053] After the growth cycle of edible fungi is over, the computer conducts a comprehensive analysis of the collected and registered phenotypic information, combines it with existing discrimination criteria, and retains the edible strains of excellent varieties.

[0054] The optical imaging-assisted edible fungus breeding automatic screening and optimization device of this embodiment, when the device is used, firstly, the edible strain is placed in the grid area of ​​the stage table, after the host computer is parameterized and initialized, the main rail controls the lateral movement of the imaging instrument, the auxiliary rail controls the longitudinal movement of the imaging instrument, the imaging instrument collects the image information of the edible strain, the host computer analyzes the image and extracts the phenotype, and the servo motor and the imaging instrument work within the set cycle. The present invention reduces human supervision and intervention, and greatly improves the efficiency and accuracy of information collection.

Claims

1. An optical imaging-assisted edible fungus breeding automated screening and optimization device, characterized in that: A stage (1), a main guide rail (2), a secondary guide rail (3) and an imaging instrument holder (4); the stage (1) is composed of a support angle (5) and a table top (6), and edible strains are placed in a circular culture dish marking area (7) in the center of the grid; the main structure of the main guide rail (2) is composed of a crossbeam (8) and a support frame (9), which are connected by a triangular fixing bracket (10); a rubber guide rail (11) is arranged on the upper and lower parts of the crossbeam (8), and a concave wheel (12) is located between the two rubber guide rails (11). The main structure of the auxiliary guide rail (3) is a crossbeam (8), and the main guide rail (2) and the auxiliary guide rail (3) are connected together via a triangular connector (13); the imaging instrument holder (4) is connected to the axis of the concave wheel (12) via a connector (14), and the lower end of the imaging instrument holder (4) comprises three imaging instrument fixing sites (15) for fixing the imaging instrument (16); the table top (6) is evenly divided into a plurality of grids, and the center of the grid is marked by a regular geometric figure for placing Edible strains, the main guide rail (2) uses two concave wheels to ensure the stability of the imaging instrument holder, the concave wheel (12) of the auxiliary guide rail (3) is connected to the support frame (9) of the main guide rail (2) by a triangular connector (13) to ensure the stability of the main guide rail (2), the servo motor on the main guide rail (2) controls the concave wheel (12) to rotate, so that the imaging instrument (16) moves horizontally above the table (6), the servo motor on the auxiliary guide rail (3) controls the concave wheel (12) to rotate, so that the main guide rail moves longitudinally, so that the imaging instrument (16) moves longitudinally above the table (6), the fixing point (15) of the imaging instrument holder can adjust the angle laterally to ensure alignment with the target, under the motion control of the main guide rail and the auxiliary guide rail, the imaging instrument (16) regularly takes timed shots of the edible strains in each grid on the table (6) one by one, and feeds back to the private servo motor control system through the encoding state of the servo motor and the identification of the circular culture dish identification area (7), so as to adjust the position to obtain the best observation point.

2. The method for using the optical imaging-assisted edible fungus breeding automated screening and optimization device according to claim 1, characterized in that: The following steps are included: Step 1: Place each culture dish of the cultivated edible strain in the circular culture dish marking area (7) within the grid area of ​​the table (6), and set the temperature and humidity growth conditions; Step 2: The host computer controlling the servo motor, the imaging instrument and the image analysis is reset, the working cycle of the imaging system is set, the host computer performs initialization, and the imaging instrument holder (4) is restored to the initial position; Step 3: During the working cycle, the host computer controls the servo motors on the main guide rail (2) and the auxiliary guide rail (3) to move the imaging instrument holder (4) to traverse and capture images of the edible strains on the table, wherein the multispectral camera works around the clock, the visible light camera works during the day, and the fluorescent camera works at night. The host computer analyzes the images, obtains the water content, component content, and growth phenotype information of the edible strains from the multispectral images, obtains the morphological and scale phenotype information of the edible fungi from the visible light images and the fluorescent images, and registers each phenotype information; Step 4: After the growth cycle of edible fungi is over, the computer conducts a comprehensive analysis of the collected and registered phenotypic information, combines it with existing identification criteria, and retains the edible strains of excellent varieties.

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