Program, information processing method, information processor, and bacterial liquid preparation system

Abstract

To provide a program or the like that can select an appropriate bacterial transfer method and suspending method corresponding to types of microorganisms forming a colony.SOLUTION: A program allows a computer to execute processing of acquiring a colony image of microorganisms, specifying a type of microorganisms forming a colony by inputting the acquired colony image to a learned model so as to specify a type of microorganisms forming the colony in the case where the colony image is input, and selecting a bacterial transfer method and a suspending method of microorganisms from a plurality of patterns of bacterial transfer methods and suspending methods corresponding to a specified type of microorganisms.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to a program, an information processing method, an information processing device, and a bacterial liquid preparation system. [Background technology]

[0002] There is a picking device that automatically picks a part of a colony of a microorganism cultured in a medium and prepares a suspension. For example, Patent Document 1 discloses a bacteria picking device that includes a bacteria picking tool for picking a colony, a drive unit for driving the bacteria picking tool at least in the vertical direction, and a stand for placing a petri dish, and that switches the bacteria picking operation of the bacteria picking tool depending on which group the colony to be picked belongs to when the colonies are classified into several groups. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2011-254806 A Summary of the Invention [Problem to be solved by the invention]

[0004] In one aspect, an object of the present invention is to provide a program or the like that enables selection of an appropriate picking method and suspension method depending on the type of colony-forming microorganism. [Means for solving the problem]

[0005] In one aspect, the program causes a computer to execute a process of acquiring a microbial colony image, inputting the acquired colony image into a model that has been trained to identify the type of microorganism that forms a colony when the colony image is input, thereby identifying the type of microorganism that forms the colony, and selecting a method for picking up and suspending the microorganism from a plurality of patterns of picking up and suspending methods depending on the type of microorganism identified. Effect of the Invention

[0006] In one aspect, appropriate picking and suspending methods can be selected depending on the type of colony-forming microorganism. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 is an explanatory diagram showing a configuration example of a bacterial liquid preparation system. [Diagram 2] FIG. 2 is a block diagram showing an example of the configuration of a server. [Diagram 3] FIG. 2 is a block diagram showing a configuration example of a terminal. [Figure 4] FIG. 13 is an explanatory diagram illustrating an example of a record layout of a bacteria-fishing table. [Diagram 5] FIG. 1 is an explanatory diagram showing an overview of an embodiment. [Figure 6] FIG. 1 is an explanatory diagram showing types of fishing hooks. [Figure 7] 13 is a flowchart showing the steps of a learning model generation process. [Figure 8] 1 is a flowchart showing the procedure of a bacterial liquid preparation process. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] The present invention will now be described in detail with reference to the drawings showing embodiments thereof. (Embodiment 1) Fig. 1 is an explanatory diagram showing an example of the configuration of a bacteria liquid preparation system. In this embodiment, a bacteria liquid preparation system will be described, which is a system that automatically picks up (picks up) colonies cultured in a medium to prepare a bacteria liquid, identifies the type of microorganism (e.g., bacteria) that forms the colony from a colony image, and selects a bacteria picking method and a suspension method according to the identified type of microorganism. The bacteria liquid preparation system includes a server 1, a terminal 2, and a bacteria picking device 3. The server 1 and the terminal 2 are communicatively connected via a network N.

[0009] In addition, the "microorganisms" targeted in this embodiment may include bacteria such as Escherichia coli, Staphylococcus aureus, Pseudomonas aeruginosa, and the like, as well as fungi such as mold and yeast. The "microorganisms" may be any that form colonies, and are not limited to bacteria.

[0010] The server 1 is a server computer capable of various information processing and transmitting and receiving information. The computer equivalent to the server 1 may be a personal computer or the like. The server 1 learns predetermined training data, and generates a learning model 50 (see FIG. 5) that identifies the type of microorganism forming a colony and the position of the colony when a colony image of a captured colony is input.

[0011] Terminal 2 is an information processing terminal capable of various information processing and information transmission and reception, such as a personal computer. In this embodiment, server 1 and terminal 2 are separate computers, but they may be the same computer. Data of learning model 50 generated by server 1 is installed in terminal 2, and terminal 2 identifies the type of microorganism forming a colony and the position of the colony from the colony image using learning model 50. As will be described later, terminal 2 selects a method of picking up and suspending microorganisms according to the type of microorganism identified, and controls picking device 3 according to the selected picking and suspending methods.

[0012] The bacteria picking device 3 is a device that automatically picks up microorganisms from a culture medium and suspends them in a container containing a solvent (water, physiological saline, buffer solution, liquid culture medium, alcohol, organic solvent, etc.) to prepare a bacteria liquid. In this embodiment, the bacteria picking and suspension may be performed manually according to a bacteria picking method and a suspension method selected according to the type of microorganism, but in the following, the process from picking up bacteria to suspension is performed fully automatically by the bacteria picking device 3.

[0013] The bacteria picking device 3 includes a control unit 31, an imaging unit 32, a fishing needle driving unit 33, a fishing needle 34, a vibrator 35, a base 36, a cutting unit 37, and a container vibration unit 38. The control unit 31 is a control device such as a CPU (Central Processing Unit) that controls each unit of the bacteria picking device 3. The imaging unit 32 is a camera that captures an image of a petri dish 39 placed on the base 36 by a transport arm (not shown).

[0014] The fishing needle drive unit 33 includes an actuator for moving the fishing needle 34 in the X, Y, and Z directions, and moves the fishing needle 34 attached to the tip so that it adheres to a colony on the culture medium of the petri dish 39. As will be described later, there are various types of fishing needles 34 (see FIG. 6), and the fishing device 3 changes the fishing needle 34 to a type that corresponds to the type of microorganism specified by the terminal 2 to fish for bacteria. When fishing for bacteria from the petri dish 39, the fishing needle drive unit 33 moves to above a container 40 in which a solvent has been placed beforehand, and places the fishing needle 34 in the container 40 to suspend the bacteria. The fishing needle drive unit 33 functions as a fishing unit that collects microorganisms with the fishing needle 34.

[0015] The vibrator 35 is a vibrator that vibrates the fishing hook 34, and is provided near the fishing hook 34. As will be described later, the fishing device 3 vibrates the fishing hook 34 by the vibrator 35 during suspension in accordance with the type of microorganism identified by the terminal 2.

[0016] Methods for vibrating the fishing needle include high-frequency vibration using ultrasonic waves and low-frequency vibration using a vibration motor. In the high-frequency vibration using ultrasonic waves, vibrations generated using an ultrasonic vibrator using a piezoelectric element or a magnetostrictive vibrator are transmitted to the needle by the elasticity of metal. Depending on the strength and duration of vibration, there is a risk of destroying the cell walls of bacteria. In the low-frequency vibration using a vibration motor used in smartphone vibrators, vibrations are generated and transmitted to the needle by mechanically rotating or reciprocating the vibrator. Since the vibration using a vibration motor can be set to a lower frequency and a larger amplitude than the vibration using ultrasonic waves, not only can damage to bacteria be reduced, but the microorganisms on the fishing needle can be suspended more uniformly in the solvent. Therefore, in this embodiment, a low-frequency vibration using a vibration motor is adopted as the vibration method for the fishing needle during suspension.

[0017] The cutting unit 37 has a high-temperature wire (for example, a nichrome wire that becomes hot when electricity is applied) at its tip, and performs a cutting operation to cut the viscous thread that is generated when bacteria are picked. Depending on the type of microorganism, a viscous thread may be pulled from the fishing needle 34 when bacteria are picked, which may cause contamination, etc. Therefore, the fishing device 3 performs a cutting operation using the cutting unit 37 when bacteria are picked, depending on the type of microorganism identified by the terminal 2.

[0018] The container vibrating unit 38 is a device that vibrates the container 40 during suspension. As will be described later, the bacteria fishing device 3 vibrates the container 40 by the container vibrating unit 38 in accordance with the type of microorganism identified by the terminal 2.

[0019] In this embodiment, the terminal 2 that identifies the type of microorganism using the learning model 50 and the bacteria picking device 3 that picks up and suspends the microorganisms are described as separate devices, but this embodiment is not limited to this, and the processing performed by each device may be performed by an integrated device (bacterial picking device 3).

[0020] 2 is a block diagram showing an example of the configuration of the server 1. The server 1 includes a control unit 11, a main storage unit 12, a communication unit 13, and an auxiliary storage unit . The control unit 11 has one or more arithmetic processing devices such as a CPU, a Micro-Processing Unit (MPU), a Graphics Processing Unit (GPU), etc., and performs various information processing, control processing, etc. by reading and executing a program P1 stored in the auxiliary storage unit 14. The main storage unit 12 is a temporary storage area such as a Static Random Access Memory (SRAM) or a Dynamic Random Access Memory (DRAM), and temporarily stores data required for the control unit 11 to execute arithmetic processing. The communication unit 13 is a communication module for performing processing related to communication, and transmits and receives information to and from the outside. The auxiliary storage unit 14 is a non-volatile storage area such as a large-capacity memory or a hard disk, and stores the program P1 (program product) and other data required for the control unit 11 to execute processing.

[0021] The auxiliary storage unit 14 may be an external storage device connected to the server 1. The server 1 may be a multi-computer consisting of a plurality of computers, or may be a virtual machine virtually constructed by software.

[0022] In the present embodiment, the server 1 is not limited to the above configuration, and may include, for example, an input unit for accepting operation input, a display unit for displaying images, etc. The server 1 may also include a reading unit for reading a portable storage medium 1a such as a CD (Compact Disk)-ROM or a DVD (Digital Versatile Disc)-ROM, and may read and execute the program P1 from the portable storage medium 1a.

[0023] 3 is a block diagram showing an example of the configuration of the terminal 2. The terminal 2 includes a control unit 21, a main memory unit 22, a communication unit 23, a display unit 24, an input unit 25, and an auxiliary memory unit . The control unit 21 has one or more processors such as CPUs, and performs various information processing by reading and executing a program P2 stored in the auxiliary storage unit 26. The main storage unit 22 is a temporary storage area such as RAM, and temporarily stores data necessary for the control unit 21 to execute arithmetic processing. The communication unit 23 is a communication module for performing processing related to communication, and transmits and receives information to and from the outside. The display unit 24 is a display screen such as a liquid crystal display, and displays images. The input unit 25 is an operation interface such as a mouse and keyboard, and accepts operation input from the user.

[0024] The auxiliary storage unit 26 is a non-volatile storage area such as a hard disk, and stores a program P2 (program product) and other data necessary for the control unit 21 to execute processing. The auxiliary storage unit 26 also stores a learning model 50 and a bacteria-picking table 261. The learning model 50 is a machine learning model that has learned predetermined training data, and is a model that identifies the type of microorganism that forms a colony and the position of the colony when a colony image is input. The bacteria-picking table 261 is a table that associates each colony with the type of microorganism and specifies the method of picking up and suspending the microorganism.

[0025] The terminal 2 may be provided with a reading unit for reading a portable storage medium 2a such as a CD-ROM, and may read and execute the program P2 from the portable storage medium 2a.

[0026] 4 is an explanatory diagram showing an example of a record layout of the harvested bacteria table 261. The harvested bacteria table 261 stores a bacterial species ID column, a bacterial species name column, a gram classification column, a bacterial shape column, a needle shape column, a suspension condition column, a vertical detachment column, and a cutting column. The bacterial species ID column stores a bacterial species ID for identifying each bacterial species. The bacterial species name column, the gram classification column, the bacterial shape column, the needle shape column, the suspension condition column, the vertical detachment column, and the cutting column store, in association with the bacterial species ID, the bacterial species name, the gram classification if the microorganism is a bacterium, the shape of the microorganism, the shape (type) of the fishing needle used when harvesting bacteria, the suspension conditions (the vibration time of the fishing needle by the vibrator 35, and the number of vibrations and the vibration time of the container per unit time), the content of the vertical detachment operation of the fishing needle during suspension (for example, the number of vertical detachment operations), and whether or not a cutting operation was performed.

[0027] 5 is an explanatory diagram showing an overview of the embodiment, and the overview of the embodiment will be described with reference to FIG.

[0028] 5 illustrates how the type of microorganism forming a colony and the position of the colony are identified (detected) when a colony image is input to the learning model 50. The learning model 50 is a machine learning model that has learned predetermined training data, such as a CNN (Convolutional Neural Network).

[0029] The learning model 50 may be a neural network other than CNN. The learning model 50 may be a machine learning model other than a neural network, such as a decision tree or a Support Vector Machine (SVM).

[0030] The server 1 generates a learning model 50 using training data in which a training colony image is associated with a correct label indicating the type of microorganism forming the colony and the position of the colony. The server 1 inputs the training colony image into the learning model 50 to identify the type of microorganism forming the colony and the position of the colony. The server 1 compares the identified type of microorganism and the position of the colony with the correct label, and adjusts parameters such as weights between neurons so that the two are close to each other. The server 1 sequentially provides a group of training colony images to the learning model 50 to perform learning, and finally generates a learning model 50 with optimized parameters.

[0031] As described above, the data of the learning model 50 generated by the server 1 is installed in the terminal 2. When actually preparing a bacteria liquid, the terminal 2 acquires a colony image captured by the imaging unit 32 from the bacteria picking device 3. The terminal 2 then inputs the acquired colony image into the learning model 50 to identify the type of microorganism forming the colony and the position of the colony. The terminal 2 transmits the position (coordinates) of the identified colony to the bacteria picking device 3, thereby picking up the microorganism from the identified position.

[0032] In this embodiment, the terminal 2 further refers to the bacteria picking table 261 and selects a method for picking and suspending microorganisms (colonies) from a plurality of patterns of bacteria picking and suspending methods according to the type of microorganism specified above. As described above, the bacteria picking table 261 specifies the methods for picking and suspending microorganisms in association with the type of microorganism. Specifically, the bacteria picking table 261 specifies the type of bacteria picking needle used for picking bacteria, the vibration operation of the bacteria picking needle during suspension, the vertical removal operation of the bacteria picking needle during suspension, the vibration operation of the container containing the picked microorganisms, and the cutting operation of cutting the viscous thread generated during picking with a high-temperature wire.

[0033] FIG. 6 is an explanatory diagram showing the types of fishing needles. In this system, four types of fishing needles shown in FIG. 6 are used for different purposes. The toothpick type is a needle made of, for example, stainless steel and with a toothpick-shaped tip. The bullet type is a needle made of stainless steel and with a rounded tip like a bullet. The sphere type is a needle made of stainless steel and with a spherical tip. The tapered round tip type is a needle made of stainless steel and with a tapered shape but with a rounded tip.

[0034] The amount of bacteria that can be collected will be increased if you use a toothpick-shaped tip for Staphylococcus aureus, a toothpick-shaped or bullet-shaped tip for Escherichia coli, a spherical tip for Pseudomonas aeruginosa, a toothpick-shaped tip for non-mucoid Klebsiella pneumoniae, and a spherical tip for mucoid Klebsiella pneumoniae.

[0035] The material of the fishing needle is not limited to stainless steel. The shape of the fishing needle is not limited to the shape shown in FIG. 6. The hardness of the fishing needle is not limited. The surface of the fishing needle may be processed or coated with a solution or the like. The fishing needle may be reusable or disposable.

[0036] The bacteria-fishing table 261 specifies the type (shape) of the fishing hook to be used for fishing the bacteria in association with the type of microorganism (see FIG. 4). Specifically, the following fishing hooks are specified to be used for fishing the bacteria: a toothpick type for Staphylococcus aureus, a toothpick type or a bullet type for Escherichia coli, a spherical type for Pseudomonas aeruginosa, a toothpick type for nonmucoid Klebsiella pneumoniae, and a spherical type for mucoid Klebsiella pneumoniae. The terminal 2 selects one of the fishing hooks according to the type of microorganism specified above. That is, the terminal 2 selects the toothpick type for Staphylococcus aureus, the toothpick type or the bullet type for Escherichia coli, the spherical type for Pseudomonas aeruginosa, the toothpick type for nonmucoid Klebsiella pneumoniae, and the spherical type for mucoid Klebsiella pneumoniae.

[0037] The terminal 2 then mounts the selected fishing hook on the fishing hook drive unit 33, and controls the fishing device 3 to correct the needle center position as necessary to align the fishing hook drive unit before fishing for bacteria. In this way, by selecting a fishing hook according to the type of microorganism, it is possible to increase the amount of microorganisms collected, prevent contamination due to contact between adjacent colonies, or adjust these factors. The fishing hook can be mounted on the fishing hook drive unit 33 by, for example, using a mechanism such as suction, a magnet, or a clip, or by fitting the fishing hook into the fishing hook drive unit 33.

[0038] In addition, the bacteria picking table 261 specifies, in association with the type of microorganism, whether or not to vibrate the bacteria picking needle during suspension and the details of the vibration operation (vibration time) as suspension conditions (see FIG. 4). The terminal 2 determines whether or not to vibrate the bacteria picking needle depending on the type of microorganism specified above, and if it determines to vibrate the bacteria picking needle, reads out the vibration time of the bacteria picking needle from the bacteria picking table 261. The terminal 2 then transmits the read vibration time to the bacteria picking device 3 and controls the bacteria picking device 3 so that the transducer 35 vibrates the bacteria picking needle for the vibration time. In this way, by controlling the vibration operation of the bacteria picking needle depending on the type of microorganism, the bacteria can be suitably detached from the bacteria picking needle.

[0039] The bacteria-picking table 261 also specifies, in association with the type of microorganism, whether or not to perform a vertical detachment operation of the fishing needle during suspension, and the details (number of times) of the vertical detachment operation. The vertical detachment operation refers to an operation of repeatedly vertically detaching the fishing needle from the solvent liquid surface. The terminal 2 determines whether or not to perform a vertical detachment operation of the fishing needle according to the type of microorganism specified above, and when it determines to perform a vertical detachment operation, reads out the number of vertical detachment operations from the bacteria-picking table 261. The terminal 2 then transmits the read-out number of times to the bacteria-picking device 3, and controls the bacteria-picking device 3 so that the fishing needle drive unit 33 vertically detaches the fishing needle a predetermined number of times. In this way, by controlling the vertical detachment operation of the fishing needle according to the type of microorganism, the bacteria can be suitably detached from the fishing needle.

[0040] In addition, the bacteria picking table 261 specifies, in association with the type of microorganism, whether or not to vibrate the container during suspension, and the details of the vibration operation (the number of vibrations of the container per unit time and the vibration time) as suspension conditions (see FIG. 4). The terminal 2 determines whether or not to vibrate the solvent container during suspension according to the type of microorganism identified above, and if it determines to perform a vibration operation, reads out the number of vibrations and the vibration time of the container from the bacteria picking table 261. The terminal 2 then transmits the read-out number of vibrations and the vibration time to the bacteria picking device 3, and controls the bacteria picking device 3 so that the container vibrating unit 38 vibrates the solvent container a specified number of times for the vibration time. In this way, by controlling the vibration operation of the solvent container according to the type of microorganism, the bacteria detached from the solvent can be uniformly dispersed in the solvent.

[0041] Furthermore, bacteria picking table 261 specifies whether or not to perform a cutting operation of the viscous thread generated during bacteria picking, in association with the type of microorganism. Terminal 2 determines whether or not to perform a cutting operation depending on the type of microorganism identified above. If it is determined that a cutting operation should be performed, terminal 2 controls bacteria picking device 3 so that cutting unit 37 performs a cutting operation during bacteria picking. In this way, by controlling the cutting operation to be performed depending on the type of microorganism, microbial contamination can be prevented.

[0042] In FIG. 4, multiple patterns of the bacteria picking method and suspension method are associated with one type of microorganism (for example, four patterns are associated with the bacterial species ID "10001"), but terminal 2 may select any pattern as the bacteria picking method and suspension method.

[0043] As described above, in this embodiment, the type of microorganism is identified from the colony image by the learning model 50, and the optimal bacteria picking method and suspension method are selected according to the identified type of microorganism. Particularly in this embodiment, the bacteria picking device 3 is controlled based on the selected bacteria picking method and suspension method, thereby fully automatically preparing the bacteria liquid. This allows the bacteria liquid to be prepared in an optimal manner.

[0044] Fig. 7 is a flowchart showing the procedure of the generation process of the learning model 50. The process contents when generating the learning model 50 by machine learning will be described with reference to Fig. 7. The control unit 11 of the server 1 acquires training data for generating the learning model 50 (step S11). The training data is data in which a training colony image is associated with a correct label indicating the type of microorganism forming the colony and the position of the colony.

[0045] Based on the training data, the control unit 11 generates a learning model 50 that has been trained to identify the type of microorganism that forms a colony and the position of the colony when a colony image is input (step S12). For example, the control unit 11 generates a CNN as the learning model 50. The control unit 11 inputs a training colony image to the learning model 50 to identify the type of microorganism that forms a colony and the position of the colony. The control unit 11 compares the identified type of microorganism and the position of the colony with the correct label, and optimizes parameters such as the weights between neurons so that the two are similar to each other, thereby generating the learning model 50. The control unit 11 ends the series of processes.

[0046] Fig. 8 is a flow chart showing the procedure of the bacteria liquid preparation process. The process of identifying the type of microorganisms that form colonies using the learning model 50, selecting the method of picking up and suspending the microorganisms, and preparing the bacteria liquid will be described with reference to Fig. 8. The control unit 21 of the terminal 2 acquires a colony image from the bacteria picking device 3 (imaging unit 32) (step S31). The control unit 21 inputs the acquired colony image into the learning model 50 to identify the type of microorganism forming the colony and the position of the colony (step S32).

[0047] The control unit 21 refers to the bacteria fishing table 261, which specifies the methods for fishing and suspending microorganisms in association with the types of microorganisms, and selects the method for fishing and suspending microorganisms according to the type of microorganism specified in step S32 (step S33). Specifically, as described above, the control unit 21 selects the type of fishing needle used for fishing bacteria, the vibration operation of the fishing needle during suspension, the vertical removal operation of the fishing needle during suspension, the vibration operation of the container containing the fished microorganisms, and the cutting operation of cutting the viscous thread generated during fishing with a high-temperature wire.

[0048] The control unit 21 controls the bacteria fishing device 3 according to the selected bacteria fishing method and suspension method (step S34). That is, the control unit 21 mounts the fishing needle to the fishing needle driving unit 33 according to the type of fishing needle selected in step S33, and causes the fishing needle to be fished. If the vibration operation of the fishing needle during suspension is selected in step S33, the control unit 21 causes the vibrator 35 to vibrate the fishing needle during suspension. If the vertical detachment operation of the fishing needle during suspension is selected in step S33, the control unit 21 causes the fishing needle driving unit 33 to perform the vertical detachment operation of the fishing needle during suspension. If the vibration operation of the container is selected in step S33, the control unit 21 causes the container vibration unit 38 to vibrate the container during suspension. If the cutting operation is selected in step S33, the control unit 21 causes the cutting unit 37 to perform the cutting operation during fishing. The control unit 21 ends the series of processes.

[0049] In the above description, the type of microorganism that forms a colony is identified by the learning model 50, and a method for picking up and suspending the microorganism is selected according to the type of microorganism. However, the terminal 2 may display the selected method for picking up and suspending the microorganism (type of fishing needle, vibration time of the fishing needle during suspension, number of times the fishing needle is vertically removed during suspension, etc.) before picking up and suspending the microorganism. In this case, the terminal 2 may receive setting input from the user to change the method for picking up and suspending the microorganism, and control the bacteria picking device 3 to pick up and suspend the microorganism using the changed method for picking up and suspending the microorganism. This allows the user to optimize the method for picking up and suspending the microorganism.

[0050] Furthermore, although not specifically described above, terminal 2 identifies the type of microorganism in each of multiple colonies and the position of the colony from the colony image, selects a bacteria picking method and a suspension method for each colony according to the type of microorganism that forms that colony, and causes bacteria picking device 3 to pick up and suspend each colony in succession. Here, if the colonies are of the same type, terminal 2 may collectively receive setting inputs for changing the bacteria picking method and suspension method for each colony, and control bacteria picking device 3 to pick up and suspend all colonies using the changed bacteria picking method and suspension method. This allows bacteria to be picked up and suspended collectively using the bacteria picking method and suspension method optimized by the user.

[0051] As described above, according to this embodiment, it is possible to select an appropriate picking method and suspending method depending on the type of microorganism that forms a colony.

[0052] The embodiments disclosed herein are illustrative in all respects and should not be considered as limiting. The scope of the present invention is defined by the claims, not by the above meaning, and is intended to include all modifications within the scope and meaning equivalent to the claims.

[0053] The matters described in each embodiment can be combined with each other. In addition, the independent claims and dependent claims described in the claims can be combined with each other in any and all combinations regardless of the citation format. Furthermore, the claims use a format in which a claim cites two or more other claims (multi-claim format), but this is not limited to this. They may also be written using a format in which a multiple claim cites at least one other multiple claim (multi-multi claim). [Explanation of symbols]

[0054] 1 Server 11 Control section 12 Main memory 13. Communications Department 14 Auxiliary storage P1 Program 2. Terminal 21 Control section 22 Main memory 23 Communications Department 24 Display section 25 Input section 26 Auxiliary storage P2 Program 50 Learning Model 261 Fishing Bacteria Table 3 Fishing bacteria device 31 Control Unit 32 Imaging unit 33 Fishing needle drive unit 34 Fishing hook 35 Transducers 36 Pedestal 37 Cut section 38 Container vibration section 39 Petri dish 40 containers

Claims

1. Acquire images of microbial colonies, Identifying the type of microorganism that forms a colony by inputting the acquired colony image into a model that has been trained to identify the type of microorganism that forms a colony when the colony image is input; A method for picking up and suspending the microorganism is selected from a plurality of patterns of methods for picking up and suspending the microorganism according to the type of the identified microorganism. A program that causes a computer to carry out processing.

2. According to the selected bacteria-catching method and suspension method, a bacteria-catching device is controlled, which has a bacteria-catching section for catching microorganisms with a bacteria-catching needle, a container vibration section for vibrating a container in which the caught microorganisms are placed, and a cutting section for cutting the viscous threads generated during the bacteria-catching process with a high-temperature wire. The program according to claim 1.

3. Depending on the type of microorganism identified, a hook to be used for picking the bacteria is selected. The program according to claim 1.

4. When the identified microorganism is Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, non-mucoid Klebsiella pneumoniae, or mucoid Klebsiella pneumoniae, select one of the toothpick-shaped, bullet-shaped, and spherical-shaped hooks to be used for picking up the bacteria. The program according to claim 1.

5. Depending on the type of microorganism identified, the vibration operation of the fishing needle during suspension is selected. The program according to claim 1.

6. The vibration method of the fishing needle during suspension is a low-frequency vibration method. The program according to claim 1.

7. Depending on the type of microorganism identified, the vertical removal procedure of the fishing needle during suspension is selected. The program according to claim 1.

8. Depending on the type of the identified microorganism, the vibration operation of the container in which the picked microorganism is placed is selected. The program according to claim 1.

9. Depending on the type of microorganism identified, a cutting procedure is selected in which the viscous thread that is generated during picking is cut with a high-temperature wire. The program according to claim 1.

10. Acquire images of microbial colonies, Identifying the type of microorganism that forms a colony by inputting the acquired colony image into a model that has been trained to identify the type of microorganism that forms a colony when the colony image is input; A method for picking up and suspending the microorganism is selected from a plurality of patterns of methods for picking up and suspending the microorganism according to the type of the identified microorganism. An information processing method in which processing is performed by a computer.

11. An information processing device including a control unit, The control unit: Acquire images of microbial colonies, Identifying the type of microorganism that forms a colony by inputting the acquired colony image into a model that has been trained to identify the type of microorganism that forms a colony when the colony image is input; A method for picking up and suspending the microorganism is selected from a plurality of patterns of methods for picking up and suspending the microorganism according to the type of the identified microorganism. Information processing device.

12. a bacteria-fishing device having an imaging section for capturing colony images of microorganisms, a bacteria-fishing section for fishing the microorganisms with a bacteria-fishing hook, a container vibration section for vibrating a container in which the fished microorganisms are placed, and a cutting section for cutting a viscous thread generated during the fishing with a high-temperature wire; A bacterial liquid preparation system comprising an information processing device having a control unit, The control unit: Identifying the type of microorganism that forms a colony by inputting the acquired colony image into a model that has been trained to identify the type of microorganism that forms a colony when the colony image is input; Selecting a method for picking up and suspending the microorganism from a plurality of patterns of methods for picking up and suspending the microorganism according to the type of the identified microorganism; The bacteria-catching unit, the container vibration unit, and the cutting unit are controlled according to the selected bacteria-catching method and suspension method. Bacterial liquid preparation system.

Images