WO2023153413A1 - 2種類以上の細胞を含む培養細胞における目的細胞の割合を予測するためのシステム、プログラム及び方法 - Google Patents

2種類以上の細胞を含む培養細胞における目的細胞の割合を予測するためのシステム、プログラム及び方法 Download PDF

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WO2023153413A1
WO2023153413A1 PCT/JP2023/004073 JP2023004073W WO2023153413A1 WO 2023153413 A1 WO2023153413 A1 WO 2023153413A1 JP 2023004073 W JP2023004073 W JP 2023004073W WO 2023153413 A1 WO2023153413 A1 WO 2023153413A1
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cells
information
doubling time
time
cell
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French (fr)
Japanese (ja)
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匡記 松村
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Terumo Corp
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Terumo Corp
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    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12MAPPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY; APPARATUS FOR CULTURING MICROORGANISMS FOR PRODUCING BIOMASS, FOR GROWING CELLS OR FOR OBTAINING FERMENTATION OR METABOLIC PRODUCTS, i.e. BIOREACTORS OR FERMENTERS
    • C12M1/00Apparatus for enzymology or microbiology
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12MAPPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY; APPARATUS FOR CULTURING MICROORGANISMS FOR PRODUCING BIOMASS, FOR GROWING CELLS OR FOR OBTAINING FERMENTATION OR METABOLIC PRODUCTS, i.e. BIOREACTORS OR FERMENTERS
    • C12M1/00Apparatus for enzymology or microbiology
    • C12M1/34Measuring or testing with condition measuring or sensing means, e.g. colony counters

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  • the present invention relates to a system and method for predicting the proportion of target cells in cultured cells containing two or more types of cells.
  • Non-Patent Document 1 a cell structure formed using a scaffold and a sheet-like cell culture in which cells are formed into a sheet have been developed.
  • Skeletal myoblasts used for such cell transplantation are usually obtained by separating CD56-positive cells such as skeletal myoblasts and muscle satellite cells from the skeletal muscle tissue to be transplanted.
  • CD56-positive cells such as skeletal myoblasts and muscle satellite cells
  • various attempts have been made to increase the ratio of CD56-positive cells in the collected tissue (Patent Document 1).
  • the separated cells may still contain unintended cells, and in the step of culturing the separated cells, the unintended cells are also grown, and the ratio of the intended cells after culturing is the desired value. There was a problem that it may be lower than
  • the present inventors obtained image data at regular time intervals for cultured cells containing two or more types of cells, and found that the growth tendency of each cell As a result of further research based on this knowledge, the present invention was completed.
  • the present invention relates to the following.
  • a system for predicting the ratio of target cells in cultured cells containing two or more types of cells comprising an analysis unit that predicts the ratio of target cells from information on the ratio and doubling time of target cells at a certain point in time.
  • the system according to [1] further comprising a measuring unit that acquires two or more types of cell information in cultured cells.
  • the analysis unit is configured to calculate the ratio of the target cells in the cultured cells at the time of measurement from the information acquired by the measurement unit.
  • the analysis unit is configured to acquire information about the doubling time by estimating the types of cells contained in the cultured cells from the information acquired by the measurement unit, [2] or [3] ]. [5] Any one of [2] to [4], wherein the analysis unit is configured to calculate information on the doubling time from information obtained by the measurement unit at two or more different time points. system. [6] The system according to [5], wherein the analysis unit is configured to calculate trends in doubling time variation from information obtained by the measurement unit at three or more different points in time.
  • the analysis unit Adding to the measurement part by checking if there is a value for the percentage of cells of interest in the system and if there is enough information about the doubling time in the system to predict the percentage of the cells of interest determine if a measurement needs to be made, If it is determined that it is necessary to perform an additional measurement, calculating the ratio and / or information on the doubling time of the target cells from the information obtained by causing the measurement unit to perform the additional measurement, The system according to any one of [2] to [6], wherein the ratio of the target cells is predicted from the information on the calculated ratio of the target cells and/or the doubling time.
  • the analysis unit If the information on the doubling time of one type of cells among the two or more types of cells is unknown, it is unknown based on the information on the doubling time of the entire cultured cells and the information on the known doubling time of the cells. back-calculating information about the doubling time of the cell type, The system according to [1] to [7], which predicts the percentage of cells of interest based on the information on the back-calculated doubling time.
  • [9] further includes an input unit for inputting purpose information, and the analysis unit is configured to calculate a prediction result for the target cell corresponding to the purpose information input to the input unit, [1] to [ 8].
  • a program for predicting the ratio of target cells in cultured cells containing two or more types of cells The above program causing the processor to execute a process of predicting the ratio of the target cells from the information on the ratio of the target cells and the doubling time.
  • a method for predicting the proportion of target cells in cultured cells containing two or more types of cells measuring the percentage of cells of interest in the cultured cells; further measuring the percentage of the two or more cell types in the cultured cells at two or more different time points and calculating the doubling time of the two or more cell types; and Predicting the percentage of cells of interest from the doubling time.
  • the present invention it is possible to easily predict the ratio of target cells on a desired scheduled collection date in cell culture.
  • the present invention it is possible to easily predict the scheduled date when the ratio of the target cells reaches the desired value in cell culture, and to easily set the optimal scheduled cell recovery date.
  • the cell number of the cells of interest at the desired harvest date in cell culture can also be predicted.
  • the proportion of cells can be easily predicted, cells can be efficiently cultured, and a cell culture containing target cells at a desired proportion can be easily obtained.
  • cells can be cultured efficiently, labor and costs required for cell culture can be reduced.
  • FIG. 1 shows a flow diagram in one embodiment of predicting the proportion of target cells using the system of the present invention.
  • FIG. 2 is a schematic diagram showing a configuration example of the system.
  • FIG. 3 is a block diagram showing a configuration example of a terminal.
  • the present invention includes an analysis unit that predicts the ratio of target cells from information on the ratio and doubling time of target cells at a certain point in time. and a program for causing the system to execute each process.
  • cultured cells refer to cells that are in cell culture.
  • the cultured cells of the present invention include cells of interest and one or more types of non-target cells.
  • the cells contained in the cultured cells are not particularly limited, and examples thereof include adherent cells (adherent cells).
  • Adherent cells include, for example, adherent somatic cells and the like.
  • somatic cells include myoblasts (e.g., skeletal myoblasts), muscle satellite cells, mesenchymal stem cells (e.g., bone marrow, adipose tissue, peripheral blood, skin, hair root, muscle tissue, intrauterine tissue stem cells such as cardiomyocytes, fibroblasts, cardiac stem cells, embryonic stem cells, pluripotent stem cells such as iPS (induced pluripotent stem) cells, synovial cells, chondrocytes , Epithelial cells (e.g., oral mucosal epithelial cells, retinal pigment epithelial cells, nasal mucosal epithelial cells, etc.), endothelial cells (e.g., vascular endothelial cells, etc.), hepatocytes (e.g., hepatocytes, etc.), pancreatic cells (e.g., pancreatic islet cells, etc.), renal cells, adrenal cells, periodontal ligament cells, gingival cells, perioste
  • Somatic cells may be those differentiated from iPS cells (iPS cell-derived cells), iPS cell-derived cardiomyocytes, fibroblasts, myoblasts, epithelial cells, endothelial cells, hepatocytes, pancreatic cells, kidney cells, adrenal cells, periodontal ligament cells, gingival cells, periosteal cells, skin cells, synovial cells, chondrocytes, and the like.
  • the cells of interest contained in the cultured cells are myoblasts. More preferably, the target cells contained in the cultured cells are myoblasts, and the non-target cells are fibroblasts.
  • the system of the present invention can be established with at least an analysis section, but can also include a measurement section.
  • the "measurement part” refers to a part that acquires two or more types of cell information in cultured cells.
  • cell information refers to information used for calculating the ratio and doubling time of each cell in cultured cells containing two or more types of cells. Such information includes, but is not limited to, information regarding cell size, color, shape, number, and the like.
  • a method for acquiring cell information any known method can be used. Typically, image data of cultured cells can be acquired using an optical device capable of acquiring image data. mentioned.
  • any known cell counting technique may be used to obtain information regarding the number of each cell.
  • the "analyzer” refers to a part that predicts the ratio of the target cells from the information obtained by the measurement unit and the information on the doubling time.
  • the percentage of cells of interest can also be predicted by using a known percentage of cells of interest at a given point in time instead of given information.
  • the analysis unit may have, but is not limited to, the following functions: (i) calculating the percentage of cells of interest from the information obtained by the measurement unit; (ii) two or more different time points. Calculate the doubling time from the information acquired by the measurement unit in; (iii) Predict the percentage of the target cells; (iv) Determine the necessity of additional measurement by the measurement unit (v) Acquired by the measurement unit The type of cell is estimated from the information obtained.
  • the analysis unit can include a processor or the like for analyzing the information acquired by the measurement unit or the information input.
  • the information acquired by the measurement unit includes image data of cultured cells, and the analysis unit subjects the acquired image data to image processing or the like to determine the size, color, shape, and number of cells contained in the image. and other information can be extracted.
  • the analysis unit can distinguish between two or more types of cells based on information such as cell size, color, and shape, and can calculate how many types of cells are contained in the cultured cells. Also, the analysis unit can calculate the ratio for each of the two or more types of cells. For example, in cultured cells containing three or more types of cells, the analysis unit determines that two or more types of unintended cells cannot be distinguished from information such as size, color, and shape. can be analyzed as one type of cell.
  • the analysis unit can analyze the cultured cells by interpreting them as including A cells and (B cells+C cells).
  • "predicting the ratio of target cells” means predicting the ratio of target cells in cultured cells at a specific time point after culturing for a certain period of time, and changing the ratio over time. including predicting
  • the analysis unit also provides a list listing the expected percentage of cells of interest for each day of culture based on the expected change in the percentage over time, or a list listing time on the horizontal axis and the expected percentage of the cells of interest on the vertical axis. You can create graphs with axes.
  • the analysis unit can predict the ratio of the target cells.
  • the analysis unit calculates, from the information acquired by the measurement unit at least one time point, the ratio of the target cells at the time when the information was acquired. At this time, in order to calculate the ratio of the target cells, it is necessary to acquire cell information of at least two types of cells, for example, the number of cells. That is, in a cultured cell containing two or more types of cells, at least two types of cell information among the cell information of the target cell, the cell information of the non-target cell, and the cell information of the entire cultured cell must be obtained.
  • the analysis unit creates a model representing how the cells grow, such as a cell growth curve, from information on the doubling time, starting from the ratio of the target cells at the specific time point. of cells can be predicted.
  • the analysis unit also calculates the number of target cells in the entire cultured cells at the time when the information was obtained from the information obtained by the measurement unit at least one time point. At this time, information may be obtained by dividing the entire cultured cells by a plurality of measurement units, and the total number of cells of interest in each piece of information may be calculated. may be calculated from the number of target cells in the obtained information and the ratio of the total number of cultured cells. Starting from the number of target cells at the specific time point, the analysis unit creates a model representing how the cells proliferate, such as a cell growth curve, from information on the doubling time. The number of cells can be predicted.
  • information on doubling time refers to information on the culture time required for each cell constituting cultured cells containing two or more types of cells to double in number.
  • the doubling time of a cell is generally determined by the type of cell, but may vary depending on the type of cell depending on the culture environment and the like, and may change during the culture. Information about doubling times may include trends in doubling times and doubling time variations.
  • the analysis unit can calculate information about the doubling time from the information obtained by the measurement unit at two or more different points in time. Since the information acquired by the measurement unit includes information on the number of cells of each type and/or the total number of cultured cells at the time of acquisition of the information, the analysis unit can , it is possible to calculate how much each type of cell and/or total cell culture has increased between two different time points. From such calculations, information can be calculated about the doubling time of each type of cell and/or the total cell culture.
  • the information on the doubling time calculated by the analysis unit can include information on the doubling time of the target cells, information on the doubling time of the non-target cells, and information on the doubling time of the entire cultured cells.
  • the analysis unit can determine whether it is necessary to have the measurement unit perform additional measurements.
  • the analyzer may be configured to check if there is a percentage of cells of interest value in the system to determine if additional measurements need to be taken. Confirming whether there is a value for the ratio of the target cells means confirming that there is cell information for calculating the ratio of the target cells, and determining the ratio of the target cells from the information acquired by the measurement unit. It may include calculating and confirming the calculated value.
  • the analyzer may be configured to determine whether there is sufficient doubling time information in the system to predict the percentage of cells of interest.
  • Confirming information about sufficient doubling time means confirming that there is cell information at two or more different time points for calculating information about sufficient doubling time, and obtained by the measurement unit at two or more different time points. From the information obtained, calculating information about sufficient doubling time and confirming the information about calculated doubling time.
  • the determination of additional measurements may be made as described below. If the percentage of cells of interest at a point in time and information about the doubling time sufficient to predict the percentage of cells of interest is known, the analysis unit predicts the percentage of cells of interest value and the percentage of cells of interest. After confirming that there is sufficient information on doubling time to allow for further measurements, it can be determined that no additional measurements are required, and then the process proceeds to predict the percentage of cells of interest. If the percentage of cells of interest at a point in time is not known, but sufficient information about the doubling time is known to predict the percentage of cells of interest, the analyzer assumes that there is a value for the percentage of cells of interest. It cannot be confirmed and it can be determined that additional measurements are required.
  • the analysis unit can calculate the ratio of the target cells at the time of measurement from the information acquired by the measurement unit. value and sufficient information on doubling time to predict the percentage of cells of interest, it can be determined that no further additional measurements are required, and then proceed to processing to predict the percentage of cells of interest. and proceed. If the percentage of cells of interest at a certain point in time is unknown and the doubling time is also unknown or there is not sufficient information about the doubling time, the analysis unit determines the percentage of cells of interest at the time of measurement and the number of cells of interest. It can continue to determine that additional measurements are needed until both of the doubling time information has been calculated to predict a rate.
  • the analysis unit determines the unknown doubling time for the one type of cell from the known doubling time for the entire cultured cells.
  • the doubling time can be calculated backwards. That is, if the cultured cells contain A cells and B cells, and the doubling time of the A cells and the doubling time of the entire cultured cells (A cells + B cells) are known, the doubling time of the B cells can be calculated from these doubling times. Time can be calculated backwards.
  • the cultured cells include A cells, B cells and C cells and the target cells are A cells
  • the doubling time of the target cells A cells
  • non-target cells B cells + C cells
  • any two doubling times for the entire culture A cells + B cells + C cells
  • one remaining doubling time can be calculated back from these doubling times. Therefore, in a cultured cell containing two or more types of cells, in order to predict the ratio of the target cells, information on the doubling time of the target cells, information on the doubling time of the non-target cells, and the doubling time of the entire cultured cells At least two types of information about must be known or calculated.
  • the analysis unit calculates the doubling time of each cell at the time when the information was acquired by the measurement unit. From the percentage and information about these doubling times, the percentage of cells of interest can be predicted.
  • the analysis unit can obtain the information obtained by the measurement unit at two or more different time points. Information on the doubling time of the entire cultured cells is calculated from the information, and information on the doubling time of the cells not of interest can be back-calculated. Therefore, by using information about the doubling time of known cells of interest and information about the back-calculated doubling time of non-target cells, the percentage of cells of interest can be predicted. Even if three or more types of cells are included in the cultured cells, and information on the doubling time is known only for the target cells, the analysis unit can identify two types of cells for which the information on the doubling time is unknown. By treating the above unintended cells as one type of cells, the proportion of the intended cells can be predicted in the same manner as when the cultured cells contain two types of cells.
  • the analysis unit determines additional measurement so that the measurement unit acquires cell information at three or more different time points, and further calculates at each consecutive two time points. By comparing the doubling times, it is possible to calculate the trend of variation in doubling times.
  • the analysis unit predicts the ratio of the target cells, taking into consideration the calculated fluctuation trend of the doubling time.
  • the analysis unit determines each cell from the information obtained by the measurement unit at two or more different time points. By calculating information on the doubling time of the cells, the proportion of the cells of interest can be predicted. Even if the cultured cells contain three or more types of cells, and the information on the doubling time for all of the cells is unknown, the analysis unit considers two or more types of unintended cells as one type of cells. , the ratio of target cells can be predicted in the same manner as when cultured cells contain two types of cells.
  • the analysis unit determines additional measurement so that the measurement unit acquires cell information at three or more different time points, and further calculates at each consecutive two time points. By comparing the doubling times, it is possible to calculate the trend of variation in doubling times.
  • the analysis unit predicts the ratio of the target cells, taking into consideration the calculated fluctuation trend of the doubling time.
  • the analysis unit can also infer the type of cell from the information acquired by the measurement unit, such as image data.
  • the analysis unit analyzes the image data acquired by the measurement unit by image processing, etc., and compares the data with a previously prepared list listing the types of cells and their characteristics such as size, color, and shape. By doing so, the type of cell can be inferred. Such inference can be made more accurately by using a trained model.
  • the analysis unit also extracts information about the estimated doubling time of the cell by comparing the estimated cell type with a previously prepared list listing information about the cell types and cell doubling times. , such information can be used to predict the percentage of cells of interest.
  • the system of the present invention may further include an input unit for inputting purpose information.
  • the “target information” includes the desired ratio of target cells in the cultured cells, the expected collection date of the cultured cells, and the like.
  • the analysis unit can calculate the prediction result for the target cells corresponding to the target information based on the predicted ratio of the target cells. For example, when a desired percentage of target cells is input as the objective information, the expected recovery date at which the desired percentage of the objective cells will be obtained is calculated as the prediction result for the objective cells.
  • the scheduled collection date is input as the purpose information, the ratio of the target cells on the input scheduled collection date is calculated.
  • the input unit may also be capable of inputting information about known doubling times to the analysis unit.
  • the input part is a part where the operator of the system or an external system inputs measurement parameters and programs, and various input interfaces, for example, means for receiving signals such as electricity and light from other systems , connectors, wireless communication devices, etc.), buttons, keyboards, touch panels, and the like.
  • the system of the present invention may further include a storage unit, an output unit, and the like.
  • the storage unit is a part that stores information acquired by the measurement unit, information analyzed by the analysis unit, programs for operating the system, etc.
  • Various electronic storage media such as semiconductor memory, hard disk, cloud server etc.
  • the output section is a section that emits a predetermined signal based on the information acquired by the measurement section, the information on the doubling time, the information analyzed by the analysis section, etc., and various output interfaces, such as electrical and optical signals output means (electric wire, optical fiber, connector, wireless communication device, etc.), display, touch panel, printer, patrol lamp, buzzer, voice synthesizer, etc. can be included.
  • An input unit and an output unit may be integrated, and a general-purpose computer or smart phone may be used.
  • the system of the present invention may include software for general-purpose computers and applications for smartphones, and information acquired by the measurement unit, information analyzed by the analysis unit, etc. are sent to the user by email or application push notification. It can also be configured to send to
  • Analysis by the analysis unit can be performed by analyzing the ratio and doubling time of the target cells at a certain point in time, such as the information obtained by the measurement unit.
  • analysis can also be performed using a trained model.
  • a trained model for example, prepares cultured cells containing two or more types of cells as a sample in advance, and after culturing the cells for a certain period of time, the ratio of each cell (correct data) and the cultured cells at a certain time
  • the cell information of each cell in , and the information on the doubling time for each cell can be generated by machine learning over a plurality of pieces of information.
  • Correct data includes, for example, identification of cell types from image data, doubling times of such cells and trends in their fluctuations, information on doubling times of cells with large fluctuations in doubling times, etc.
  • Information that cannot be obtained can be included, and various patterns for predicting the ratio of target cells can be recognized from the information acquired by the measurement unit.
  • a person skilled in the art can combine various learning data, learning methods, and learning models.
  • the ratio of the target cells in the cultured cells on the scheduled recovery date and the calculation of the expected date when the target cells reach the desired ratio are performed by the operator handling the system of the present invention from the target cell ratio predicted by the analysis unit. Alternatively, the determination by the operator may be used as learning data for updating the trained model.
  • the ratio of the target cells in the cultured cells may be measured on the scheduled collection date, and the measurement results may be used as learning data.
  • the present invention provides a step of measuring proportions of two or more types of cells in cultured cells, further measuring proportions of two or more types of cells in cultured cells at two or more different time points, In a cultured cell containing two or more types of cells, the step of calculating the doubling time of the cells, and predicting the ratio of the target cells from the measured ratio of the two or more types of cells and the calculated doubling time, It relates to a method for predicting the proportion of cells of interest.
  • the method of the present invention may predict the proportion of target cells using the system of the present invention described above.
  • the system in the present invention can operate according to the flow diagram shown in FIG. FIG. 1 shows a flow diagram in one embodiment of predicting the proportion of target cells using the system of the present invention.
  • (i) When information about the percentage and doubling time of the cells of interest at a certain point in time has been entered into the system
  • (F1) the analysis unit Make sure there is a value for the percentage of cells at a given time point entered.
  • F2 the analysis unit confirms that there is information on the input doubling time.
  • the analysis unit determines that additional measurement is not necessary due to the existence of the input value of the percentage of the target cells and the information on the doubling time at a certain time point, and (F5) determines the percentage of the target cells. Predict and (F6) output the predicted proportion of target cells to the output unit. (F7) Next, the worker inputs purpose information into the input section. (F8) The analysis unit calculates a prediction result corresponding to the input objective information, (F9) outputs the prediction result to the output unit, and terminates the program.
  • (ii) information about doubling time is entered into the system, but the percentage of cells of interest at a given time point is not entered.
  • F1 The analyzer verifies that there is no cell fraction value at a point in time.
  • F2 the analysis unit checks the input information on the doubling time.
  • F3 The analysis unit determines that additional measurement is necessary because there is no percentage of cells at a certain time point, and (F4) acquires cell information by the measurement unit.
  • the analysis unit After obtaining the cell information, the analysis unit calculates the target cell ratio at the time of measurement from the cell information, and confirms that the calculated ratio is the value of the cell ratio at a certain point in time.
  • F2 the analysis unit confirms that there is information on the input doubling time.
  • the analysis unit determines that additional measurement is unnecessary because there is information about the calculated ratio of the target cells and the doubling time at the time of measurement, and (F5) the ratio of the target cells is determined. Predict and (F6) output the predicted proportion of target cells to the output unit. (F7) Next, the worker inputs purpose information into the input section. (F8) The analysis unit calculates a prediction result corresponding to the input objective information, (F9) outputs the prediction result to the output unit, and terminates the program.
  • the analysis unit determines that additional measurement is necessary due to lack of information on sufficient doubling time, and (F4) the measurement unit acquires cell information.
  • the system repeats the processing of (F1) to (F4) until the analysis unit calculates sufficient information regarding the doubling time.
  • the analysis unit determines that additional measurement is unnecessary because of the calculated ratio of the target cells at the time of measurement and the information on the doubling time.
  • (F5) predict the proportion of the target cells, and (F6) output the predicted proportion of the target cells to the output section.
  • the worker inputs purpose information into the input section.
  • the analysis unit calculates a prediction result corresponding to the input objective information, (F9) outputs the prediction result to the output unit, and terminates the program.
  • the analysis unit confirms that there is not enough information about the doubling time and that there is not enough cell information to calculate the information about the doubling information.
  • the analysis unit determines that additional measurement is necessary due to lack of information on sufficient doubling time, and (F4) the measurement unit acquires cell information. The system repeats the processing of (F1) to (F4) until the analysis unit calculates sufficient information regarding the doubling time. When sufficient information on the doubling time is calculated, (F3) the analysis unit determines that additional measurement is unnecessary because of the calculated ratio of the target cells at the time of measurement and the information on the doubling time.
  • (F5) predict the proportion of the target cells, and (F6) output the predicted proportion of the target cells to the output section.
  • the analysis unit calculates a prediction result corresponding to the input objective information, (F9) outputs the prediction result to the output unit, and terminates the program.
  • the calculation of the prediction result corresponding to the target information may be performed by the operator based on the ratio of the target cells output to the output unit.
  • the input of the target information may be input before the measurement unit acquires the cell information.
  • FIG. 2 is a schematic diagram showing a configuration example of the system 100.
  • FIG. A system 100 in the present invention includes a terminal 1 and a camera 2.
  • the terminal 1 is an information processing device capable of various information processing, such as a personal computer.
  • the terminal 1 functions as the analysis unit, the input unit, and the output unit described above by executing programs installed in the terminal 1 .
  • the camera 2 is a camera that images cultured cells, and for example, as shown in FIG.
  • the camera 2 functions as the measuring section described above.
  • FIG. 3 is a block diagram showing a configuration example of the terminal 1.
  • the terminal 1 includes a control section 11 , a main storage section 12 , a communication section 13 , a display section 14 , an input section 15 and an auxiliary storage section 16 .
  • the control unit 11 has an arithmetic processing unit such as one or more CPU (Central Processing Unit), MPU (Micro-Processing Unit), GPU (Graphics Processing Unit), etc., and executes the program P stored in the auxiliary storage unit 16.
  • CPU Central Processing Unit
  • MPU Micro-Processing Unit
  • GPU Graphics Processing Unit
  • the main storage unit 12 is a temporary storage area such as SRAM (Static Random Access Memory) or DRAM (Dynamic Random Access Memory), and temporarily stores data necessary for the control unit 11 to perform 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 display unit 14 is a display screen such as a liquid crystal display, and displays images.
  • the input unit 15 is an operation interface such as a keyboard and a mouse, and receives operation inputs from the operator.
  • the auxiliary storage unit 16 is a non-volatile storage area such as a hard disk, and stores programs P (program products) necessary for the control unit 11 to execute processing and other data.
  • the terminal 1 may be provided with a reading unit for reading a portable storage medium 1a such as a CD-ROM, and read and execute the program P from the portable storage medium 1a.
  • a reading unit for reading a portable storage medium 1a such as a CD-ROM, and read and execute the program P from the portable storage medium 1a.
  • the present invention it is possible to easily predict the ratio of cells on a desired scheduled collection date. Moreover, according to the present invention, it is possible to easily predict the scheduled date when the ratio of the target cells reaches the desired value, and to easily set the optimal scheduled collection date of the cells. Furthermore, according to the present invention, the cell number of the cells of interest at the desired harvest date in cell culture can also be predicted. According to the present invention, since the proportion of cells can be easily predicted, cells can be efficiently cultured, and a cell culture containing target cells at a desired proportion can be easily obtained. In addition, since cells can be cultured efficiently, labor and costs required for cell culture can be reduced.

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WO2018012601A1 (ja) * 2016-07-14 2018-01-18 大日本印刷株式会社 画像解析システム、培養管理システム、画像解析方法、培養管理方法、細胞群製造方法及びプログラム
WO2020004575A1 (ja) * 2018-06-29 2020-01-02 株式会社Preferred Networks 学習方法、混合率予測方法及び学習装置

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* Cited by examiner, † Cited by third party
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WO2018012601A1 (ja) * 2016-07-14 2018-01-18 大日本印刷株式会社 画像解析システム、培養管理システム、画像解析方法、培養管理方法、細胞群製造方法及びプログラム
WO2020004575A1 (ja) * 2018-06-29 2020-01-02 株式会社Preferred Networks 学習方法、混合率予測方法及び学習装置

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