摘要:
A sample liquid in which a concentration of a specific component is known is prepared. The sample liquid and a diluent are mixed while a flow rate ratio of the sample liquid to the diluent is being continuously changed. First time-series data indicating a change in a mixing ratio and second time-series data indicating a change in spectral data are acquired for a mixed liquid obtained by the mixture while the sample liquid and the diluent are being mixed. Third time-series data indicating a change in the concentration of the specific component included in the mixed liquid is derived on the basis of the first time-series data. Learning data in which the spectral data and the concentration of the specific component are associated with each other is acquired from the second time-series data and the third time-series data.
摘要:
A program for operating a cell culture support apparatus causes a computer to function as a first acquisition unit, a second acquisition unit, a first derivation unit, and an output control unit. The first acquisition unit acquires a learned model, derived by performing machine learning on the basis of a set of time-series data for learning indicating a time transition of an amount of each of plural types of components constituting a medium used for cell culture and good/bad data indicating good or bad of a result of the cell culture in correspondence with the time-series data for learning, indicating a guideline of the amount. The second acquisition unit acquires time-series data for analysis indicating the time transition of the amount. The first derivation unit derives quantitative guideline information of the amount for obtaining a good result in the cell culture, with respect to at least one of the plural types of components, from the learned model acquired in the first acquisition unit and input data of at least a part of the time-series data for analysis acquired in the second acquisition unit. The output control unit performs a control for outputting the guideline information.
摘要:
An information processing apparatus acquires input information including at least one of a process condition, a culture medium component, or the number and diameters of cells in cell culture, and estimates a quality of an antibody produced from the cells and a quality of the cells after elapse of a predetermined period from a time point at which the input information is acquired, on the basis of the input information and a trained model which is trained in advance using the input information, the quality of the antibody, and the quality of the cells.
摘要:
An information processing apparatus estimates a quality of an antibody produced from cells and a quality of the cells on the basis of a culture state of the cells, searches for the culture state of the cells that improves the estimated quality of the antibody and the estimated quality of the cells, and derives process conditions for cell culture in which a culture state of the cells is the searched culture state.
摘要:
A method for estimating a purified state includes quantifying a component that is included in a treatment liquid obtained by performing a purification treatment on a liquid including a specific protein and impurities other than the protein. The method for estimating a purified state includes acquiring an estimated value of a concentration of the impurities on the basis of spectral data indicating an intensity of electromagnetic waves, which have been emitted to the treatment liquid and have been subjected to an action of the treatment liquid, for each wave number or wavelength. The concentration of the impurities included in the treatment liquid is equal to or less than 20 mg/mL, and a weight ratio of the impurities to a mixture including the protein and the impurities is equal to or less than 15%.
摘要:
Spectral data indicating an intensity of electromagnetic waves, which have been emitted to a cell suspension including a cell and a culture solution and have been subjected to an action of the cell suspension, for each wave number or wavelength is acquired. Preprocessing is performed on the spectral data. A soft sensor, which receives processed data obtained by the preprocessing as an input and outputs state data indicating a state of the cell or the culture solution, is constructed by machine learning using a plurality of combinations of the processed data and the state data as training data. The processed data for the spectral data acquired for a cell suspension including a cell which is being cultured is input to the soft sensor, and the state data output from the soft sensor is acquired.
摘要:
A pressure sensitive adhesive sheet includes a transparent sheet base material, a first pressure sensitive adhesive layer, and a second pressure sensitive adhesive layer, and a pressure sensitive adhesive strength by a pressure of 1 N/cm2 or less is 0 N/25 mm. The first pressure sensitive adhesive layer includes a first silicone-based pressure sensitive adhesive and the second pressure sensitive adhesive layer has a second silicone-based pressure sensitive adhesive and a plurality of protrusions formed of a plurality of fine particles. A first sheet surface is a surface to adhere to an adherend. An average particle diameter of the fine particles is 2 μm or more and 15 μm or less and a coverage ratio of the first sheet surface with the fine particles is 10% or more and 70% or less.
摘要:
There are provided a learning apparatus, an operation method of the learning apparatus, a non-transitory computer readable recording medium storing an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model. In the learning apparatus, a first processor is configured to extract a high-contribution item from the plurality of items of the multi-dimensional physical-property relevance data by using the temporary machine learning model; and selectively input the multi-dimensional physical-property relevance data of the high-contribution item to the machine learning model, perform learning, and output the machine learning model as a learned model to be provided for actual operation.
摘要:
In a pressure-sensitive adhesive microcapsule, a radiation-curable gluing agent is encapsulated by a wall film, and the average particle diameter is smaller than 500 μm. A pressure-sensitive adhesive microcapsule-containing liquid includes the pressure-sensitive adhesive microcapsule and a binder. A gluing sheet includes a layer including the pressure-sensitive adhesive microcapsule on a support. A method for manufacturing the gluing sheet includes forming a layer including a pressure-sensitive adhesive microcapsule on a support by applying the pressure-sensitive adhesive microcapsule-containing liquid onto the support and then carrying out radiation irradiation. A method for manufacturing a laminate includes gluing the gluing sheet and an adherend by bringing a surface of the layer including the pressure-sensitive adhesive microcapsule in the gluing sheet and the adherend into contact with each other and compressing them together.