公开(公告)号：US20240136010A1

公开(公告)日：2024-04-25

申请号：US18397262

申请日：2023-12-27

Applicant: FUJIFILM Corporation

Inventor： Takahiro TERAO ,  Masaya NAGASE

IPC: G16B5/00 ,  G16B40/00

CPC classification number: G16B5/00 ,  G16B40/00

Abstract: Provided are a method for creating a cell mathematical model capable of evaluating characteristics of cells from experimental data, a program, and a creation apparatus. Also provided are a method for determining the created cell mathematical model, a program, and a determination apparatus. The method for creating a mathematical model receives culture data of the cells, extracts feature values of cell activity from the culture data, creates a cell mathematical model from the feature values, and outputs the cell mathematical model. The method for determining the created cell mathematical model determines that estimated culture data calculated using the cell mathematical model reflects the culture data.

公开(公告)号：US20230222183A1

公开(公告)日：2023-07-13

申请号：US18183832

申请日：2023-03-14

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE

IPC: G06F18/2431 ,  G06F18/2415

CPC classification number: G06F18/2431 ,  G06F18/2415

Abstract: The present invention is to provide a multi-class classification method, a multi-class classification program, and a multi-class classification device which can robustly and highly accurately classify a sample having a plurality of feature amounts into any of a plurality of classes based on a value of a part of the selected feature amount. In addition, the present invention is to provide a feature amount selection method, a feature amount selection program, a feature amount selection device, and a feature amount set used for such multi-class classification. The present invention handles a multi-class classification problem involving feature amount selection. The feature amount selection is a method of literally selecting in advance a feature amount needed for each subsequent processing (particularly, the multi-class classification in the present invention) from among a large number of feature amounts included in a sample. The multi-class classification is a discrimination problem that decides which of a plurality of classes a given unknown sample belongs to.

公开(公告)号：US20240428887A1

公开(公告)日：2024-12-26

申请号：US18827102

申请日：2024-09-06

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE

IPC: G16B25/20

Abstract: A method of selecting one or more feature amounts that are used to predict or discriminate a characteristic of a sample and designing one or more measurers that measure the feature amount, includes: attempting to design the measurer for a feature amount candidate; evaluating interaction between the designed measurers; associating, as a combination pair of the measurers that are unable to be set at the same time, a combination of the measurers whose evaluated interaction is problematic to construct a graph-like data structure; selecting a portion corresponding to one or more independent sets from the graph-like data structure to extract one or more feature amount set candidates that do not include the combination pair whose interaction is problematic; and selecting, as a feature amount set to be measured, the feature amount set candidate or a subset of the feature amount set candidate.

公开(公告)号：US20230220375A1

公开(公告)日：2023-07-13

申请号：US18174225

申请日：2023-02-24

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE ,  Masayo ASANUMA ,  Takayuki TSUJIMOTO ,  Kengo GOTO

IPC: C12N15/10 ,  B01L3/00

CPC classification number: C12N15/1048 ,  C12N15/1072 ,  B01L3/5085

Abstract: Provided is a design method for dividing primer pairs into reaction containers, the design method showing an optimum division example. The design method for dividing primer pairs into reaction containers has a design step of, for a plurality of target nucleic acids, designing a plurality of primer pairs each composed of two types of primers, an evaluation step of evaluating non-specific amplification inducibility between the primer pairs, and an assignment step of performing an assignment to the reaction containers, based on the non-specific amplification inducibility, such that primer pairs having the non-specific amplification inducibility are not present in the same reaction container. The assignment step has a graph generation step of generating a graph having the primer pairs as vertices and non-specific amplification inducibility as an edge or a data structure equivalent to the graph, a coloring step of applying a solution to a graph coloring problem or the like to the graph to perform coloring such that the vertices adjacent to each other have different colors, and an association step of associating the plurality of colors with the reaction containers to associate the primer pair with the reaction containers of the corresponding colors.

公开(公告)号：US20230131555A1

公开(公告)日：2023-04-27

申请号：US18146245

申请日：2022-12-23

Applicant: FUJIFILM Corporation

Inventor： Tsutomu INOUE ,  Masaya NAGASE ,  Yuya WATANABE ,  Kosuke KURODA

IPC: G06T7/00 ,  G06T5/50 ,  G06V10/56 ,  G06F3/14

Abstract: Provided is an information processing device that performs display control to display a vessel image obtained by imaging a vessel in which a cell is seeded on a display and includes at least one processor. The processor acquires two or more vessel images obtained by imaging the same vessel at different dates and times and displays the acquired two or more vessel images on the display such that different imaging dates and times are distinguishable.

公开(公告)号：US20220391718A1

公开(公告)日：2022-12-08

申请号：US17876324

申请日：2022-07-28

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE

IPC: G06N5/02 ,  G16B40/20 ,  G16B25/00

Abstract: The present invention is to provide a multi-class classification method, a multi-class classification program, and a multi-class classification device which select a feature amount and classify a sample into any of a plurality of classes based on a value of the selected feature amount, and a feature amount selection method, a feature amount selection device, and a feature amount set which are used for such multi-class classification. The present invention handles a multi-class classification problem involving feature amount selection. The feature amount selection is a method of literally selecting in advance a feature amount needed for each subsequent processing (particularly, the multi-class classification in the present invention) from among a large number of feature amounts included in a sample. The multi-class classification is a discrimination problem that decides which of a plurality of classes a given unknown sample belongs to.

公开(公告)号：US20230127415A1

公开(公告)日：2023-04-27

申请号：US18146071

申请日：2022-12-23

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE ,  Tsutomu INOUE

IPC: G06V20/69 ,  G06V10/774

Abstract: An information processing device detects a cell candidate region for determining a unity of a cell from a vessel image obtained by imaging a vessel in which the cell is seeded and includes at least one processor. The processor performs an acquisition process of acquiring the vessel image, performs a detection process of detecting a cell region including the cell and a cell-like region including an object similar to the cell as the cell candidate regions from the acquired vessel image, and an output process of outputting information indicating the detected cell candidate regions.

公开(公告)号：US20230118920A1

公开(公告)日：2023-04-20

申请号：US18066585

申请日：2022-12-15

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE

IPC: G16B50/10

Abstract: There is provided an operation method for an information processing apparatus, the operation method being performed by a processor, the operation method including: an acquisition process for acquiring pieces of annotation information added to each of a plurality of biomarkers related to biological samples; a deriving process for deriving an evaluation value of each of the plurality of biomarkers on the basis of the pieces of annotation information; and a selection process for selecting on the basis of the evaluation value, measurement target biomarkers from among the plurality of biomarkers.

公开(公告)号：US20180087112A1

公开(公告)日：2018-03-29

申请号：US15712785

申请日：2017-09-22

Applicant: FUJIFILM Corporation

Inventor： Aya OUCHI ,  Takayuki TSUJIMOTO ,  Masaya NAGASE ,  Yasuyuki ISHII

IPC: C12Q1/6883 ,  C12N15/10

CPC classification number: C12Q1/6883 ,  C12N15/09 ,  C12N15/1089 ,  C12Q1/6811 ,  C12Q1/6876 ,  C12Q2600/156 ,  C12Q2600/16 ,  C12Q2535/122 ,  C12Q2537/165

Abstract: Provided is a method for determining a genetic condition of a fetus, the method including: an objective region selection step of selecting an objective region for determining the genetic condition, from regions on a human genome; a step of isolating a single cell from a maternal blood sample; a step of extracting genomic DNA from the single cell; a step of performing PCR amplification on the objective region using a primer set designed so as to perform the PCR amplification on the objective region using genomic DNA extracted from the single cell as a template; and a DNA sequencing step of decoding a DNA base sequence of a PCR amplification product of the objective region, in which the primer set designed so as to perform the PCR amplification on the objective region is designed through a method for designing a primer set used for the polymerase chain reaction, the method for designing a primer set including a first stage selection step based on a local alignment score and a second stage selection step based on a global alignment score.

公开(公告)号：US20240242777A1

公开(公告)日：2024-07-18

申请号：US18620658

申请日：2024-03-28

Applicant: FUJIFILM Corporation

Inventor： Masaya NAGASE

IPC: G16B25/20 ,  G16B40/00

CPC classification number: G16B25/20 ,  G16B40/00

Abstract: A measurable suitable feature amount selection method includes: a feature amount candidate extraction step of extracting a feature amount candidate from data set; a feature amount selection candidate extraction step of extracting a feature amount selection candidate; a measurement element design step of extracting a feature amount, for which the design of a measurement element has succeeded, as a measurable suitable feature amount; and a measurement element design result notification step of feeding back a result of whether the design of the measurement element has succeeded or failed in the measurement element design step to at least one of the feature amount candidates, the feature amount selection candidate extraction step, or the measurement element design step. A measurable suitable feature amount, for which the measurement element is capable of being designed and which predicts or discriminates features of a sample, is selected from the feature amount candidates.