-
公开(公告)号：US20210285879A1
公开(公告)日：2021-09-16
申请号：US17333926
申请日：2021-05-28
发明人： Yasunobu Kato , Yoshitsugu Sakai
IPC分类号： G01N21/64
摘要： A fluorescence intensity calculating apparatus, includes a measuring section configured to receive fluorescences generated from plural fluorescent dyes excited by radiating a light to a microparticle multiply-labeled with the plural fluorescent dyes having fluorescence wavelength bands overlapping one another by photodetectors which correspond to different received light wavelength bands, respectively, and whose number is larger than the number of fluorescent dyes, and obtain measured spectra by collecting detected values from the photodetectors, and a calculating section configured to approximate the measured spectra based on a linear sum of single-dyeing spectra obtained from the microparticle individually labeled with the fluorescent dyes, thereby calculating intensities of the fluorescences generated from the fluorescent dyes, respectively.
-
公开(公告)号：US20240288354A1
公开(公告)日：2024-08-29
申请号：US18570354
申请日：2022-01-13
发明人： Shota Yamamoto , Yasunobu Kato , Yudai Yanashita , Kenji Yamane
CPC分类号： G01N15/10 , G01N21/6486 , G01N2015/1028
摘要： An analysis result with high reproducibility can be obtained from multidimensional data by a particle analysis system including: a particle analysis apparatus including a light receiving unit that receives light emitted from a biologically derived particle; and an information processing apparatus including a dimensional compression unit that generates dimensionally compressed data by dimensionally compressing multidimensional data regarding the light output from the light receiving unit, and a learning unit that constructs a learning model by machine learning with a correspondence relationship between the dimensionally compressed data and the multidimensional data as a teacher.
-
3.发明公开公开(公告)号：US20230296492A1
公开(公告)日：2023-09-21
申请号：US18019458
申请日：2021-08-03
发明人： Yudai Yanashita , Yasunobu Kato , Kenji Yamane
IPC分类号： G01N15/14 , G06N3/08 , G06N3/0455
CPC分类号： G01N15/1429 , G01N15/1434 , G06N3/0455 , G06N3/08 , G01N2015/1006 , G01N2015/149
摘要： An information processing apparatus including a dimension compression section that generates dimension-compressed data for input data on the basis of a learning model generated by a neural network in which same data acquired from a biologically derived substance is applied to an input layer and an output layer.
-
公开(公告)号：US11726031B2
公开(公告)日：2023-08-15
申请号：US17897916
申请日：2022-08-29
发明人： Masaya Kakuta , Koji Futamura , Yoshitsugu Sakai , Yasunobu Kato
CPC分类号： G01N21/274 , G01N15/1429 , G01N21/6428 , G01N2015/0065
摘要： A fluorescent spectrum correcting method includes comparing fluorescent spectrum obtained from micro-particles labeled with a plurality of fluorescent pigments with reference spectrum to separating the fluorescent spectrum into fluorescent spectrum for each pigment, and previously measured spectrum data is used as the reference spectrum.
-
公开(公告)号：US20240241030A1
公开(公告)日：2024-07-18
申请号：US18428160
申请日：2024-01-31
发明人： Kenji Yamane , Yasunobu Kato , Hirotaka Yoshida
IPC分类号： G01N15/1429 , G01N15/10 , G01N15/14 , G01N15/149 , G16B40/10 , G16B40/20
CPC分类号： G01N15/1429 , G01N15/1459 , G16B40/10 , G16B40/20 , G01N2015/1006 , G01N2015/1477 , G01N15/149
摘要： Techniques for sorting biological particles are described. The techniques may include applying a data compression process to data indicating light emitted from biological particles and outputting, based on a result of the data compression process, one or more groups of the biological particles to sort into additional groups of the biological particles. The techniques may further include using at least some of the data corresponding to the one or more groups of the biological particles in training at least one statistical model, wherein an output of the at least one statistical model specifies an indication to sort one or more of the biological particles.
-
6.发明公开公开(公告)号：US20230266225A1
公开(公告)日：2023-08-24
申请号：US18014420
申请日：2021-07-14
IPC分类号： G01N15/14
CPC分类号： G01N15/1429 , G01N15/1459 , G01N15/1484 , G01N2015/149 , G01N2015/1006
摘要： There is provided a fine-particle sorting apparatus, including: a determination unit that performs sorting determination of a particle, the determination unit performing the determination using rule data defining, in accordance with a particle population to which a particle that is a sorting-determination target belongs and a particle population to which a different particle within a predetermined range around the particle belongs, a relationship between the particles, particle populations to which the particle that is a sorting-determination target and the different particle within the predetermined range may belong including the following particle populations of (a) a particle population of particles to be sorted, (b) a particle population of particles that are not to be sorted but are ignorable in the determination, and (c) a particle population of particles that are neither the particles to be sorted nor the ignorable particles, the ignorable particles including red blood cells.
-
公开(公告)号：US20220205899A1
公开(公告)日：2022-06-30
申请号：US17613009
申请日：2020-05-27
发明人： Kenji Yamane , Yasunobu Kato , Hirotaka Yoshida
摘要： Techniques for sorting biological particles are described. The techniques may include applying a data compression process to data indicating light emitted from biological particles and outputting, based on a result of the data compression process, one or more groups of the biological particles to sort into additional groups of the biological particles. The techniques may further include using at least some of the data corresponding to the one or more groups of the biological particles in training at least one statistical model, wherein an output of the at least one statistical model specifies an indication to sort one or more of the biological particles.
-
公开(公告)号：US11262305B2
公开(公告)日：2022-03-01
申请号：US17333926
申请日：2021-05-28
发明人： Yasunobu Kato , Yoshitsugu Sakai
IPC分类号： G01N21/64
摘要： A fluorescence intensity calculating apparatus, includes a measuring section configured to receive fluorescences generated from plural fluorescent dyes excited by radiating a light to a microparticle multiply-labeled with the plural fluorescent dyes having fluorescence wavelength bands overlapping one another by photodetectors which correspond to different received light wavelength bands, respectively, and whose number is larger than the number of fluorescent dyes, and obtain measured spectra by collecting detected values from the photodetectors, and a calculating section configured to approximate the measured spectra based on a linear sum of single-dyeing spectra obtained from the microparticle individually labeled with the fluorescent dyes, thereby calculating intensities of the fluorescences generated from the fluorescent dyes, respectively.
-
9.发明申请公开(公告)号：US20210404940A1
公开(公告)日：2021-12-30
申请号：US17468368
申请日：2021-09-07
发明人： Kenji Yamane , Shigeatsu Yoshioka , Yasunobu Kato
摘要： [Object] To provide an information processing apparatus, a particle sorting system, a program, and a particle sorting method that practice a spectral type analysis usable for sorting particles.
[Solving Means] The information processing apparatus according to an aspect of the present technology includes: an analysis unit; a learning unit; and a discrimination unit. The analysis unit calculates fluorophore information indicating respective amounts of luminescence of a plurality of types of fluorophores on the basis of detection data indicating amounts of luminescence of fluorescence at respective wavelength bands, the fluorescence having been emitted from a particle irradiated with excitation light, discriminates whether or not to treat the particle as a process target in accordance with the fluorophore information, and generates teaching data by associating a result of the discrimination with the detection data. The learning unit applies a machine learning algorithm to the teaching data, learns a characteristic of the detection data discriminated as the process target, and generates dictionary data including a result of the learning. The discrimination unit discriminates whether or not the particle whose detection data has been acquired is the process target on the basis of the dictionary data when the detection data is supplied.
-
-
-
-
-
-
-
-
搜索结果
9 条记录 (耗时 0.02 秒)
