公开(公告)号：US20220010261A1

公开(公告)日：2022-01-13

申请号：US17294716

申请日：2019-12-03

申请人： Cytiva Sweden AB

发明人： Andreas Axén ,  Helena Ohrvik ,  Martin Antti

IPC分类号： C12M1/36 ,  C12M1/34 ,  G05B19/4155

摘要： The present invention relates to a computer implemented method (400) performed by a controller (C) configured to control a bioprocess comprised in a bioreactor (BR), the method comprising obtaining (410) measurement results by performing spectrophotometry of a bioprocessing fluid (FL), generating (420) control parameters based on the measurement results and one model and, controlling (430) the bioprocess using the generated parameters.

公开(公告)号：US20220259532A1

公开(公告)日：2022-08-18

申请号：US17618352

申请日：2020-06-23

申请人： Cytiva Sweden AB

发明人： Magnus Raberg ,  Tobias Soderman ,  Andreas Borgstrom ,  Helena Ohrvik

IPC分类号： C12M1/36 ,  G05B17/02

摘要： The present invention relates to a computer implemented method performed by a controller (C) configured to control a bioprocess comprised in a bioreactor (BR), the method comprising obtaining (410) measurement results by performing spectroscopy of a bioprocessing fluid (FL) comprised in the bioreactor (BR), generating bioprocessing parameters using the measurement results, one or more bioprocessing target parameters and one or more trained models, and, controlling the bioprocess using the generated bioprocessing parameters. The method wherein the one or more trained models are neural networks, wherein the measurement results comprise a spectrum, wherein the spectrum is split to a number N parts used to calculate N average values, wherein the N average values and the corresponding values of bioprocessing parameters are used § as features in the neural network.