公开(公告)号：WO2022038061A1

公开(公告)日：2022-02-24

申请号：PCT/EP2021/072650

申请日：2021-08-13

Applicant: SARTORIUS STEDIM DATA ANALYTICS AB

Inventor： AUSTERJOST, Jonas ,  MATUSZCZYK, Jens ,  SOELDNER, Robert ,  SJOEGREN, Rickard ,  EDLUND, Christoffer ,  POLLARD, David James

IPC: C12M1/21 ,  C12M1/36 ,  G06N3/04

Abstract: A computer implemented method for detecting foam on the surface of a liquid medium contained in a vessel is described. The method including the steps of receiving a sample image of at least a portion of the vessel comprising the liquid-gas interface and classifying the sample image between a first class and at least one second class, associated with different amounts of foam on the surface of the liquid. The classifying is performed by a deep neural network classifier that has been trained using a plurality of training images of at least a portion of a vessel comprising a liquid-gas interface. The plurality of training images may comprise at least some images that differ from each other by one or more of: the location of the liquid-gas interface on the image, the polar and/or azimuthal angle at which the liquid- gas interface is viewed on the image, and the light intensity or colour temperature of the one or more light sources that illuminated the imaged portion of the vessel when the image was acquired. Related methods for controlling a bioprocess, for providing a tool, and related systems and computer software products are also described.

公开(公告)号：WO2022162115A1

公开(公告)日：2022-08-04

申请号：PCT/EP2022/051988

申请日：2022-01-28

Applicant: SARTORIUS STEDIM DATA ANALYTICS AB

Inventor： SJÖGREN, Rickard ,  ZEHE, Christoph ,  EDLUND, Christoffer

IPC: G06T7/00

Abstract: The present description relates to computer-implemented monitoring of monoclonal quality of cell growth, which is specifically applicable for the development of cell lines for the manufacturing of biopharmaceuticals. In one aspect a computer-implemented method is provided comprising: acquiring (ST10) a sequence of images (10) of a cell culture taken at different times during cell growth; processing (ST20) each image in the sequence of images to identify cell locations of cells in the cell culture; determining (ST40) for at least some of the images in the sequence of images the number of cells from the identified cell locations; determining (ST30) for at least one image in the sequence of images a spatial distribution of cells from the identified cell locations; evaluating compliance of the determined numbers of cells and the determined spatial distribution of cells with predetermined evaluation conditions being characteristic of monoclonal growth; and assessing and outputting a monoclonal quality indicator based on the evaluated compliance with the predetermined evaluation conditions.

公开(公告)号：WO2022008667A1

公开(公告)日：2022-01-13

申请号：PCT/EP2021/069019

申请日：2021-07-08

Applicant: SARTORIUS STEDIM DATA ANALYTICS AB

Inventor： EDLUND, Christoffer ,  SJÖGREN, Rickard ,  DALE, Timothy ,  LOVELL, Gillian

IPC: G06T3/40

Abstract: A computer-implemented method is provided for processing images. The method comprises: down-sampling a plurality of first images having a first resolution for obtaining a plurality of second images having a second resolution, the first resolution being higher than the second resolution, each one of the plurality of second images being a down-sampled version of one of the plurality of first images; training an artificial neural network, ANN, model (40) to process an input image and output an output image having a higher resolution than the input image, wherein training data for the training comprises pairs of images, each pair of images including: one of the plurality of second images as an input to the ANN model (40); and one of the plurality of first images, corresponding to the one of the plurality of second images, as a desired output from the ANN model (40) in case the one of the plurality of second images is input to the ANN model (40); inputting at least one of the plurality of first images to the trained ANN model (40); and obtaining at least one output image from the trained ANN model (40), the at least one output image having a third resolution that is higher than the first resolution.

公开(公告)号：WO2021239533A1

公开(公告)日：2021-12-02

申请号：PCT/EP2021/063258

申请日：2021-05-19

Applicant: SARTORIUS STEDIM DATA ANALYTICS AB

Inventor： SJÖGREN, Rickard ,  EDLUND, Christoffer ,  SEHLSTEDT, Mattias

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/6267 ,  G06V10/82 ,  G06V20/48 ,  G06V20/49 ,  G06V20/695 ,  G06V20/698

Abstract: A computer-implemented method is provided for analyzing videos of a living system captured with microscopic imaging. The method comprises: obtaining (S10) a base dataset including one or more videos captured with microscopic imaging, at least one of the one or more videos including a cellular event; cropping out (S30), from the base dataset, sub-videos including one or more objects of interest that may be involved in the cellular event; receiving (S40) information indicating a plurality of sub-videos selected from among the sub-videos that are cropped out from the base dataset, the plurality of selected sub-videos including the cellular event; training (S50) an artificial neural network, ANN, model, using the plurality of selected sub-videos as training data, to perform unsupervised video alignment; obtaining (S602) a query sub-video, the query sub-video being: one of the sub-videos that are cropped out from the base dataset, or a sub-video cropped out from a video that is captured with microscopic imaging and that is not included in the base dataset; aligning (S604), using the trained ANN model, the query sub-video with a reference sub-video that is one of the plurality of selected sub-videos; and determining (S606), according to a result of the aligning, whether or not the query sub-video includes the cellular event.