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公开(公告)号：US20230326064A1
公开(公告)日：2023-10-12
申请号：US18078797
申请日：2022-12-09
Applicant: Element Biosciences, Inc.
Inventor： Chunhong ZHOU , Semyon KRUGLYAK , Francisco GARCIA , Minghao GUO , Haosen WANG , Ryan KELLY
IPC: G06T7/66 , G06T7/30 , G06V10/75 , G06V20/69 , G06F18/232 , G06V10/762
CPC classification number: G06T7/66 , G06T7/30 , G06V10/751 , G06V20/693 , G06V20/695 , G06F18/232 , G06V10/763 , G06V20/69 , G06V2201/04
Abstract: Image data analysis, particularly identifying cluster locations for performing base-calling in a digital flow cell image during DNA sequencing, is described. Each nucleic acid template molecule immobilized on a support may include an insert sequence and a sample index sequence. The sample index sequence may include a k-mer sequence. A sequencing system may conduct k cycles of sequencing reactions of the k-mer sequence before conducting one or more cycles of the insert sequence sequencing reactions and generate a first plurality of flow cell images. Pixel intensities may be determined for pixels of the first plurality of flow cell images. A base calling template may be determined and include base calling locations based on the pixel intensities and respective color purities of the pixel intensities. The base calling template may register a second plurality of flow cell images of the support in one or more cycles subsequent to the k cycles.
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公开(公告)号：US20230410986A1
公开(公告)日：2023-12-21
申请号：US18458532
申请日：2023-08-30
Applicant: PAIGE.AI, Inc.
Inventor： Ran GODRICH , Jillian SUE , Leo GRADY , Thomas FUCHS
IPC: G16H30/40 , G16H70/60 , G16H40/20 , G16H10/40 , G16H50/20 , G16H70/20 , G16B40/20 , G06N20/00 , G06T7/00 , G06F18/214
CPC classification number: G16H30/40 , G16H70/60 , G16H40/20 , G16H10/40 , G16H50/20 , G16H70/20 , G16B40/20 , G06N20/00 , G06T7/0012 , G06F18/214 , G06V2201/03 , G06V2201/04 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06T2207/30204
Abstract: Systems and methods are disclosed for processing images including, for example, receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient; determining a quality control metric for the target image via a first trained machine learning model having been trained to predict the quality control metric based on the target image, wherein the quality control metric signifies a quality control issue; and outputting, via a user interface, a sequence of a plurality of digitized pathology images, wherein a placement of the target image in the sequence is based on the quality control metric.
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公开(公告)号：US20230326065A1
公开(公告)日：2023-10-12
申请号：US18078820
申请日：2022-12-09
Applicant: Element Biosciences, Inc.
Inventor： Connor THOMPSON , Tsung-li LIU , Semyon KRUGLYAK , Minghao GUO
IPC: G06T7/66 , G06T7/30 , G06V10/75 , G06V20/69 , G06F18/232 , G06V10/762
CPC classification number: G06T7/66 , G06T7/30 , G06V10/751 , G06V20/693 , G06V20/695 , G06F18/232 , G06V10/763 , G06V20/69 , G06V2201/04
Abstract: Image data analysis, and particularly identifying cluster or polony locations for performing base-calling in a digital image of a flow cell during DNA sequencing is described. A method may include generating a first plurality of flow cell images of a cellular sample immobilized on a support by conducting one or more cycles of sequencing reactions. The cellular sample may include a plurality of concatemer molecules therewithin. For the first plurality of flow cell image, pixel intensities, and a respective color purity of each of the pixel intensities may be determined. A base calling template may include base calling locations based on the pixel intensities and the respective color purity of the pixel intensities. The base calling template may be for registering a second plurality of flow cell images of the support in one or more subsequent cycles of the one or more cycles.
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公开(公告)号：US12045982B2
公开(公告)日：2024-07-23
申请号：US18233275
申请日：2023-08-11
Applicant: Insitro, Inc.
Inventor： Matthew Chen , Lauren Schiff , Alicia Cuevas , Kelly Haston , Haoyang Zeng , Cody Scandore
CPC classification number: G06T7/0012 , G06V10/82 , G06V20/695 , G06T2207/10056 , G06T2207/10064 , G06T2207/20084 , G06T2207/30072 , G06V2201/04
Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
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公开(公告)号：US20230401704A1
公开(公告)日：2023-12-14
申请号：US18233275
申请日：2023-08-11
Applicant: Insitro, Inc.
Inventor： Matthew Chen , Lauren Schiff , Alicia Cuevas , Kelly Haston , Haoyang Zeng , Cody Scandore
CPC classification number: G06T7/0012 , G16B20/00 , G06V20/695 , G06V10/82 , G06T2207/10056 , G06T2207/10064 , G06T2207/30072 , G06V2201/04 , G06T2207/20084
Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).
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Patent Agency Ranking
公开(公告)号：US20240293812A1
公开(公告)日：2024-09-05
申请号：US18654698
申请日：2024-05-03
Applicant: S.D. Sight Diagnostics Ltd.
Inventor： Ido BACHELET , Joseph Joel Pollak , Daniel Levner , Yanatan Bilu , Noam Yorav-Raphael
CPC classification number: B01L3/502715 , G01N15/1433 , G01N21/23 , G01N21/5907 , G01N21/6458 , B01L2300/0816 , B01L2300/0864 , G01N2015/016 , G01N2015/1006 , G01N2021/5957 , G01N2021/6419 , G01N2021/6421 , G06V2201/03 , G06V2201/04
Abstract: Apparatus and methods are described including a digital camera, and a computer processor configured to drive the digital camera to acquire, for each of a plurality of imaging fields of a stained bodily sample, three or more digital images. At least one of the images is a brightfield image and at least two of the images are fluorescent images, each of the fluorescent images being acquired using respective first and second filters, which are different from each other. The computer processor performs image processing on the digital images, by extracting visual classification features from each of the three or more digital images, and identifies one or more entities that are contained within the bodily sample, based upon the image processing. Other applications are also described.
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7.发明公开公开(公告)号：US20230206601A1
公开(公告)日：2023-06-29
申请号：US17996827
申请日：2021-09-13
Applicant: Robert Bosch GmbH
Inventor： Jan Hendrik Metzen
IPC: G06V10/764 , G06V10/82
CPC classification number: G06V10/764 , G06V10/82 , G06V2201/04
Abstract: A computer-implemented method for determining an output signal characterizing a first classification of an input image into a class from a plurality of classes. The output signal further characterizes a second classification of a robustness of the first classification against an attack with an adversarial patch.
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公开(公告)号：US12005443B2
公开(公告)日：2024-06-11
申请号：US17064193
申请日：2020-10-06
Applicant: S.D. Sight Diagnostics Ltd.
Inventor： Ido Bachelet , Joseph Joel Pollak , Daniel Levner , Yonatan Bilu , Noam Yorav-Raphael
CPC classification number: B01L3/502715 , G01N15/1433 , G01N21/23 , G01N21/5907 , G01N21/6458 , B01L2300/0816 , B01L2300/0864 , G01N2015/016 , G01N2015/1006 , G01N2021/5957 , G01N2021/6419 , G01N2021/6421 , G06V2201/03 , G06V2201/04
Abstract: Apparatus and methods are described including successively acquiring a plurality of microscopic images of a portion of a blood sample, and tracking motion of pixels within the successively acquired microscopic images. Trypomastigote parasite candidates within the blood sample are identified, by identifying pixel motion that is typical of trypomastigote parasites. It is determined that the blood sample is infected with trypomastigote parasites, at least partially in response thereto. An output is generated indicating that that the blood sample is infected with trypomastigote parasites. Other applications are also described.
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公开(公告)号：US11915444B2
公开(公告)日：2024-02-27
申请号：US17854042
申请日：2022-06-30
Applicant: Element Biosciences, Inc.
Inventor： Chunhong Zhou , Semyon Kruglyak , Francisco Garcia , Minghao Guo , Haosen Wang , Ryan Kelly
IPC: G06T7/66 , G06T7/30 , G06V10/75 , G06V20/69 , G06F18/232 , G06V10/762
CPC classification number: G06T7/66 , G06F18/232 , G06T7/30 , G06V10/751 , G06V10/763 , G06V20/69 , G06V20/693 , G06V20/695 , G06V2201/04
Abstract: Methods and systems for image analysis are provided, and in particular for identifying a set of base-calling locations in a flow cell for DNA sequencing. These include capturing flow cell images after each sequencing step performed on the flow cell, and identifying candidate cluster centers in at least one of the flow cell images. Intensities are determined for each candidate cluster center in a set of flow cell images. Purities are determined for each candidate cluster center based on the intensities. Each candidate cluster center with a purity greater than the purity of the surrounding candidate cluster centers within a distance threshold is added to a template set of base-calling locations.
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公开(公告)号：US11776681B2
公开(公告)日：2023-10-03
申请号：US17809313
申请日：2022-06-28
Applicant: PAIGE.AI, Inc.
Inventor： Ran Godrich , Jillian Sue , Leo Grady , Thomas Fuchs
IPC: G06T7/00 , G06N20/00 , G16H50/20 , G16H70/60 , G16H40/20 , G16H10/40 , G16H30/40 , G16H70/20 , G16B40/20 , G06K9/62 , G06F18/214
CPC classification number: G16H30/40 , G06F18/214 , G06N20/00 , G06T7/0012 , G16B40/20 , G16H10/40 , G16H40/20 , G16H50/20 , G16H70/20 , G16H70/60 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06T2207/30204 , G06V2201/03 , G06V2201/04
Abstract: An image processing method including identifying, using a machine learning system, an area of interest of a target image by analyzing features extracted from image regions in the target image, the machine learning system being generated by processing a plurality of training images each comprising an image of human tissue and a diagnostic label characterizing at least one of a slide morphology, a diagnostic value, and a pathologist review outcome; determining, using the machine learning system, a probability of a target feature being present in the area of interest of the target image based on an average probability; determining, using the machine learning system, a prioritization value, of a plurality of prioritization values, of the target image based on the probability of the target feature being present in the target image.
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