公开(公告)号：US20240339179A1

公开(公告)日：2024-10-10

申请号：US18748479

申请日：2024-06-20

Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION

Inventor： SRINIVAS C. CHENNUBHOTLA ,  ALBERT H. GOUGH ,  ANDREW M. STERN ,  MICHAEL J. BECICH ,  DOUGLASS L. TAYLOR

IPC: G16B40/10 ,  B01L3/00 ,  G01N1/28 ,  G01N1/30 ,  G06F3/04817 ,  G06F3/0482 ,  G06T7/00

CPC classification number: G16B40/10 ,  B01L3/5085 ,  G01N1/2806 ,  G01N1/30 ,  G06F3/04817 ,  G06F3/0482 ,  G06T7/0012 ,  G06T2200/24 ,  G06T2207/30024 ,  G06T2207/30072 ,  G06T2207/30096

Abstract: A method of generating a plurality of spatially co-registered data elements, each spatially co-registered data element being associated with and generated from a pair of co-registered tissue sections obtained from adjacent positions of a core taken from a tissue sample and including an image data section and a genomic data section. The method includes, for each pair of co-registered tissue sections: (i) obtaining and storing as part of a data element a plurality of multi to hyperplexed images from the imaging data section of the co-registered tissue section, (ii) generating and storing as part of the data element image data from the plurality of multi to hyperplexed images, and (iii) generating and storing as part of the data element genomic data from the genomic data section of the associated co-registered tissue section.

公开(公告)号：US20240321394A1

公开(公告)日：2024-09-26

申请号：US18615855

申请日：2024-03-25

Applicant: Mayo Foundation for Medical Education and Research

Inventor： Hamid R. Tizhoosh ,  Amir S. Kordbacheh

IPC: G16B25/10 ,  G06T7/00

CPC classification number: G16B25/10 ,  G06T7/0012 ,  G06T2207/20081 ,  G06T2207/30072

Abstract: A complete gene expression profile is predicted from digital pathology images, such as a whole-slide images, using an attention-based machine learning model that is based on a transformer encoder architecture. While predicting gene profiles, the machine learning model simultaneously learns a whole-slide image representation, and thus also outputs classified feature data that indicate a classification of the whole-slide images.

公开(公告)号：US20240320826A1

公开(公告)日：2024-09-26

申请号：US18613562

申请日：2024-03-22

Applicant: Pacific Biosciences of California, Inc.

Inventor： Dennis BALLINGER ,  Norman BURNS ,  Manohar FURTADO ,  Niandong LIU ,  Windsor OWENS ,  Bryan STAKER

IPC: G06T7/00 ,  C12Q1/6816 ,  G06T7/174 ,  G06T7/70

CPC classification number: G06T7/0012 ,  C12Q1/6816 ,  G06T7/174 ,  G06T7/70 ,  G06T2207/30072

Abstract: Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

公开(公告)号：US12060608B2

公开(公告)日：2024-08-13

申请号：US18181440

申请日：2023-03-09

Applicant: Pacific Biosciences of California, Inc.

Inventor： Bryan P. Staker ,  Niandong Liu ,  Manohar R. Furtado ,  Rixun Fang ,  Norman Burns ,  Windsor Owens

IPC: G06T7/73 ,  C12Q1/6874 ,  G06V20/69 ,  G16B25/30 ,  G16B30/00 ,  G16B30/10

CPC classification number: C12Q1/6874 ,  G06T7/73 ,  G06V20/69 ,  G16B25/30 ,  G16B30/00 ,  G16B30/10 ,  G06F2218/18 ,  G06T2207/20056 ,  G06T2207/30072 ,  G06V20/695

Abstract: Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. There have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy or polynucleotide sequencing applications.

公开(公告)号：US20240263214A1

公开(公告)日：2024-08-08

申请号：US18581760

申请日：2024-02-20

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Daniel T. CHIU ,  Jason E. KREUTZ ,  Gloria S. YEN ,  Bryant S. FUJIMOTO

IPC: C12Q1/6816 ,  G01N15/1434 ,  G01N21/47 ,  G01N21/64 ,  G06T7/62 ,  G06V20/69

CPC classification number: C12Q1/6816 ,  G01N15/1434 ,  G01N21/47 ,  G01N21/6428 ,  G06T7/62 ,  G06V20/695 ,  G01N2015/1445 ,  G01N2021/6439 ,  G06T2207/10056 ,  G06T2207/30072

Abstract: Methods, devices, and systems for performing digital assays are provided. In certain aspects, the methods, devices, and systems can be used for the amplification and detection of nucleic acids. In certain aspects, the methods, devices, and systems can be used for the recognition, detection, and sizing of droplets in a volume. Also provided are compositions and kits suitable for use with the methods and devices of the present disclosure.

公开(公告)号：US20240257320A1

公开(公告)日：2024-08-01

申请号：US18405320

申请日：2024-01-05

Applicant: Illumina, Inc.

Inventor： Robert Ezra Langlois ,  Hongji Ren ,  Mohamed Khaled Mohamed Geunady ,  John S. Vieceli ,  Gregory Holst ,  Paul Sangiorgio

IPC: G06T5/80 ,  G06T3/02 ,  G06T7/73

CPC classification number: G06T5/80 ,  G06T3/02 ,  G06T7/74 ,  G06T2207/30072

Abstract: Systems, methods, and apparatuses are described herein. For instance, a detection apparatus may comprise memory and at least one processor. The detection apparatus may be configured to obtain an image comprising at least one feature and a plurality of fiducials. The plurality of fiducials may be arranged in a pattern. The detection apparatus may be configured to determine a plurality of sub-regions of the image. Each sub-region comprises a subset of the fiducials comprised in the image. The detection apparatus may be configured to perform a geometric transform on each sub-region to generate a respective local transform associated with each sub-region. The detection apparatus may be configured to register respective locations of the fiducials comprised in the image based on the respective local transform associated with each sub-region. A size of each sub-region may be selected such that each sub-region is substantially invariant to stage jitter.

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

IPC: G06T7/00 ,  G06V10/82 ,  G06V20/69

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).

公开(公告)号：US12039744B2

公开(公告)日：2024-07-16

申请号：US18201309

申请日：2023-05-24

Applicant: MGI Tech Co., Ltd.

Inventor： Mei Li ,  Yu-Xiang Li ,  Yi-Wen Liu

IPC: G06T7/00 ,  G06T7/33 ,  G06T7/70

CPC classification number: G06T7/337 ,  G06T7/0012 ,  G06T7/70 ,  G06T2207/10064 ,  G06T2207/20021 ,  G06T2207/30072

Abstract: A fluorescence image registration method includes obtaining at least one fluorescence image of a biochip. An interior local area is selected. Sums of pixel values in the interior local area along a first direction and a second direction are obtained. A plurality of first template lines is selected to find a minimum total value of the sums of pixel values corresponding to the first template lines. Pixel-level correction is performed on a local area of the track line to obtain pixel-level track cross. Other track crosses on the biochip is obtained, and the pixel-level correction is performed on the other track crosses. The position of the pixel-level track line is corrected by a center-of-gravity method to obtain the subpixel-level position of the track line. The subpixel-level positions of all sites uniformly distributed on the biochip is obtained.

公开(公告)号：US12019066B2

公开(公告)日：2024-06-25

申请号：US15597002

申请日：2017-05-16

Applicant: BIOMADISON, INC.

Inventor： Timothy Piazza ,  Francis Mark Dunning ,  Ward C Tucker

IPC: C07K14/705 ,  C07K14/435 ,  C12Q1/37 ,  G01N33/50 ,  G06T7/00

CPC classification number: G01N33/5005 ,  C07K14/43595 ,  C07K14/705 ,  C12Q1/37 ,  G06T7/001 ,  G06T7/0016 ,  C07K2319/50 ,  C07K2319/60 ,  C07K2319/70 ,  G01N2333/33 ,  G01N2333/952 ,  G06T2207/30072 ,  G06T2207/30242

Abstract: Compositions and methods for improved cell-based methods of characterizing botulinum neurotoxins are provided. Cells utilized in these methods include a reporting construct that is cleaved following uptake and processing of botulinum neurotoxin by the cell, resulting in proteolysis of the portion of the reporting construct that is released following cleavage. The released portion includes a fluorophore and amino acid substitutions or sequences that enhance the rate of proteolysis. A pair of reporting constructs can be utilized in which one member of the pair is modified to resist cleavage by the botulinum neurotoxin while co-localizing with the remaining member of the pair.

公开(公告)号：US11939626B2

公开(公告)日：2024-03-26

申请号：US17813415

申请日：2022-07-19

Applicant: UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION

Inventor： Daniel T. Chiu ,  Jason E. Kreutz ,  Gloria S. Yen ,  Bryant S. Fujimoto

IPC: C12Q1/6816 ,  G01N15/14 ,  G01N15/1434 ,  G01N21/47 ,  G01N21/64 ,  G06T7/62 ,  G06V20/69

CPC classification number: C12Q1/6816 ,  G01N15/1434 ,  G01N21/47 ,  G01N21/6428 ,  G06T7/62 ,  G06V20/695 ,  G01N2015/1445 ,  G01N2021/6439 ,  G06T2207/10056 ,  G06T2207/30072 ,  C12Q1/6816 ,  C12Q2531/113 ,  C12Q2537/157 ,  C12Q2563/107 ,  C12Q2563/159

Abstract: Methods, devices, and systems for performing digital assays are provided. In certain aspects, the methods, devices, and systems can be used for the amplification and detection of nucleic acids. In certain aspects, the methods, devices, and systems can be used for the recognition, detection, and sizing of droplets in a volume. Also provided are compositions and kits suitable for use with the methods and devices of the present disclosure.