公开(公告)号：US20220220547A1

公开(公告)日：2022-07-14

申请号：US17612037

申请日：2020-05-15

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Wilfredo Dominguez-Nunez ,  Raj Rajagopal ,  Nicholas A. Asendorf ,  Saber Taghvaeeyan

IPC: C12Q1/6848 ,  G16B40/00 ,  C12Q1/689

Abstract: In some examples, a system for detecting inhibition of a biological assay includes a detection device configured to amplify and detect a target nucleic acid. The detection device is configured to receive a sample comprising a matrix and a quantity of the target nucleic acid and to amplify the target nucleic acid within the sample over a nucleic acid amplification cycle. The detection device is configured to capture a data set including measurements of the nucleic acid collected during the amplification cycle. The system further includes a computing device configured to receive the data set and to apply a machine-learning system to the data set to detect inhibited biological assays that tested negative for the target nucleic acid due to matrix inhibition.

公开(公告)号：US20220115092A1

公开(公告)日：2022-04-14

申请号：US17431196

申请日：2020-01-27

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Wilfredo Dominguez-Nunez ,  Raj Rajagopal ,  Nicholas A. Asendorf ,  Saber Taghvaeeyan

IPC: G16B40/20 ,  G16B20/00 ,  C12Q1/06

Abstract: In some examples, a system for amplifying and quantifying a target organism present in a sample includes a detection device configured to amplify and detect a nucleic acid associated with the target organism. The detection device configured to receive a sample and to amplify nucleic acid in the sample over an amplification cycle. The detection device is configured to capture a data set including measurements of the nucleic acid collected during the amplification cycle. The system further includes a computing device configured to receive the data set and to apply a machine learning system to the data set. The machine learning system is trained to estimate a quantity of the target organism present in the sample based on the measurements in the data set.

公开(公告)号：US11143685B2

公开(公告)日：2021-10-12

申请号：US16647539

申请日：2018-10-31

Applicant: 3M INNOVATIVE PROPERTIES COMPANY

Inventor： Golshan Golnari ,  Saber Taghvaeeyan ,  Jennifer F. Schumacher

IPC: G01R31/08

Abstract: The present subject matter enables early or real-time detection of anomalies in electric networks. In various applications, the system detects anomalies, such as electricity theft, electricity surge, etc. It solves the difficult-to-detect problems in an electrical network, where anomalies like electricity theft or electrical surge may not be found until it has raised numerous concerns or complaints, or has created a significant impact on infrastructure functionality, service quality, or cost. In addition, the present subject matter decreases the requirement for large number of sensors and provides more cost effective and scalable solutions. The present subject matter provides a method for determining where a detected anomaly is occurring within an electrical network. Variations of the present subject matter include anomaly identification systems for addressing anomalies in large networks. Various applications of the present subject matter provide guidance or effective placement of sensors in the electrical network.