Patents by Inventor Slo-Li CHU

Slo-Li CHU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems for identifying cells and uses thereof
    Patent number: 12087066
    Abstract: Disclosed herein are a system for identifying cells on a microscopic image. According to some embodiments, the system comprises a non-transitory processor-readable medium, and a processor communicably configured to receive the microscopic image, and process the received microscopic image with a convolutional neural network (CNN) model having a modified U-Net architecture. Also disclosed herein are methods for identifying a spatial pattern of human induced pluripotent stem cells (hiPSCs) by using the present system.
    Type: Grant
    Filed: April 8, 2022
    Date of Patent: September 10, 2024
    Assignees: Chung Yuan Christian University, RIKEN
    Inventors: Slo-Li Chu, Kuniya Abe, Hideo Yokota, Ming-Dar Tsai
  • SYSTEMS FOR IDENTIFYING CELLS AND USES THEREOF
    Publication number: 20230326221
    Abstract: Disclosed herein are a system for identifying cells on a microscopic image. According to some embodiments, the system comprises a non-transitory processor-readable medium, and a processor communicably configured to receive the microscopic image, and process the received microscopic image with a convolutional neural network (CNN) model having a modified U-Net architecture. Also disclosed herein are methods for identifying a spatial pattern of human induced pluripotent stem cells (hiPSCs) by using the present system.
    Type: Application
    Filed: April 8, 2022
    Publication date: October 12, 2023
    Applicants: Chung Yuan Christian University, RIKEN
    Inventors: Slo-Li CHU, Kuniya ABE, Hideo YOKOTA, Ming-Dar TSAI
  • Method and apparatus for predicting cell reprogramming
    Patent number: 11138737
    Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: October 5, 2021
    Assignees: CHUNG YUAN CHRISTIAN UNIVERSITY, RIKEN
    Inventors: Hideo Yokota, Kuniya Abe, Ming-Dar Tsai, Slo-Li Chu, Yuan-Hsiang Chang
  • METHOD AND APPARATUS FOR PREDICTING CELL REPROGRAMMING
    Publication number: 20200126234
    Abstract: Disclosed herein are methods for predicting the reprogramming process of cells from a microscopic image of one or more cells. According to some embodiments, the method includes capturing an image of region of interest (ROI) of every pixel of the microscopic image, followed by processing the ROI image with a trained convolutional neural network (CNN) model and a trained long short-term memory (LSTM) network so as to obtain predicted probability maps. Also disclosed herein are a storage medium and a system for executing the present methods.
    Type: Application
    Filed: December 18, 2019
    Publication date: April 23, 2020
    Applicants: Chung Yuan Christian University, RIKEN
    Inventors: Hideo Yokota, Kuniya Abe, Ming-Dar TSAI, Slo-Li CHU, Yuan-Hsiang CHANG