Patents by Inventor Soo Yeon CHO

Soo Yeon CHO 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).

  • CELL ANALYSIS METHOD AND CELL ANALYSIS SYSTEM
    Publication number: 20250216314
    Abstract: A cell analysis method and a cell analysis system are provided. The cell analysis method includes: providing a flow unit to provide a path in which a cell flows, the flow unit including a light emitting layer to, in response to being irradiated by a first light in a first wavelength band, emit a second light in a second wavelength band; irradiating the light emitting layer with the first light; emitting the second light from the light emitting layer in response to the irradiation of the first light; acquiring an image formed by reacting the cell with the second light emitted from the light emitting layer; and analyzing the cell from the acquired image.
    Type: Application
    Filed: September 16, 2024
    Publication date: July 3, 2025
    Applicant: RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY
    Inventors: Soo Yeon CHO, Young Ho SONG, Changyu TIAN
  • Ultra-high sensitive target signal detection method based on noise analysis using deep learning based anomaly detection and system using the same
    Patent number: 12210977
    Abstract: Disclosed are an ultra-high sensitivity target signal detection method based on analysis of a noise signal of a sensor using deep learning based anomaly detection and a system using the same. More particularly, disclosed are a method and apparatus for receiving a noise signal from a sensor and inputting data to an artificial neural network trained with a normal noise signal to determine whether or not a target signal is present. The target signal detection method is capable of detecting a target signal having a very low concentration that can be detected by a conventional sensor, whereby the target signal detection method is useful in developing an ultra-high sensitivity sensor.
    Type: Grant
    Filed: December 14, 2020
    Date of Patent: January 28, 2025
    Assignee: Korea Advanced Institute of Science and Technology
    Inventors: Hee-Tae Jung, Jihan Kim, Youhan Lee, Soo-Yeon Cho, Hohyung Kang
  • ULTRA-HIGH SENSITIVE TARGET SIGNAL DETECTION METHOD BASED ON NOISE ANALYSIS USING DEEP LEARNING BASED ANOMALY DETECTION AND SYSTEM USING THE SAME
    Publication number: 20210216877
    Abstract: Disclosed are an ultra-high sensitivity target signal detection method based on analysis of a noise signal of a sensor using deep learning based anomaly detection and a system using the same. More particularly, disclosed are a method and apparatus for receiving a noise signal from a sensor and inputting data to an artificial neural network trained with a normal noise signal to determine whether or not a target signal is present. The target signal detection method is capable of detecting a target signal having a very low concentration that can be detected by a conventional sensor, whereby the target signal detection method is useful in developing an ultra-high sensitivity sensor.
    Type: Application
    Filed: December 14, 2020
    Publication date: July 15, 2021
    Inventors: Hee-Tae Jung, Jihan Kim, Youhan Lee, Soo-Yeon Cho, Hohyung Kang
  • SENSOR INCLUDING NANOSTRUCTURES AND METHOD FOR MANUFACTURING THE SAME
    Publication number: 20200225185
    Abstract: The present disclosure relates to a sensor including a nanostructure and a method for manufacturing the same.
    Type: Application
    Filed: January 15, 2020
    Publication date: July 16, 2020
    Inventors: Hee-Tae JUNG, Hohyung KANG, Heeeun JOO, Soo Yeon CHO, Woo-Bin JUNG