Patents by Inventor Mao HATTO

Mao HATTO 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).

  • Microscope system
    Patent number: 11714274
    Abstract: An acquisition condition is decided for a second image of improved quality. Values xi resulting from down sampling brightness values of an input first image are accepted by an input layer. A filter is scanned and a convolutional computation performed in a convolutional layer. Outputs z1 to z4 of the convolutional layer and a first image acquisition condition v=(v1, v2, v3, v4) of the first image are accepted by an output layer and a second acquisition condition y is computed by the output layer.
    Type: Grant
    Filed: May 27, 2020
    Date of Patent: August 1, 2023
    Assignee: NIKON CORPORATION
    Inventors: Mao Hatto, Yutaka Sasaki, Hideo Takahashi, Norio Yoshida
  • CALCULATION DEVICE, CALCULATION PROGRAM, AND CALCULATION METHOD
    Publication number: 20200372652
    Abstract: A calculation device includes a reference image acquisition unit configured to acquire a plurality of reference images in which cells are imaged, a comparative image acquisition unit configured to acquire a comparative image in which comparative cells to be compared with the cells imaged in the plurality of reference images are imaged, and a calculation unit configured to calculate the difference between a feature quantity calculated using the plurality of reference images and a feature quantity calculated using the comparative image.
    Type: Application
    Filed: August 13, 2020
    Publication date: November 26, 2020
    Applicant: NIKON CORPORATION
    Inventors: Mao HATTO, Shinichi FURUTA, Mamiko MASUTANI, Seri HAYASHI
  • MICROSCOPE SYSTEM
    Publication number: 20200285038
    Abstract: An acquisition condition is decided for a second image of improved quality. Values x1 resulting from down sampling brightness values of an input first image are accepted by an input layer. A filter is scanned and a convolutional computation performed in a convolutional layer. Outputs z1 to z4 of the convolutional layer and a first image acquisition condition v=(v1, v2, v3, v4) of the first image are accepted by an output layer and a second acquisition condition y is computed by the output layer.
    Type: Application
    Filed: May 27, 2020
    Publication date: September 10, 2020
    Applicant: NIKON CORPORATION
    Inventors: Mao HATTO, Yutaka SASAKI, Hideo TAKAHASHI, Norio YOSHIDA