Patents by Inventor Franck NICOUD

Franck NICOUD 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).

  • Patent number: 12259308
    Abstract: A medical analysis device with cellular impedance signal processing features a memory arranged to receive pulse data sets, with each pulse data set including impedance value data that are associated each time with a time marker. The pulse data sets together represent a curve of cellular impedance values that are measured as a cell passes through a polarised opening. The device further includes a classifier in communication with the memory. The classifier may feature a convolutional neural network that receives the pulse data sets as input. The classifier is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: March 25, 2025
    Assignees: HORIBA ABX SAS, UNIVERSITE DE MONTPELLIER, CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS)
    Inventors: Pierre Taraconat, Damien Isebe, Simon Mendez, Franck Nicoud
  • Patent number: 12196662
    Abstract: A device for medical analyses with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarized opening, a computer (6) arranged to process a pulse data set by determining a rotation value indicating whether the cell from which this pulse data set has been taken has undergone a rotation during its passage through the polarized opening, and a classifier (8) arranged to retrieve from the computer (6) a given pulse data set, and to use the resulting rotation value to classify the given pulse data set in a rotation pulse data set group (10) or a rotationless pulse data set group (12).
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: January 14, 2025
    Assignee: HORIBA ABX SAS
    Inventors: Pierre Taraconat, Damien Isebe, Simon Mendez, Franck Nicoud
  • Publication number: 20230066255
    Abstract: A medical analysis device with cellular impedance signal processing comprises a memory (4) arranged to receive pulse data sets, each pulse data set comprising impedance value data that are associated each time with a time marker, these data together representing a curve of cellular impedance values that are measured as a cell passes through a polarised opening. This device further comprises a classifier (6) comprising a convolutional neural network receiving the pulse data sets as input and is provided with at least one convolutional layer, which convolutional layer has a depth greater than or equal to 3, and at least two fully connected layers, in addition to an output layer rendering a cell classification from which a pulse data set is derived.
    Type: Application
    Filed: January 15, 2021
    Publication date: March 2, 2023
    Applicants: HORIBA ABX SAS, UNIVERSITE DE MONTPELLIER, CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS)
    Inventors: Pierre TARACONAT, Damien ISEBE, Simon MENDEZ, Franck NICOUD