Patents Assigned to BIOASTER
  • Patent number: 12591202
    Abstract: A digital holographic imaging technique, includes iterative steps of: a) through back-propagation to the object coordinate of a hologram field comprising a spatial distribution of amplitude corresponding to the spatial distribution of intensity of the hologram and a spatial distribution of phase, determining an object field involving a spatial distribution of absorption and of phase shift of the imaged object, b) thresholding the values of the spatial distribution of absorption and of phase shift by decreasing the values to below a respective threshold, the thresholds decreasing in each iteration, c) through repropagation of the object field to the hologram coordinate, determining a modified hologram field comprising a modified spatial distribution of amplitude and a modified spatial distribution of phase, d) replacing the spatial distribution of phase of the hologram field with the modified spatial distribution of phase, the spatial distribution of phase shift and of absorption of the imaged object being tho
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: March 31, 2026
    Assignees: BIOMERIEUX, BIOASTER
    Inventors: Zohreh Sedaghat, Quentin Josso, Fabian Rol
  • Patent number: 12511919
    Abstract: A method for classifying a sequence of input images representing a target particle in a sample over time, includes the following steps performed by the data processing of a client, namely: (b) concatenation of the input images in the sequence as a three-dimensional stack; (c) direct classification of the three-dimensional stack using a convolutional neural network, CNN.
    Type: Grant
    Filed: October 19, 2021
    Date of Patent: December 30, 2025
    Assignees: BIOMERIEUX, BIOASTER
    Inventors: Pierre Mahé, Meriem El Azami, Elodie Degout-Charmette, Zohreh Sedaghat, Quentin Josso, Fabian Rol
  • Patent number: 12455285
    Abstract: The invention relates to a method for detecting the proportion of Gram-positive and Gram-negative bacteria in a complex sample. The bacteria are detected according to the Gram signal thereof. The invention enables distinction between species of Gram-positive bacteria and species of Gram-negative bacteria in a complex sample. The invention also relates to a kit for marking Gram-positive and Gram-negative bacteria, particularly for use in flow cytometry, particularly for complex samples such as human or animal microbiota samples.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: October 28, 2025
    Assignees: MaaT PHARMA, BIOASTER
    Inventors: Aurore Duquenoy, Samuel Bellais, Vincent Thomas
  • Publication number: 20250092472
    Abstract: A method for in vitro or ex vivo assessment of the risk of complications in a patient admitted to a healthcare facility includes measuring the viral load of at least one torque teno virus (TTV) in a biological sample of the patient, wherein the patient is not undergoing immunosuppressive treatment.
    Type: Application
    Filed: July 19, 2022
    Publication date: March 20, 2025
    Applicants: BIOMERIEUX, BIOASTER, HOSPICES CIVILS DE LYON
    Inventor: François MALLET
  • Publication number: 20240247312
    Abstract: An in vitro or ex vivo method for determining the risk of incidence of a healthcare-associated infection in a patient, including a step of measuring the expression of at least one gene encoding a pro-inflammatory cytokine receptor located on chromosome 2 in the region 2q11-2q12, in a biological sample from the patient.
    Type: Application
    Filed: July 5, 2021
    Publication date: July 25, 2024
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Publication number: 20240020949
    Abstract: A method for classifying at least one input image representing a target particle in a sample, involves implementing, by data processing of a client, steps of: (b) extracting the characteristic map of the target particle by a convolutional neural network pre-trained on a base of public images; (c) classifying the input image according to the extracted characteristic map.
    Type: Application
    Filed: October 19, 2021
    Publication date: January 18, 2024
    Applicants: BIOMERIEUX, BIOASTER
    Inventors: Pierre MAHÉ, Meriem EL AZAMI, Elodie DEGOUT-CHARMETTE, Zohreh SEDAGHAT, Quentin JOSSO, Fabian ROL
  • Publication number: 20230408977
    Abstract: A digital holographic imaging technique, includes iterative steps of: a) through back-propagation to the object coordinate of a hologram field comprising a spatial distribution of amplitude corresponding to the spatial distribution of intensity of the hologram and a spatial distribution of phase, determining an object field involving a spatial distribution of absorption and of phase shift of the imaged object, b) thresholding the values of the spatial distribution of absorption and of phase shift by decreasing the values to below a respective threshold, the thresholds decreasing in each iteration, c) through repropagation of the object field to the hologram coordinate, determining a modified hologram field comprising a modified spatial distribution of amplitude and a modified spatial distribution of phase, d) replacing the spatial distribution of phase of the hologram field with the modified spatial distribution of phase, the spatial distribution of phase shift and of absorption of the imaged object being tho
    Type: Application
    Filed: October 19, 2021
    Publication date: December 21, 2023
    Applicants: BIOMERIEUX, BIOASTER
    Inventors: Zohreh SEDAGHAT, Quentin JOSSO, Fabian ROL
  • Publication number: 20230386233
    Abstract: A method for classifying a sequence of input images representing a target particle in a sample over time, includes the following steps performed by the data processing of a client, namely: (b) concatenation of the input images in the sequence as a three-dimensional stack; (c) direct classification of the three-dimensional stack using a convolutional neural network, CNN
    Type: Application
    Filed: October 19, 2021
    Publication date: November 30, 2023
    Applicants: BIOMERIEUX, BIOASTER
    Inventors: Pierre MAHÉ, Meriem EL AZAMI, Elodie DEGOUT-CHARMETTE, Zohreh SEDAGHAT, Quentin JOSSO, Fabian ROL
  • Publication number: 20230386176
    Abstract: A method for classifying at least one input image representing a target particle in a sample involves implementing, by data processing a client, steps of: (B) extracting a characteristic map of the target particle from the input image; (c) reducing the number of variables in the extracted characteristic map, using the t-SNE algorithm; (d) classifying, unsupervised, the input image based on the characteristic map having a reduced number of variables.
    Type: Application
    Filed: October 19, 2021
    Publication date: November 30, 2023
    Applicants: BIOASTER, BIOMERIEUX
    Inventors: Pierre MAHÉ, Meriem EL AZAMI, Elodie DEGOUT-CHARMETTE, Zohreh SEDAGHAT, Quentin JOSSO, Fabian ROL
  • Publication number: 20230386232
    Abstract: A method for classifying at least one input image containing a target particle in a sample, involves implementing, via data-processing of a client, steps of: (b) extracting a vector of characteristics of the target particle, the characteristics being numerical coefficients each associated with one elementary image of a set of elementary images each representing a reference particle, such that a linear combination of the elementary images weighted by the coefficients approximates the representation of the target particle in the input image; (c) classifying the input image depending on the extracted vector of characteristics.
    Type: Application
    Filed: October 19, 2021
    Publication date: November 30, 2023
    Applicants: BIOMERIEUX, BIOASTER
    Inventors: Pierre MAHÉ, Meriem EL AZAMI, Elodie DEGOUT-CHARMETTE, Zohreh SEDAGHAT, Quentin JOSSO, Fabian ROL
  • Publication number: 20230313326
    Abstract: An in vitro or ex vivo method for determining the risk of complication in a patient, including a step of measuring the expression of C3AR1 in a biological sample from the patient.
    Type: Application
    Filed: July 5, 2021
    Publication date: October 5, 2023
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Publication number: 20230279492
    Abstract: The invention relates to an in vitro or ex vivo method for determining the risk of incidence of a care-related infection in a patient, including a step of measuring the expression of CIITA in a biological sample from said patient.
    Type: Application
    Filed: July 5, 2021
    Publication date: September 7, 2023
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Publication number: 20230250479
    Abstract: An in vitro or ex vivo method for determining the risk of incidence of a care-related infection includes a step of measuring the expression of CD177 in a biological sample from said patient.
    Type: Application
    Filed: July 5, 2021
    Publication date: August 10, 2023
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Publication number: 20230220477
    Abstract: An in vitro or ex vivo method for determining the risk of incidence of a healthcare-associated infection includes a step of measuring the expression of TAP2 in a biological sample from said patient.
    Type: Application
    Filed: July 5, 2021
    Publication date: July 13, 2023
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Publication number: 20230194549
    Abstract: An in vitro or ex vivo method, based on the measurement of the expression of cytokine(s), from a patient's blood sample, incubated with a stimulus, for determining the risk of occurrence of a healthcare-associated infection in the patient, within seven days following the day on which the collection of the biological sample has been performed from the patient.
    Type: Application
    Filed: April 8, 2021
    Publication date: June 22, 2023
    Applicants: BIOMÉRIEUX, BIOASTER, HOSPICES CIVILS DE LYON
    Inventors: François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Julien TEXTORIS, Fabienne VENET, Thomas RIMMELÉ
  • Publication number: 20220333201
    Abstract: An in vitro or ex vivo method for determining the risk of occurrence of a healthcare-associated infection in a patient, including a step of measuring the expression of CX3CR1, in a biological sample of said patient.
    Type: Application
    Filed: September 25, 2020
    Publication date: October 20, 2022
    Applicants: BIOMÉRIEUX, BIOASTER, HOSPICES CIVILS DE LYON
    Inventors: Laurence VACHOT, François MALLET, Guillaume MONNERET, Virginie MOUCADEL, Alexandre PACHOT, Estelle PERONNET, Thomas RIMMELÉ, Julien TEXTORIS, Fabienne VENET
  • Patent number: 11365403
    Abstract: The present invention relates to an isolated polypeptide having beta-lactamase activity and nucleic acid sequences encoding the polypeptide. The isolated polypeptide of the invention is a VIM-2 variant with improved properties such as improved protease stability, stability in intestinal medium, improved activity against one or more antibiotics, improved specific activity and/or improved production in a host cell.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: June 21, 2022
    Assignees: Da Volterra, Bioaster
    Inventors: Jean De Gunzburg, Jean-Denis Docquier
  • Publication number: 20210322988
    Abstract: The invention provides for a microfluidic droplet-based assay process and apparatus, wherein the process comprises the step of creating several assay droplets (18) containing paramagnetic particles (22, 22?), detectable markers (24), and at least one biological cell (10), wherein the paramagnetic particles (22, 22?) and the detectable markers (24) are able to bind with a target analyte (16) released by the cell, wherein the process includes storing several assay droplets along a horizontal storage plane, includes the generation of a magnetic field through the stored assay droplets, and includes detecting a physical characteristic of the detectable markers contained in a given assay droplet by optical imaging of the detectable markers, characterized in that the generation of a magnetic field generates a magnetic field such that the paramagnetic particles are attracted towards a lateral and inferior portion of the given stored assay droplet in which they are contained.
    Type: Application
    Filed: September 23, 2019
    Publication date: October 21, 2021
    Applicants: BIOMÉRIEUX, BIOASTER
    Inventors: Christophe VEDRINE, Yacine BOUNAB
  • Publication number: 20210254165
    Abstract: A method for determining in vitro or ex vivo the immune status of an individual, preferably a patient, including a step of detecting and/or quantifying the expression of one or more HERV/MaLR sequences in a biological sample of the individual. Also relates to the tools for implementing the method and to the uses thereof.
    Type: Application
    Filed: June 28, 2019
    Publication date: August 19, 2021
    Applicants: BIOMÉRIEUX, BIOASTER, HOSPICES CIVILS DE LYON
    Inventors: Marine MOMMERT, Olivier TABONE, Julien TEXTORIS, François MALLET
  • Patent number: 10988749
    Abstract: The present invention relates to an isolated polypeptide having beta-lactamase activity and nucleic acid sequences encoding the polypeptide. The isolated polypeptide of the invention is a VIM-2 variant with improved properties such as improved protease stability.
    Type: Grant
    Filed: February 22, 2017
    Date of Patent: April 27, 2021
    Assignees: DA VOLTERRA, BIOASTER
    Inventors: Jean De Gunzburg, Jean-Denis Docquier