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.

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

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 Verona integron-encoded metallo-?-lactamase (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.

Abstract: A device for acquisition of particles present in a sample includes a spatially coherent light source, an optical system, and an image sensor placed in the focal plane of the optical system. The image sensor is configured to capture an intensity image. A computational unit of the device is configured to construct a series of electromagnetic propagation matrices obtained for a plurality of defocusing offsets relative to a plane of focus of the optics. The computational unit is also configured to determine a first average focused electromagnetic matrix for the particles from the series of electromagnetic matrices, identifying at least one of the particles in the first electromagnetic matrix and storing the coordinates of said particle, and determining a second electromagnetic matrix at a distance of focus on a particle identified from the components of the series of electromagnetic matrices having the stored coordinates.

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.