Abstract: Embodiments of the invention provide a method and system that allows parameters of a desired target image to be determined from hyperspectral imagery of scene. The parameters may be representative of various aspects of the scene being imaged, particularly representative of physical properties of the scene. For example, in some medical imaging contexts, the property being imaged may be blood perfusion or oxygenation saturation level information per pixel. In one embodiment the parameters are obtained by collecting lower temporal and spatial resolution hyperspectral imagery, and then building a virtual hypercube of the information having a higher spatial resolution using a spatiospectral aware demosaicking process, the virtual hypercube then being used for estimation of the desired parameters at the higher spatial resolution.

Abstract: A computer-implemented method of transmitting through a disordered medium from a transmitter to a receiver an image represented as input coherent electromagnetic radiation, the disordered medium having a transmission matrix comprising a plurality of complex-valued transmission constants that relate said input coherent electromagnetic radiation to output electromagnetic radiation at said receiver, which method comprises the steps of: performing a characterising process on said disordered medium to determine said transmission matrix; using said transmitter to transmit said image through said disordered medium; performing a reconstruction process using said transmission matrix to generate a reconstructed image from the output electromagnetic radiation at said receiver; wherein in said characterisation process the step of determining said transmission matrix comprises: determining said complex-valued transmission constants as real-valued transmission constants by using an approximately linear relationship bet

Abstract: A computer-implemented method for segmenting an input image, the method comprises: generating a first segmentation of the input image using a first machine learning system, the first segmentation comprising multiple segments; receiving, from a user, at least one indication, wherein each indication corresponds to a particular segment from the multiple segments, and indicates one or more locations of the input image as belonging to that particular segment; constructing, for each segment of the multiple segments having at least one corresponding indication, a respective geodesic distance map, based on the input image and the user indications received for that segment; and generating a second segmentation using a second machine learning system based on the input image and the constructed geodesic distance maps.

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: A computer-implemented method for segmenting an input image, the method comprises: generating a first segmentation of the input image using a first machine learning system, the first segmentation comprising multiple segments; receiving, from a user, at least one indication, wherein each indication corresponds to a particular segment from the multiple segments, and indicates one or more locations of the input image as belonging to that particular segment; constructing, for each segment of the multiple segments having at least one corresponding indication, a respective geodesic distance map, based on the input image and the user indications received for that segment; and generating a second segmentation using a second machine learning system based on the input image and the constructed geodesic distance maps.

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: A method for processing images acquired by image detectors with non-uniform transfer functions and irregular spatial locations includes the steps of accumulating data from multiple images, defining an affinity graph which edges define pairs of detectors that measure related signal, performing statistical analysis on the accumulated data with respect to each pair of detectors, and solving a system of equations constructed from the results of the statistical analysis to estimate each detector transfer function, a set of solutions to the system of equations comprising a calibration of an imaging system.

Abstract: According to a first aspect, the invention relates to a method for processing images acquired by means image detectors with non-uniform transfer functions and irregular spatial locations, comprising: accumulating data from multiple images; defining an affinity graph linking individual detectors that measure related signal; performing statistical analysis on the accumulated data from the linked detectors; and solving a system constructed from the results of the statistical analysis to estimate each detector transfer function, the set of which compose a calibration of an imaging system.

Abstract: A method for processing images acquired in real time through a medical device, said images being loaded into a buffer, comprising the steps of: stopping the loading of the images into the buffer, processing loaded images using an incremental algorithm, displaying successively intermediate results of the processing, resuming the loading and stopping the processing based on an evaluation of said intermediate results.

Abstract: This invention provides a method for producing a composition comprising colloidal nanoparticles of metals including silver, gold, zinc, mercury, copper, palladium, platinum, or bismuth, by contacting a metal or metal compound with bacteria. An embodiment of the method comprises a step of incubating probiotic bacteria with an aqueous solution comprising at least 4 mM of a silver or gold salt. A resulting nanosilver-containing composition is useful as a highly efficient antimicrobial agent, for instance when impregnated onto a carrier, or an algicide agent or a herbicide agent.

Abstract: A method for mosaicing frames from a video sequence is disclosed. Each frame is constituted by a point cloud, and each point in the point cloud is potentially acquired at a different time. The method involves compensating for motion and motion distortion due to acquisition time differences in each frame, applying a global optimization of inter-frame registration to align consistently the frames, and applying a reconstruction algorithm on the registered frames to construct a mosaic.

Abstract: A method for processing images acquired in real time through a medical device, said images being loaded into a buffer, comprising the steps of: stopping the loading of the images into the buffer, processing loaded images using an incremental algorithm, displaying successively intermediate results of the processing, resuming the loading and stopping the processing based on an evaluation of said intermediate results.

Abstract: The present invention concerns a mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The invention relates to a method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, the method comprising the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimisation of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.

Abstract: A mosaicing method taking into account motion distortions, irregularly sampled frames and non-rigid deformations of the imaged tissue. The method for mosaicing frames from a video sequence acquired from a scanning device such as a scanning microscope, includes the steps of: a) compensating for motion and motion distortion due to the scanning microscope, b) applying a global optimization of inter-frame registration to align consistently the frames c) applying a construction algorithm on the registered frames to construct a mosaic, and d) applying a fine frame-to-mosaic non rigid registration. The method is based on a hierarchical framework that is able to recover a globally consistent alignment of the input frames, to compensate for the motion distortions and to capture the non-rigid deformations.