Phase Focus Limited

Kevin Langley

James Russell

Martin James Humphry

Andrew Maiden

Matthew Stagg

Andrew Michael Maiden

There is provided a computer-implemented method and apparatus for determining temporal behaviour of an object. The method comprises receiving track data indicative of a plurality of tracks. Each track identifies an association between features corresponding to an object in each of a plurality of images forming image data representative of one or more objects. The method further comprises identifying, in at least some of the plurality of tracks, one or more faults, wherein each fault is associated with at least one respective fault image of the image data. The method further comprises iteratively performing a correction process on the track data. The correction process comprises selecting one of the plurality of tracks having a fault identified therein; determining one or more candidate features in each respective fault image, wherein each candidate feature is determined as a candidate for correcting at least one fault associated with one or more of the plurality of tracks; determining one or more candidate corrections for the selected track, wherein at least some of the candidate corrections are associated with one or more of the candidate features; selecting one of the candidate corrections for the selected track in dependence on a metric indicative of an effect of the candidate correction on the plurality of tracks; and applying the selected candidate correction to the selected track in dependence on one or more criteria.

Method and apparatus for tracking an object

Embodiments of the present invention provide a computer-implemented method of determining temporal behaviour of an object, comprising receiving image data comprising data representing a plurality of images, at least some of the images comprising one or more cells, determining a plurality of characteristics of at least one feature in each of one or more of the plurality of images, determining a confidence value representing a confidence that one of the cells in a first one of the plurality of images corresponds to a feature in a second one of the plurality images, wherein the confidence value is based upon the characteristics of the feature in the second image and the characteristics of the cell, and identifying the cell in the second one of the plurality of images based upon the confidence value.

Method and apparatus for determining temporal behaviour of an object in image data

Embodiments of the invention provide a method of determining one or more characteristics of a target object, comprising recording one or more diffraction patterns at a detector, wherein each diffraction pattern is formed by a target object scattering incident radiation, determining a phase map for at least a region of the target object based on the one or more diffraction patterns, and determining a refractive property of the target object based on the phase map.

Method and apparatus for determining object characteristics

Embodiments of the invention provide a method of determining one or more characteristics of a target object, comprising determining a first phase map for at least a region of a target object based on radiation directed toward the target object, determining one or more further phase maps for a sub-region of the region of the target object, determining a number of phase wraps for the sub-region based on a plurality of phase maps for the sub-region, and determining a characteristic of the region of the target object based on the number of phase wraps for sub-region and the first phase map. Embodiments of the invention also relate to a method of determining one or more characteristics of a target object, comprising determining a phase map for at least a region of a target object based on one or more diffraction patterns, determining a wavefront at a plane of the object based upon the phase map, and determining a refractive property of the object based on the wavefront.

Growing community of inventors

Sheffield, United Kingdom

Kevin Langley