Abstract: The present invention relates to a stereo eye tracking technique. The eye tracking device comprises a processing unit configured and operable for receiving at least one image being indicative of a user's eye; identifying in the image a first data being indicative of pupil's parameters; receiving a second data being indicative of an alternative eye tracking, wherein the second data is more accurate than the first data; and correlating between the first and second data and determining a three-dimensional position and gaze direction of the user's eye.

Abstract: The presently disclosed subject matter relates to an eye tracking method and device. The method can include receiving image data indicative of at least two images of a user's eye, identifying, in each image, regions related to the eye limbus; determining geometrical representation of the limbus structure, and determining a three-dimensional position and gaze direction of the user's eye (i.e. full six degrees of freedom of the eye) by triangulation of the geometrical representation of the limbus structure of at least two images.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A Critical Dimensions Scanning Electron Microscope (CD-SEM) is described that comprises a unit for performing CD-SEM measurements of a semiconductor wafer, a BSE imaging unit for obtaining a Grey Level image (GL) of the wafer, and a unit for GL analysis and for processing the GL analysis results with reference to results of the CD-measurements.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A Critical Dimensions Scanning Electron Microscope (CD-SEM) is described that comprises a unit for performing CD-SEM measurements of a semiconductor wafer, a BSE imaging unit for obtaining a Grey Level image (GL) of the wafer, and a unit for GL analysis and for processing the GL analysis results with reference to results of the CD-measurements.

Abstract: A technique for visualizing elements in images by applying a color coding procedure to data which comprises an initial image and segmentation results based on N labels. The segmentation results comprise information on segmentation uncertainty. The color coding procedure constructs a resulting colored image based on the initial image and N pre-selected base colors, and in such a manner that colors in the resulting colored image are modified by using intensity of the initial image and the information on segmentation uncertainty.

Abstract: A technique for visualizing elements in images by applying a color coding procedure to data which comprises an initial image and segmentation results based on N labels. The segmentation results comprise information on segmentation uncertainty. The color coding procedure constructs a resulting colored image based on the initial image and N pre-selected base colors, and in such a manner that colors in the resulting colored image are modified by using intensity of the initial image and the information on segmentation uncertainty.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A method for determining overlay between layers of a multilayer structure may include obtaining a given image representing the multilayer structure, obtaining expected images for layers of the multilayer structure, providing a combined expected image of the multilayer structure as a combination of the expected images of said layers, performing registration of the given image against the combined expected image, and providing segmentation of the given image, thereby producing a segmented image, and maps of the layers of said multilayered structure. The method may further include determining overlay between any two selected layers of the multilayer structure by processing the maps of the two selected layers together with the expected images of said two selected layers.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.

Abstract: A method includes irradiating a surface of a sample, which is made-up of multiple types of materials, with a beam of primary electrons. Emitted electrons emitted from the irradiated sample are detected using multiple detectors that are positioned at respective different positions relative to the sample, so as to produce respective detector outputs. Calibration factors are computed to compensate for variations in emitted electron yield among the types of the materials, by identifying, for each material type, one or more horizontal regions on the surface that are made-up of the material type, and computing a calibration factor for the material type based on at least one of the detector outputs at the identified horizontal regions. The calibration factors are applied to the detector outputs. A three-dimensional topographical model of the surface is calculated based on the detector outputs to which the calibration factors are applied.