Abstract: A method and system for determining a location of artefacts and/or inclusions in a gemstone, mineral or sample thereof, the method comprising: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and/or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

Abstract: A method and system for determining a location of artefacts and/or inclusions in a gemstone, mineral or sample thereof, the method comprising the steps of: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and/or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

Abstract: A method and system for determining a location of artefacts and/or inclusions in a gemstone, mineral or sample thereof, the method comprising the steps of: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and/or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

Abstract: Provided are improved referenceless multi-material beam hardening correction methods, with an emphasis on maintaining data quality for real-world imaging of geologic materials with a view towards automation. A referenceless post reconstruction (RPC) correction technique is provided that applies the corrections in integrated attenuation space. A container-only pre-correction technique also is provided to allow automation of the segmentation process required for beam hardening correction methods.

Abstract: A dynamic network is disclosed herein. The dynamic network can include a central server, one or several user devices, one or several remote servers, and a database server. The dynamic network can be created in response to a user request for content to be used in a compilation. The central server can identify one or several of the remote servers as potentially containing the requested content, and can communicate with the identified one or several of the remote servers to receive that content. Additionally, the server can identify and connect with one or several servers containing terms of use information for the requested content.

Abstract: A method for processing image data of a sample is disclosed. The method comprises registering a first and a second images of at least partially overlapping spatial regions of the sample and processing data from the registered images to obtain integrated image data comprising information about the sample, said information being additional to that available from said first and second images.

Abstract: A dynamic network is disclosed herein. The dynamic network can include a central server, one or several user devices, one or several remote servers, and a database server. The dynamic network can be created in response to a user request for content to be used in a compilation. The central server can identify one or several of the remote servers as potentially containing the requested content, and can communicate with the identified one or several of the remote servers to receive that content. Additionally, the server can identify and connect with one or several servers containing terms of use information for the requested content.

Abstract: Provided are improved referenceless multi-material beam hardening correction methods, with an emphasis on maintaining data quality for real-world imaging of geologic materials with a view towards automation. A referenceless post reconstruction (RPC) correction technique is provided that applies the corrections in integrated attenuation space. A container-only pre-correction technique also is provided to allow automation of the segmentation process required for beam hardening correction methods.

Abstract: A dynamic network is disclosed herein. The dynamic network can include a central server, one or several user devices, one or several remote servers, and a database server. The dynamic network can be created in response to a user request for content to be used in a compilation. The central server can identify one or several of the remote servers as potentially containing the requested content, and can communicate with the identified one or several of the remote servers to receive that content. Additionally, the server can identify and connect with one or several servers containing terms of use information for the requested content.

Abstract: A dynamic network is disclosed herein. The dynamic network can include a central server, one or several user devices, one or several remote servers, and a database server. The dynamic network can be created in response to a user request for content to be used in a compilation. The central server can identify one or several of the remote servers as potentially containing the requested content, and can communicate with the identified one or several of the remote servers to receive that content. Additionally, the server can identify and connect with one or several servers containing terms of use information for the requested content.

Abstract: A computed tomography imaging process, including: acquiring projection images of an object by detecting radiation that has passed through the object for respective different relative orientations of the object and the radiation; and processing the projection images to generate a tomogram of the object; wherein the radiation passes through the object in the form of a diverging beam, and the different relative orientations of the object and the beam of radiation define two or more complete trajectories of the beam along the object, the complete trajectories being mutually offset to reduce the degradation of spatial resolution in portions of the generated tomogram due to the divergence of the beam through the object.

Abstract: Disclosed is a method of reconstructing a multi-dimensional data set representing a dynamic sample at a series of reconstruction instants. The multi-dimensional data set comprises a static component and a dynamic component. The method comprises acquiring a plurality of projection images of the dynamic sample; reconstructing a static component of the multi-dimensional data set from the acquired projection images; acquiring a further plurality of projection images of the dynamic sample; and reconstructing a dynamic component of the multi-dimensional data set at each reconstruction instant from the further plurality of acquired projection images using a priori information about the sample. The multi-dimensional data set is the sum of the static component and the dynamic component at each reconstruction instant.