Abstract: A method and system for mapping fluid objects on a. substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: An apparatus for manipulating an object includes first and second gesture controllers, each operatively connected to the object and structured and programmed such that, in a first-action active state, each can causes a first action to be carried out on the object by an appropriate first-action gesture made in the gesture controller. Only one of the first and second gesture controllers at any given time is capable of being in the first-action active state, and the first-action active state is transferable between the first and second gesture controllers upon the detecting of a first-action transfer gesture by one of said first gesture controller and said second gesture controller. Specific gesture control apparatus and methods for manipulating an object are also disclosed.

Abstract: Systems, methods, and computer-readable media for feedback on and improving the accuracy of super-resolution imaging. In some embodiments, a low resolution image of a specimen can be obtained using a low resolution objective of a microscopy inspection system. A super-resolution image of at least a portion of the specimen can be generated from the low resolution image of the specimen using a super-resolution image simulation. Subsequently, an accuracy assessment of the super-resolution image can be identified based on one or more degrees of equivalence between the super-resolution image and one or more actually scanned high resolution images of at least a portion of one or more related specimens identified using a simulated image classifier. Based on the accuracy assessment of the super-resolution image, it can be determined whether to further process the super-resolution image. The super-resolution image can be further processed if it is determined to further process the super-resolution image.

Abstract: A method and system for mapping fluid objects on a substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: Systems, methods, and computer-readable media for feedback on and improving the accuracy of super-resolution imaging. In some embodiments, a low resolution image of a specimen can be obtained using a low resolution objective of a microscopy inspection system. A super-resolution image of at least a portion of the specimen can be generated from the low resolution image of the specimen using a super-resolution image simulation. Subsequently, an accuracy assessment of the super-resolution image can be identified based on one or more degrees of equivalence between the super-resolution image and one or more actually scanned high resolution images of at least a portion of one or more related specimens identified using a simulated image classifier. Based on the accuracy assessment of the super-resolution image, it can be determined whether to further process the super-resolution image. The super-resolution image can be further processed if it is determined to further process the super-resolution image.

Abstract: A microscope system and method allow for a desired x?-direction scanning along a specimen to be angularly offset from an x-direction of the XY translation stage, and rotates an image sensor associated with the microscope to place the pixel rows of the image sensor substantially parallel to the desired x?-direction. The angle of offset of the x?-direction relative to the x-direction is determined and the XY translation stage is employed to move the specimen relative to the image sensor to different positions along the desired x?-direction without a substantial shift of the image sensor relative to the specimen in a y?-direction, the y?-direction being orthogonal to the x? direction of the specimen. The movement is based on the angle of offset.

Abstract: An apparatus for manipulating an object includes first and second gesture controllers, each operatively connected to the object and structured and programmed such that, in a first-action active state, each can causes a first action to be carried out on the object by an appropriate first-action gesture made in the gesture controller. Only one of the first and second gesture controllers at any given time is capable of being in the first-action active state, and the first-action active state is transferable between the first and second gesture controllers upon the detecting of a first-action transfer gesture by one of said first gesture controller and said second gesture controller. Specific gesture control apparatus and methods for manipulating an object are also disclosed.

Abstract: An automatic focus system for an optical microscope that facilitates faster focusing by using at least two offset focusing cameras. Each offset focusing camera can be positioned on a different side of an image forming conjugate plane so that their sharpness curves intersect at the image forming conjugate plane. Focus of a specimen can be adjusted by using sharpness values determined from images taken by the offset focusing cameras.

Abstract: A fluorescence microscopy inspection system includes light sources able to emit light that causes a specimen to fluoresce and light that does not cause a specimen to fluoresce. The emitted light is directed through one or more filters and objective channels towards a specimen. A ring of lights projects light at the specimen at an oblique angle through a darkfield channel. One of the filters may modify the light to match a predetermined bandgap energy associated with the specimen and another filter may filter wavelengths of light reflected from the specimen and to a camera. The camera may produce an image from the received light and specimen classification and feature analysis may be performed on the image.

Abstract: The disclosed technology relates to an inspection apparatus that includes a stage configured to retain a specimen for inspection, an imaging device having a field of view encompassing at least a portion of the stage to view a specimen retained on the stage, a lens having a view encompassing the specimen retained on the stage, and a plurality of lights disposed on a moveable platform. The inspection apparatus can further include a control module configured to control a position of the stage, an elevation of the moveable platform, and a focus of the lens. In some implementations, the inspection apparatus includes an image processing system configured for receiving image data from the imaging device, analyzing the image data to determine a specimen classification, and automatically selecting an illumination profile based on the specimen classification. Methods and machine-readable media are also contemplated.

Abstract: Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and/or electrical properties.

Abstract: An automatic focus system for an optical microscope that facilitates faster focusing by using at least two cameras. The first camera can be positioned in a first image forming conjugate plane and receives light from a first illumination source that transmits light in a first wavelength range. The second camera can be positioned at an offset distance from the first image forming conjugate plane and receives light from a second illumination source that transmits light in a second wavelength range.

Abstract: A method for altering the intensity of light across the field of view of an image sensor in a microscope apparatus having a light source, an image sensor having pixels, and a specimen stage, wherein light from the light source travels along a light path to the specimen stage and then to the image sensor includes interposing a programmable spatial light modulator, pSLM, in the light path between the light source and the image sensor, the pSLM having a plurality of pixels; and modulating the intensity of light passing through one or more pixels of the plurality of pixels of the pSLM to produce an altered illumination landscape at the field of view of the image sensor that differs from an unaltered illumination landscape that would otherwise be produced at the image sensor. Vignetting can be specifically addressed.

Abstract: A method and system for mapping fluid objects on a substrate using a microscope inspection system that includes a light source, imaging device, stage for moving a substrate disposed on the stage, and a control module. A computer analysis system includes an object identification module that identifies for each of the objects on the substrate, an object position on the substrate including a set of X, Y, and ? coordinates using algorithms, networks, machines and systems including artificial intelligence and image processing algorithms. At least one of the objects is fluid and has shifted from a prior position or deformed from a prior size.

Abstract: Aspects of the disclosed technology provide an Artificial Intelligence Process Control (AIPC) for automatically detecting errors in a manufacturing workflow of an assembly line process, and performing error mitigation through the update of instructions or guidance given to assembly operators at various stations. In some implementations, the disclosed technology utilizes one or more machine-learning models to perform error detection and/or propagate instructions/assembly modifications necessary to rectify detected errors or to improve the product of manufacture.

Abstract: Systems, methods, and computer-readable media for feedback on and improving the accuracy of super-resolution imaging. In some embodiments, a low resolution image of a specimen can be obtained using a low resolution objective of a microscopy inspection system. A super-resolution image of at least a portion of the specimen can be generated from the low resolution image of the specimen using a super-resolution image simulation. Subsequently, an accuracy assessment of the super-resolution image can be identified based on one or more degrees of equivalence between the super-resolution image and one or more actually scanned high resolution images of at least a portion of one or more related specimens identified using a simulated image classifier. Based on the accuracy assessment of the super-resolution image, it can be determined whether to further process the super-resolution image. The super-resolution image can be further processed if it is determined to further process the super-resolution image.

Abstract: A process is provided for imaging a surface of a specimen with an imaging system that employs a BD objective having a darkfield channel and a bright field channel, the BD objective having a circumference. The specimen is obliquely illuminated through the darkfield channel with a first arced illuminating light that obliquely illuminates the specimen through a first arc of the circumference. The first arced illuminating light reflecting off of the surface of the specimen is recorded as a first image of the specimen from the first arced illuminating light reflecting off the surface of the specimen, and a processor generates a 3D topography of the specimen by processing the first image through a topographical imaging technique. Imaging apparatus is also provided as are further process steps for other embodiments.

Abstract: A microscope system and method allow for a desired x?-direction scanning along a specimen to be angularly offset from an x-direction of the XY translation stage, and rotates an image sensor associated with the microscope to place the pixel rows of the image sensor substantially parallel to the desired x?-direction. The angle of offset of the x?-direction relative to the x-direction is determined and the XY translation stage is employed to move the specimen relative to the image sensor to different positions along the desired x?-direction without a substantial shift of the image sensor relative to the specimen in a y?-direction, the y?-direction being orthogonal to the x? direction of the specimen. The movement is based on the angle of offset.

Abstract: Systems, devices, and methods for combined wafer and photomask inspection are provided. In some embodiments, chucks are provided, the chucks comprising: a removable insert, wherein the removable insert is configured to support a wafer so that an examination surface of the wafer lies within a focal range when the chuck is in a first configuration, wherein the removable insert is inserted into the chuck in the first configuration; and a first structure forming a recess that has a depth sufficient to support a photomask so that an examination surface of the photomask lies within the focal range when the chuck is in a second configuration, wherein the removable insert is not inserted into the chuck in the second configuration.

Abstract: An automatic focus system for an optical microscope that facilitates faster focusing by using at least two cameras. The first camera can be positioned in a first image forming conjugate plane and receives light from a first illumination source that transmits light in a first wavelength range. The second camera can be positioned at an offset distance from the first image forming conjugate plane and receives light from a second illumination source that transmits light in a second wavelength range.