A method of image-based analysis of multiple samples includes using a sample holder having multiple locations of interest and multiple focal structures that are each associated, one or more, with the multiple locations of interest, wherein the multiple samples are dispersed across the multiple locations of interest and obtaining image areas of the multiple locations of interest. Multiple digital image areas are thus obtained for use in an analysis of the multiple samples with each of the image areas including at least one of the locations of interest and at least one of the focal structures. An image processing algorithm is used to analyse each of the digital image areas and check if the focal structure indicates that the image area is in clear focus. An indication is provided and/or remedial action is taken if the image processing algorithm indicates that any digital image areas are out of focus.

Metrology tools and methods are provided, which estimate the effect of topographic phases corresponding to different diffraction orders, which result from light scattering on periodic targets, and adjust the measurement conditions to improve measurement accuracy. In imaging, overlay error magnification may be reduced by choosing appropriate measurement conditions based on analysis of contrast function behavior, changing illumination conditions (reducing spectrum width and illumination NA), using polarizing targets and/or optical systems, using multiple defocusing positions etc. On-the-fly calibration of measurement results may be carried out in imaging or scatterometry using additional measurements or additional target cells.

Metrology tools and methods are provided, which estimate the effect of topographic phases corresponding to different diffraction orders, which result from light scattering on periodic targets, and adjust the measurement conditions to improve measurement accuracy. In imaging, overlay error magnification may be reduced by choosing appropriate measurement conditions based on analysis of contrast function behavior, changing illumination conditions (reducing spectrum width and illumination NA), using polarizing targets and/or optical systems, using multiple defocusing positions etc. On-the-fly calibration of measurement results may be carried out in imaging or scatterometry using additional measurements or additional target cells.

The present invention provides a laminated body assembly kit with which two substrates can be easily aligned even when, for example, facing surfaces thereof have high-density pattern portions. A laminated body assembly kit with an alignment function of the present invention includes a first substrate 10 and a second substrate 20 that are to be laminated together. The first substrate 10 has a lens portion 11 on a surface thereof opposite to a facing surface thereof that faces the second substrate 20. The second substrate 20 has an alignment mark portion 21 on at least one surface thereof. The first substrate 10 and the second substrate 20 respectively have the lens portion 11 and the alignment mark portion 21 such that, in a set laminated state, the alignment mark portion 21 of the second substrate 20 is located at a focal position of the lens portion of the first substrate 10. An image of the alignment mark portion 21 that is formed in the lens portion 11 in the set laminated state is an image indicating that the set laminated state has been achieved.

The video display system includes a marker, a first polarizing filter, a video display device, and an amount-of-change calculation unit. The video display device includes a camera, a display unit, and a second polarizing filter. The first polarizing filter is arranged to correspond to the marker. The camera captures the marker. The second polarizing filter is arranged to correspond to the display unit, and has polarization characteristics contrary to the first polarizing filter. The amount-of-change calculation unit calculates an amount of change between a first image acquired in a first attitude and a second image acquired in a second attitude by the camera, and calculates an amount of change in attitude in accordance with the amount of change between the first image and the second image.

A display assembly of a head mounted display (HMD) includes a pancake lens display assembly. The pancake display assembly comprises a first lens with a quarter-waveplate and a partially reflective surface, a second lens with a reflective polarizer, and a display. An alignment system positions the first lens relative to the second lens to align the reflective polarizer of the second lens with the quarter-waveplate of the first lens. The alignment system rotates the first lens about an optical axis to position the quarter-waveplate on the first lens such that the quarter-waveplate and the reflective polarizer on the second lens are at an angle where light transmitted through the second lens and then through the first lens is substantially circularly polarized. The alignment system mounts the second lens to the lens housing such that the quarter-waveplate is at the angle relative to the reflective polarizer.

Systems, devices, and methods for aligning a diffractive element in a wearable heads-up display (“WHUD”) are described. A WHUD that includes a projector, a transparent combiner, a WHUD frame, and a diffractive optical element (DOE) embedded in the transparent combiner, requires alignment between the DOE and the eye of the user and/or the projector. A WHUD includes a DOE aligned with an eye of a user when the WHUD is worn on the head of the user. A method of aligning a DOE in a WHUD with an eye of a user when the WHUD is worn on a head of a user includes aligning a first part of the WHUD frame with a first part of the face of the user, and aligning the DOE with a second part of the WHUD frame.

Systems, devices, and methods for aligning a diffractive element in a wearable heads-up display (“WHUD”) are described. A WHUD that includes a projector, a transparent combiner, a WHUD frame, and a diffractive optical element (DOE) embedded in the transparent combiner, requires alignment between the DOE and the eye of the user and/or the projector. A WHUD includes a DOE aligned with an eye of a user when the WHUD is worn on the head of the user. A method of aligning a DOE in a WHUD with an eye of a user when the WHUD is worn on a head of a user includes aligning a first part of the WHUD frame with a first part of the face of the user, and aligning the DOE with a second part of the WHUD frame.

The techniques described herein enable a head-mounted display device to use a fiducial marker to identify an Internet of Things (IoT) device. The head-mounted display device can use the identifier to establish a network connection with the IoT device. For example, the identifier can include an Internet Protocol (IP) address, a Bluetooth address, a cloud IoT identifier (e.g., AZURE hub IoT identifier), or another type of an identifier. By using an electronic paper display, the IoT device can dynamically generate and display a new fiducial marker when a new identifier is assigned to the IoT device or is generated by the IoT device. Consequently, the head-mounted display device can detect the fiducial marker and extract the identifier for the IoT device from the fiducial marker so that the identifier can be used to establish a network connection with the IoT device.

The techniques described herein enable a head-mounted display device to use a fiducial marker to identify an Internet of Things (IoT) device. The head-mounted display device can use the identifier to establish a network connection with the IoT device. For example, the identifier can include an Internet Protocol (IP) address, a Bluetooth address, a cloud IoT identifier (e.g., AZURE hub IoT identifier), or another type of an identifier. By using an electronic paper display, the IoT device can dynamically generate and display a new fiducial marker when a new identifier is assigned to the IoT device or is generated by the IoT device. Consequently, the head-mounted display device can detect the fiducial marker and extract the identifier for the IoT device from the fiducial marker so that the identifier can be used to establish a network connection with the IoT device.