Abstract:
A semiconductor inspection tool system is disclosed. The system comprises a first illumination setup for generating at least one first illumination radiation and for directing the at least one first illumination radiation to at least one bonding region non-filled volume formed between two layers of a multi-layer stack. The system also comprises a second illumination setup being for generating at least one second illumination radiation and for directing the at least one second illumination radiation at multi-layer stack edges. The second illumination radiation is configured for illuminating at least a normal edge of at least two layers, the second illumination setup has different radiation parameters than the first illumination setup. The system further includes a bonding region sensor unit for collecting reflected electromagnetic radiation from a bonding region volume and generating at least one sensing data being indicative of the bonding region.
Abstract:
A semiconductor inspection tool system is disclosed. The system comprises a first illumination setup for generating at least one first illumination radiation and for directing the at least one first illumination radiation to at least one bonding region non-filled volume formed between two layers of a multi-layer stack. The system also comprises a second illumination setup being for generating at least one second illumination radiation and for directing the at least one second illumination radiation at multi-layer stack edges. The second illumination radiation is configured for illuminating at least a normal edge of at least two layers, the second illumination setup has different radiation parameters than the first illumination setup. The system further includes a bonding region sensor unit for collecting reflected electromagnetic radiation from a bonding region volume and generating at least one sensing data being indicative of the bonding region.
Abstract:
A method for automatic defect classification, the method may include (i) acquiring, by a first camera, at least one first image of at least one area of an object; (ii) processing the at least one first image to detect a group of suspected defects within the at least one area; (iii) performing a first classification process for initially classifying the group of suspected defects; (iii) determining whether a first subgroup of the suspected defects requires additional information from a second camera for a completion of a classification; (iv) when determining that the first subgroup of the suspected defects requires additional information from the second camera then: (a) acquiring second images, by the second camera, of the first subgroup of the suspected defects; and (b) performing a second classification process for classifying the first subgroup of suspected defects.
Abstract:
The present disclosure provides method and system 100 for classifying defects in wafer using wafer defect images, based on deep learning network. Embodiments herein uses synergy between several modalities of the wafer defect images for the classification decision. Further, by adding a mixture of modalities, information may be obtained from different sources such as color image, ICI, the black and white image, to classify the defect image. In addition to mixture of modalities, a reference image may be used for each modality. The reference image of each modality image is provided to deep learning models to concentrate on the defect itself and not on the related underlying lithography of the defect image. Further, the reference image may be provided to the training process of the deep learning models that may significantly reduce the number of labelled images and the training epochs required for convergence of the deep learning model.
Abstract:
There may be provided a method for evaluating an object, that may include evaluating a region of the object by a first evaluation module to provide first evaluation results that are related to multiple sites of the region; finding, using a mapping between values of first evaluation results and values of second evaluation results, (a) a first site of the multiple sites that does not require an evaluation by a second evaluation module, and (b) a second site of the multiple sites that requires an evaluation by the second evaluation module; wherein the second evaluation module is more reliable than the first evaluation module; evaluating the second site by the second evaluation module to provide second evaluation results of the second sites; estimating, based on first evaluation results of the first site and on the mapping, a state of the first site; and providing an evaluation of the region based on the state of the first site, and on the second evaluation result of the second site.
Abstract:
An inspection system for inspecting a semiconductor substrate, the inspection system may include an inspection unit that comprises a partially blocking bright field unit and a non-blocking bright field unit; wherein the partially blocking bright field unit is configured to block any specular reflection that fulfills the following: (a) the specular reflection is caused by illuminating, along a first axis, of an area of the wafer, (b) the specular reflection propagates along a second axis, (c) the first axis and the second axis are symmetrical about a normal to the area of the wafer, and (d) the normal is parallel to an optical axis of the partially blocking bright field unit; and wherein the non-blocking bright field unit is configured to pass to the image plane any specular reflection that fulfills the following: (a) the specular reflection is caused by illuminating, along the first axis, of an area of the wafer, (b) the specular reflection propagates along the second axis, (c) the first axis and the second axis are symmetrical about the normal, and (d) the normal is parallel to the optical axis of the partially blocking bright field unit.
Abstract:
An inspection system having an expanded angular coverage, the inspection system may include a line camera; a first curved mirror; a second curved mirror; a first focusing lens that is positioned between the first mirror and an object; a second focusing lens that is positioned between the second mirror and the object; a first light source that is configured to direct a first part of a first light beam towards the first curved mirror and a second part of the first light beam towards the first focusing lens; a second light source that is configured to direct a first part of a second light beam towards the second curved mirror and a second part of the second light beam towards the second focusing lens.
Abstract:
An inspection system having an expanded angular coverage, the inspection system may include a line camera; a first curved mirror; a second curved mirror; a first focusing lens that is positioned between the first mirror and an object; a second focusing lens that is positioned between the second mirror and the object; a first light source that is configured to direct a first part of a first light beam towards the first curved mirror and a second part of the first light beam towards the first focusing lens; a second light source that is configured to direct a first part of a second light beam towards the second curved mirror and a second part of the second light beam towards the second focusing lens.
Abstract:
A method for inspecting a wafer and a system. The system includes: a chuck; and a robot that includes a movable element connected to a detachable adaptor selected from a group of diced wafer detachable adaptors and non-diced wafer detachable adaptors; wherein a diced wafer detachable adaptor is shaped such to partially surround the diced wafer and comprises at least one vacuum groove adapted to apply vacuum on a tape that supports the diced wafer; and wherein the robot is adapted to fetch the wafer from a cassette and to place the wafer on the chuck.
Abstract:
A method for inspecting a wafer and a system. The system includes: a chuck; and a robot that includes a movable element connected to a detachable adaptor selected from a group of diced wafer detachable adaptors and non-diced wafer detachable adaptors; wherein a diced wafer detachable adaptor is shaped such to partially surround the diced wafer and comprises at least one vacuum groove adapted to apply vacuum on a tape that supports the diced wafer; and wherein the robot is adapted to fetch the wafer from a cassette and to place the wafer on the chuck.