An edge position detecting apparatus for detecting a position of an edge of a disk-shaped workpiece includes a chuck table having a holding surface for holding the workpiece thereon, a laser displacement gage having a laser applying unit including a light source, for applying a linear laser beam shaped into a linear shape perpendicular to a direction of travel from the light source toward the holding surface, across the edge of the workpiece, and a beam detecting unit including a plurality of photoelectric transducers arrayed at predetermined spaced intervals along a direction for detecting a reflection of the linear laser beam, a moving mechanism for moving the laser displacement gage and the chuck table relatively to each other along the longitudinal direction, and a calculating unit for calculating the position of the edge on the basis of information of a change in an amount of the detected reflection.

The present disclosure relates to a substrate transfer apparatus for transferring a substrate to a substrate processing apparatus in a reduced pressure atmosphere. The apparatus comprises a substrate holder to hold the substrate; and a substrate measurer, provided on the substrate holder, to measure a position of the substrate with respect to the substrate holder.

A method for constructing an image includes: defining a foreground area associated with an object in an original image; identifying a plurality of contour points defining a contour of the object; for each of the contour points, obtaining a reference contour point set that includes at least one reference contour point on each of two sides of the contour point; obtaining a plurality of characteristic lines, each associated with the reference contour point set and defined by an end point obtained from the contour points; and aligning the end points on one side to form a straight edge and making the characteristic lines adjoin each other side by side, so as to construct a reconstructed image.

A semiconductor apparatus includes a transfer chamber, an annealing station, a robot arm, an edge detector and a trigger device. The transfer chamber is configured to interface with an electroplating apparatus. The robot arm is arranged to transfer a wafer from the transfer chamber to the annealing station. The edge detector, disposed over a predetermined location between the transfer chamber and the annealing station, comprises a first charge-coupled device (CCD) sensor and a second CCD sensor. When the robot arm is carrying the wafer to pass through the predetermined location, the first CCD sensor and the second CCD sensor are located over a first portion and a second portion of the edge bevel removal area respectively, and the trigger device is configured to activate the first CCD sensor and the second CCD sensor to capture an image of the first portion and an image of the second portion respectively.

The present disclosure provides an electronic system with defect identification function and a method of qualifying a photoresist pattern formed using a lithography process. The electronic system includes an inspection apparatus and a processor associated with the inspection apparatus. The inspection apparatus is used for acquiring at least one image of the specimen on which a photoresist pattern is formed using a lithography process. The processor is configured to automatically apply machine learning processes implemented through one or more neural networks to identify at least one defect present in the photoresist pattern.

A first light source is directed at an outer surface of a workpiece in an inspection module. The light from the first light source that is reflected from the outer surface of the workpiece is directed to the camera via a first pathway. The light from the first light source transmitted through the workpiece is directed to the camera via a second pathway. A second light source is directed at the outer surface of the workpiece 180° from that of the first light source. The light from the second light source that is reflected from the outer surface of the workpiece is directed to the camera via the second pathway. The light from the second light source transmitted through the workpiece is directed to the camera via the first pathway.

A method of inspection or metrology of four sides of a sample is disclosed. The method includes providing samples in a carrier at a first side of an imaging tool and moving the samples from the carrier to the imaging tool via a pick-and-place stage assembly. The method includes imaging first and second sides of the samples via first and second channels of the imaging tool and returning the samples to the carrier. The method includes rotating the carrier by 90 degrees and translating the carrier to an opposite side of the imaging tool and moving the samples individually from the carrier to the imaging tool. The method includes imaging a third and fourth side of the sample via the first and second channel of the imaging tool and returning the one or more samples from the imaging tool to the carrier.

An edge portion measuring apparatus for measuring shape of an edge portion of a wafer, including, a holding portion that holds the wafer, a rotating means for rotating the wafer, a sensor including a light projecting portion for projecting a laser light from a light source onto the edge portion of the wafer held by the holding portion, and a light receiving detection unit receiving diffuse reflected light that the laser light projected is reflected at the edge portion of the wafer, wherein, rotating the wafer while holding the wafer, at least in a range from normal direction of a held surface of the wafer to normal direction of a surface opposite to the held surface, projecting the laser light and detecting the diffuse reflected light by the sensor, being able to measure the shape of an entire area of the edge portion of the wafer by a triangulation method.

An automatic detection method and an automatic detection system for detecting any crack on wafer edges are provided. The automatic detection method includes the following steps. Several wafer images of several wafers are obtained. The wafer images are integrated to create a templet image. Each of the wafer images is compared with the templet image to obtain a differential image. Each of the differential images is binarized. Each of the differential images which are binarized is de-noised. Whether each of the differential images has an edge crack is detected according to pattern of each of the differential images which are de-noised.

A substrate processing apparatus 1 is configured to supply a processing liquid to a peripheral portion of a wafer W being rotated. The substrate processing apparatus 1 includes a rotating/holding unit 21 configured to rotate and hold the wafer W; a processing liquid discharging unit 73 configured to discharge the processing liquid toward the peripheral portion of the wafer W held by the rotating/holding unit 21; a variation acquiring unit configured to acquire information upon a variation amount of a deformation of the peripheral portion of the wafer W; and a discharge controller 7 configured to control a discharge angle and a discharge position of the processing liquid from the processing liquid discharging unit 73 onto the peripheral portion based on the information upon the variation amount of the deformation of the peripheral portion acquired by the variation acquiring unit.