Abstract: A method for measuring a surface structure of a chip or a wafer is provided that includes obtaining an image of the surface structure of the chip, and then performing an image extraction on the image to convert the extracted image into a first circuit design file. A standard image is selected to convert into a second circuit design file, and then the standard image and at least one target in the image are compared to obtain a difference therebetween. According to the difference, at least one data of the surface structure may be made, wherein the data is selected from one of line edge roughness (LER), line width roughness (LWR), contact edge roughness (CER), critical dimension (CD), bias, 3 sigma, maximum, minimum, etc. and repeating defect.

Abstract: Disclosed embodiments are generally related to semiconductor device inspection. One such embodiment involves positioning a detector at a distance from a surface of the semiconductor device being inspected and applying an energy to the semiconductor device. In the disclosed embodiment, the detector receives back-scattered energy resulting from applying the energy to the semiconductor device and the resultant back-scattered energy is processed and analyzed to determine whether defects are beneath the surface of the semiconductor device. The magnitude of the applied energy and the distance between the detector and the surface of the semiconductor device are selected so as to allow back-scattered electrons returned from applying to be effectively received by the detector.

Abstract: A method for detecting an electrical defect of contact/via plugs is provided. In the method, the contact/via plugs are monitored by an electron-beam (E-Beam) inspection tool to capture an image with a VC (voltage contrast) difference, and then an image extraction is performed on the image with the VC difference, wherein the image extraction is based on Target gray level/back ground gray level. The extracted image is contrasted with a layout design base to obtain a blind contact or Quasi-blind issue of contact/via plugs. A grayscale value of the VC difference having the blind contact or Quasi-blind issue is compared with a determined range of grayscale value to determine whether the VC difference is abnormal.

Abstract: A method for detecting an electrical defect of contact/via plugs is provided. In the method, the contact/via plugs are monitored by an electron-beam (E-Beam) inspection tool to capture an image with a VC (voltage contrast) difference, and then an image extraction is performed on the image with the VC difference, wherein the image extraction is based on Target gray level/back ground gray level. The extracted image is contrasted with a layout design base to obtain a blind contact or Quasi-blind issue of contact/via plugs. A grayscale value of the VC difference having the blind contact or Quasi-blind issue is compared with a determined range of grayscale value to determine whether the VC difference is abnormal.

Abstract: A method for measuring a surface structure of a chip or a wafer is provided that includes obtaining an image of the surface structure of the chip, and then performing an image extraction on the image to convert the extracted image into a first circuit design file. A standard image is selected to convert into a second circuit design file, and then the standard image and at least one target in the image are compared to obtain a difference therebetween. According to the difference, at least one data of the surface structure may be made, wherein the data is selected from one of line edge roughness (LER), line width roughness (LWR), contact edge roughness (CER), critical dimension (CD), bias, 3 sigma, maximum, minimum, etc. and repeating defect.

Abstract: An image inspection method of die to database is provided, and the positions in the to-be-inspected chips within one wafer may be selected. In the method, a plurality of inspection areas in a plurality of positions in the to-be-inspected chips within a wafer are selected, a plurality of raw images of the inspection areas are obtained, and a plurality of locations of the raw images are then decoded. After that, an image extraction is performed on the raw images to obtain a plurality of image contours. Thereafter, the image contours are compared with a design database of the chip in order to obtain a result of a defect inspection, and execute the same thing in whole wafer.

Abstract: A method of predicting product yield may include determining defect characteristics for a product based at least in part on inspection data associated with critical layers of the product, determining yield loss for each of the critical layers, and estimating product yield based on the determined yield loss of the critical layers. A corresponding apparatus is also provided.

Abstract: A method of detecting manufacturing defects at a memory array may include disposing an active area of a first width in communication with a first conductive member of the memory array to define a grounded conductive member, disposing an isolation structure of a second width in communication with a second conductive member of the memory array to define a floating conductive member, and providing an alternating arrangement of floating and grounded conductive members including arranging a plurality of the grounded and floating conductive members adjacent to each other to define a sequence of alternating floating and grounded conductive members. A corresponding test device is also provided.

Abstract: A method of detecting manufacturing defects at a memory array may include disposing an active area of a first width in communication with a first conductive member of the memory array to define a grounded conductive member, disposing an isolation structure of a second width in communication with a second conductive member of the memory array to define a floating conductive member, and providing an alternating arrangement of floating and grounded conductive members including arranging a plurality of the grounded and floating conductive members adjacent to each other to define a sequence of alternating floating and grounded conductive members. A corresponding test device is also provided.

Abstract: A method of predicting product yield may include determining defect characteristics for a product based at least in part on inspection data associated with critical layers of the product, determining yield loss for each of the critical layers, and estimating product yield based on the determined yield loss of the critical layers. A corresponding apparatus is also provided.