Abstract:
The purpose of the present invention is to easily extract, from samples to be observed, defect candidates that can be labeled as a defect or “nuisance” (a part for which a manufacturing tolerance or the like is erroneously detected) and to allow parameters pertaining to observation processing to be easily adjusted. This defect observation method comprises: an imaging step to image, on the basis of defect information from an inspection device, an object to be inspected and obtain a defect image and a reference image corresponding to the defect image; a parameter determining step to determine a first parameter to be used in the defect extraction by using a first feature set distribution acquired from the reference image and the defect image captured in the imaging step and a second feature net distribution acquired from the reference image; and an observing step to observe using the first parameter determined in the parameter determining step. The present invention can be applied to a method of observing defects generated during the manufacturing of semiconductor wafers.
Abstract:
Cases in which defects are analyzed in a manufacturing process stage in which a pattern is not formed or in a manufacturing process in which a pattern formed on a lower layer does not appear in the captured image are increasing. However, in these cases, there is a problem of not being able to synthesize a favorable reference image and failing to detect a defect when a periodic pattern cannot be recognized in the pattern. In the present invention, a defect occupation rate, which is the percentage of an image being inspected occupied by a defect region, is found, it is determined whether the defect occupation rate is higher or lower than a threshold, and, in accordance with the determination results, it is determined whether to create, as the reference image, an image comprising pixels having the average luminance value of the luminance values of a plurality of pixels contained in the image being inspected. In particular, when the defect occupation rate is low, an image comprising pixels having the average luminance value of the luminance values of a plurality of pixels contained in the image being inspected is used as the reference image.
Abstract:
A candidate-defect classification method, including acquiring a scanning electron microscope image of a candidate defect detected on a sample including a pattern; computing a feature value of the candidate defect by processing the image; executing defect classification of the candidate defect as a pattern shape defect or another defect, by using the computed feature value; acquiring positional information contained in design data of the pattern regarding the candidate defect; and extracting a systematic defect from candidate defects classified as pattern shape defects, by comparing the positional information contained in the design data of the acquired candidate defect to positional information of a portion having a high probability of causing pattern formation failure, and that has been obtained from the design data of the pattern, or a systematic defect caused due to a layout shape of the pattern, or properties of a processor for forming the pattern.
Abstract:
In a pattern inspection of a semiconductor circuit, to specify a cause of a process defect, not only a distribution on and across wafer of the number of defects but also more detailed, that is, the fact that how many defects occurred where on the semiconductor pattern is needed to be specified in some cases. Accordingly, the present invention aims to provide an apparatus capable of easily specifying a cause of a process defect based upon a positional relationship of a distribution of defect occurrence frequency and a pattern. The apparatus includes: a charged particle beam optical system for detecting secondary charged particles by irradiating the charged particle beam to the sample; an image processing unit for, based upon a plurality of images to be inspected that are obtained by the secondary charged particles, obtaining an occurrence frequency of defect candidates for each of predetermined regions inside the detected image; and a display unit for displaying the distribution of the occurrence frequency of the defect candidates so that a positional relationship to the pattern is recognized.
Abstract:
A method for measuring overlay at a semiconductor device on which circuit patterns are formed by a plurality of exposure processes is characterized in including an image capturing step for capturing images of a plurality of areas of the semiconductor device, a reference image setting step for setting a reference image based on a plurality of the images captured in the image capturing step, a difference quantifying step for quantifying a difference between the reference image set in the reference image setting step and the plurality of images captured in the image capturing step, and an overlay calculating step for calculating the overlay based on the difference quantified in the difference quantifying step.
Abstract:
Conventionally, there was no method for automatically selecting the layers to be overlaid, so when the number of layers to be overlaid was large, there was a problem that much time was required for selecting the layers. It is an object of the present invention to provide a defect image analysis method capable of specifying patterns and layers in which a defect occurs by overlaying defect images to be analysis targets and design layout data, and a defect image analysis system capable of improving the efficiency to select the layers from the design layout data. The present invention is characterized in dividing analysis target images for each hierarchy corresponding to a manufacturing process and generating a plurality of layers; calculating a degree of matching between each of the layer division images and each design layer of the design layout data; and specifying a design layer with a highest degree of matching of the each design layer as a design layer corresponding to the layer division image.
Abstract:
The present invention provides a charged-particle radiation apparatus with a defect observation device for observing defects on a sample, the apparatus including a control unit and a display unit. The control unit is configured to execute a drift correction process on one or more images acquired with the defect observation device under a plurality of correction conditions, and display the plurality of correction conditions and a plurality of corrected images obtained through execution of the drift correction process in association with each other, as a first screen on the display unit.
Abstract:
Provided is a GUI including: an unadded pane region that hierarchically displays folders which are sets of images having no class information added thereto; an image pane region that displays the images displayed in the unadded pane region, the displayed images having no classification added thereto; and a class pane region that displays images having classification added thereto, wherein by externally inputting class information for one image having the class information added thereto, the input class information is displayed.
Abstract:
Provided is a GUI including: an unadded pane region that hierarchically displays folders which are sets of images having no class information added thereto; an image pane region that displays the images displayed in the unadded pane region, the displayed images having no classification added thereto; and a class pane region that displays images having classification added thereto, wherein by externally inputting class information for one image having the class information added thereto, the input class information is displayed.
Abstract:
The present invention provides a charged-particle radiation apparatus with a defect observation device for observing defects on a sample, the apparatus including a control unit and a display unit. The control unit is configured to execute a drift correction process on one or more images acquired with the defect observation device under a plurality of correction conditions, and display the plurality of correction conditions and a plurality of corrected images obtained through execution of the drift correction process in association with each other, as a first screen on the display unit.