Abstract: An apparatus and method for inspecting defects includes an illuminator for irradiating light having an ultraviolet wavelength emitted from a light source onto a specimen through a reflection objective lens, an image-former for forming an image of light reflected from the specimen by the illumination of the light from the illuminator, which is passed through at least the reflection objective lens, a detector which detects the image of light formed by the image-former with an image sensor, and an image processor for processing a signal output from the detector to detect defects on the specimen. The image sensor is a reverse-surface irradiation type image sensor.

Abstract: A method of inspecting detects includes assigning a plurality of sets of image acquisition conditions, executing inspection using each of the sets of conditions, classifying all detected defects into real defects and false defects by use of an automatic defect classification function, and selecting, from the plurality of sets of conditions, a set of conditions ideal for detection.

Abstract: A method and apparatus for inspecting pattern defects emitting a laser beam, adjusting a light-amount of the laser beam, converting the light-amount adjusted laser beam into a slit-like laser light flux, lowering coherency of the slit-like laser light flux, and irradiating a sample with the coherence reduced slit-like laser light flux. An image of reflection light from the sample is obtained, and a detector is provided which includes the image sensor for receiving the image of the reflection light and for converting it into a detected image signal. An image processor is provided for detecting defects on patterns formed on the sample in accordance with the detected image signal.

Abstract: In a pattern inspection apparatus for comparing images of corresponding areas of two patterns, which are formed so as to be identical, so as to judge that a non-coincident part of the images is a defect, the influence of unevenness in brightness of patterns caused by a difference of thickness or the like is reduced, whereby highly sensitive pattern inspection is realized. In addition, high-speed pattern inspection can be carried out without changing the image comparison algorithm. For this purpose, the pattern inspection apparatus operates to perform comparison processing of images in parallel in plural areas. Further, the pattern inspection apparatus operates to convert gradation of an image signal among compared images using different plural processing units such that, even in the case in which a difference of brightness occurs in an identical pattern among images, a defect can be detected correctly.

Abstract: In a pattern inspection apparatus for comparing images of corresponding areas of two patterns, which are formed so as to be identical, so as to judge that a non-coincident part of the images is a defect, the influence of unevenness in brightness of patterns caused by a difference of thickness or the like is reduced, whereby highly sensitive pattern inspection is realized. In addition, high-speed pattern inspection can be carried out without changing the image comparison algorithm. For this purpose, the pattern inspection apparatus operates to perform comparison processing of images in parallel in plural areas. Further, the pattern inspection apparatus operates to convert gradation of an image signal among compared images using different plural processing units such that, even in the case in which a difference of brightness occurs in an identical pattern among images, a defect can be detected correctly.

Abstract: An apparatus for inspecting pattern defects, the apparatus including: a defect candidate extraction unit configured to perform a defect candidate extraction process by comparing a detected image signal with a reference image signal; and a defect detection unit configured to perform a defect detection process and a defect classification process based on a partial image containing a defect candidate that is extracted by the defect candidate extraction unit, wherein the processes performed by the defect candidate extraction unit and/or the defect detection unit are performed asynchronously with an image acquisition process.

Abstract: The present invention relates to a pattern defect inspection method and apparatus that reveal ultramicroscopic defects on an inspection target in which ultramicroscopic circuit patterns are formed, and inspect the defects with high sensitivity and at a high speed. The present invention provides a pattern inspection apparatus for comparing the images of corresponding areas of two formed patterns that should be identical with each other, and judging any mismatched image area as a defect. The pattern inspection apparatus includes means for performing an image comparison process on a plurality of areas in a parallel manner. Further, the pattern inspection apparatus also includes means for converting the gradation of the image signals of compared images in each of a plurality of different processes. Therefore, the present invention can properly detect defects even if the same patterns of compared images differ in brightness.

Abstract: The present invention relates to a high-sensitivity defect inspection method, apparatus, and system adapted for the fine-structuring of patterns; wherein, in addition to a cleaning tank which chemically cleans a sample and rinses the sample, a defect inspection apparatus having a liquid-immersion element by which the interspace between the sample and the objective lens of an optical system is filled with a liquid, and a drying tank which dries the sample, the invention uses liquid-immersion transfer means from said cleaning tank through said liquid-immersion means of said defect inspection apparatus to said drying tank so that the sample is transferred in a liquid-immersed state from said cleaning tank to said liquid-immersion means.

Abstract: The present invention provides a high-precision alignment method, device and code for inspections that compare an inspection image with a reference image and detect defects from their differences. In one embodiment an inspection image and a reference image are divided into multiple regions. An offset is calculated for each pair of sub-images. Out of these multiple offsets, only the offsets with high reliability are used to determine an offset for the entire image. This allows high-precision alignment with little or no dependency on pattern density or shape, differences in luminance between images, and uneven luminance within individual images. Also, detection sensitivity is adjusted as necessary by monitoring alignment precision.

Abstract: In a defect inspecting apparatus, having contrast, brightness and appearance of a target for inspection and detection sensitivity of a defect changed depending on optical system conditions, and adapted to perform inspection by selecting an optimal test condition, even an unskilled user can easily select an optimal optical condition by quantitatively displaying evaluation values side by side when optical system conditions are changed. Moreover, by selecting an evaluation item having highest satisfaction based on a result of a series of test inspection, an optimal test condition can be automatically selected.

Abstract: A pattern inspection method including: sequentially imaging plural chips formed on a substrate; selecting a pattern which is suitable for calculating position gap between an inspection image of a subject chip and reference image stored in memory from an image of a firstly imaged chip among said sequentially imaged plural chips formed on the substrate; computing position gap between an inspection image of a chip obtained by the sequential imaging and reference image stored in a memory by using a positional information of a pattern image included in the inspection image and a reference pattern image included in the reference image which are both corresponding to the pattern selected at the selecting; aligning the inspection image and the reference image by using information of the calculated position gap; and comparing the aligned inspection image with the reference image and extracting a difference as a defect candidate.

Abstract: The present invention provides a high-precision alignment method, device and code for inspections that compare an inspection image with a reference image and detect defects from their differences. In one embodiment an inspection image and a reference image are divided into multiple regions. An offset is calculated for each pair of sub-images. Out of these multiple offsets, only the offsets with high reliability are used to determine an offset for the entire image. This allows high-precision alignment with little or no dependency on pattern density or shape, differences in luminance between images, and uneven luminance within individual images. Also, detection sensitivity is adjusted as necessary by monitoring alignment precision.

Abstract: The present invention provides a high-precision alignment method, device and code for inspections that compare an inspection image with a reference image and detect defects from their differences. In one embodiment an inspection image and a reference image are divided into multiple regions. An offset is calculated for each pair of sub-images. Out of these multiple offsets, only the offsets with high reliability are used to determine an offset for the entire image. This allows high-precision alignment with little or no dependency on pattern density or shape, differences in luminance between images, and uneven luminance within individual images. Also, detection sensitivity is adjusted as necessary by monitoring alignment precision.

Abstract: A method and apparatus for inspecting pattern defects emitting a laser beam, adjusting a light-amount of the laser beam, converting the light-amount adjusted laser beam into a slit-like laser light flux, lowering coherency of the slit-like laser light flux, and irradiating a sample with the coherence reduced slit-like laser light flux. An image of reflection light from the sample is obtained, and a detector is provided which includes the image sensor for receiving the image of the reflection light and for converting it into a detected image signal. An image processor is provided for detecting defects on patterns formed on the sample in accordance with the detected image signal.

Abstract: An object of the present invention is to provide a defect detection method and its apparatus which can adjust sensitivity easily by managing both reduction in the number of false reports and highly-sensitive detection of a defect using single threshold value setting in comparison inspection that compares an image to be inspected with a reference image to detect a defect judging from a difference between the images. According to the present invention, adjusting the brightness before inspection so that a difference becomes small at the edges of a high-contrast pattern in a target image enables reduction in the number of false reports caused by an alignment error, and achievement of highly-sensitive defect inspection using a low threshold value, without increasing the threshold value.

Abstract: The present invention provides a high-precision alignment method, device and code for inspections that compare an inspection image with a reference image and detect defects from their differences. In one embodiment an inspection image and a reference image are divided into multiple regions. An offset is calculated for each pair of sub-images. Out of these multiple offsets, only the offsets with high reliability are used to determine an offset for the entire image. This allows high-precision alignment with little or no dependency on pattern density or shape, differences in luminance between images, and uneven luminance within individual images. Also, detection sensitivity is adjusted as necessary by monitoring alignment precision.

Abstract: A method and apparatus for inspecting pattern defects emitting a laser beam, adjusting a light-amount of the laser beam, converting the light-amount adjusted laser beam into a slit-like laser light flux, lowering coherency of the slit-like laser light flux, and irradiating a sample with the coherence reduced slit-like laser light flux. An image of reflection light from the sample is obtained, and a detector is provided which includes the image sensor for receiving the image of the reflection light and for converting it into a detected image signal. An image processor is provided for detecting defects on patterns formed on the sample in accordance with the detected image signal.

Abstract: The present invention provides a high-precision alignment method, device and code for inspections that compare an inspection image with a reference image and detect defects from their differences. In one embodiment an inspection image and a reference image are divided into multiple regions. An offset is calculated for each pair of regions. Out of these multiple offsets, only the offsets with high reliability are used to determine an offset for the entire image. This allows high-precision alignment with little or no dependency on pattern density or shape, differences in luminance between images, and uneven luminance within individual images. Also, detection sensitivity is adjusted as necessary by monitoring alignment precision.

Abstract: A method and apparatus for inspecting pattern defects emitting a laser beam, adjusting a light-amount of the laser beam, converting the light-amount adjusted laser beam into a slit-like laser light flux, lowering coherency of the slit-like laser light flux, and irradiating a sample with the coherence reduced slit-like laser light flux. An image of reflection light from the sample is obtained, and a detector is provided which includes the image sensor for receiving the image of the reflection light and for converting it into a detected image signal. An image processor is provided for detecting defects on patterns formed on the sample in accordance with the detected image signal.

Abstract: The present invention relates to a high-sensitivity defect inspection method, apparatus, and system adapted for the fine-structuring of patterns; wherein, in addition to a cleaning tank which chemically cleans a sample and rinses the sample, a defect inspection apparatus having a liquid-immersion element by which the interspace between the sample and the objective lens of an optical system is filled with a liquid, and a drying tank which dries the sample, the invention uses liquid-immersion transfer means from said cleaning tank through said liquid-immersion means of said defect inspection apparatus to said drying tank so that the sample is transferred in a liquid-immersed state from said cleaning tank to said liquid-immersion means.