The invention relates to a method for correcting a telecentricity error of an imaging device for semiconductor lithography having an illumination unit, an imaging optical unit, and a filter for correcting the telecentricity error, having the following method steps: determining the telecentricity error of the imaging device, designing a filter for correcting the telecentricity error, arranging the filter in the pupil plane of the illumination unit, determining the telecentricity error again, and repeating the method steps one to four until the telecentricity error falls below a specified telecentricity error.

The invention furthermore relates to an imaging device for semiconductor lithography, which is configured for carrying out the method.

Systems and methods are provided for print review systems. One embodiment is a print review system that includes a memory that stores inspection parameters of print media marked by a printer, an interface that communicates with the printer, and a controller that, in response to the printer initiating processing of a print job, receives an indication via the interface of settings used by the printer in processing the print job, modifies the parameters based on the settings, inspects the print media based on the modified parameters, and reports compliance of the print job with the modified parameters.

Systems and methods are provided for print review systems. One embodiment is a print review system that includes a memory that stores inspection parameters of print media marked by a printer, an interface that communicates with the printer, and a controller that, in response to the printer initiating processing of a print job, receives an indication via the interface of settings used by the printer in processing the print job, modifies the parameters based on the settings, inspects the print media based on the modified parameters, and reports compliance of the print job with the modified parameters.

A debris collection and metrology system for collecting and analyzing debris from a tip used in nanomachining processes, the system including an irradiation source, an irradiation detector, an actuator, and a controller. The irradiation source is operable to direct incident irradiation onto the tip, and the irradiation detector is operable to receive a sample irradiation from the tip, the sample irradiation being generated as a result of the direct incident irradiation being applied onto the tip. The controller is operatively coupled to an actuator system and the irradiation detector, and the controller is operable to receive a first signal based on a first response of the irradiation detector to the sample irradiation, and the controller is operable to effect relative motion between the tip and at least one of the irradiation source and the irradiation detector based on the first signal.

A debris collection and metrology system for collecting and analyzing debris from a tip used in nanomachining processes, the system including an irradiation source, an irradiation detector, an actuator, and a controller. The irradiation source is operable to direct incident irradiation onto the tip, and the irradiation detector is operable to receive a sample irradiation from the tip, the sample irradiation being generated as a result of the direct incident irradiation being applied onto the tip. The controller is operatively coupled to an actuator system and the irradiation detector, and the controller is operable to receive a first signal based on a first response of the irradiation detector to the sample irradiation, and the controller is operable to effect relative motion between the tip and at least one of the irradiation source and the irradiation detector based on the first signal.

A reticle inspection system may include two or more inspection tools to generate two or more sets of inspection images for characterizing a reticle, where the two or more inspection tools include at least one reticle inspection tool providing inspection images of the reticle. The reticle inspection system may further include a controller to correlate data from the two or more sets of inspection images to positions on the reticle, detect one or more defects of interest on the reticle with the correlated data as inputs to a multi-input defect detection model, and output defect data associated with the defects of interest.

A method for detecting deposited particles (P) on a surface (11) of an object (3, 14) includes: irradiating a partial region of the surface (11) of the object (3, 14) with measurement radiation; detecting measurement radiation scattered on the irradiated partial region, and detecting particles in the partial region of the surface of the object (3, 14) based on the detected measurement radiation. In the steps of irradiating and detecting, the surface (11) of the object (3, 14) has an anti-reflective coating (13) and/or a surface structure (15) for reducing the reflectivity of the surface (11) for the measurement radiation (9), wherein the particle detection limit is lowered due to the anti-reflective coating (13) and/or the surface structure (15). Also disclosed are a wafer (3) and a mask blank for carrying out the method.

A method for detecting deposited particles (P) on a surface (11) of an object (3, 14) includes: irradiating a partial region of the surface (11) of the object (3, 14) with measurement radiation; detecting measurement radiation scattered on the irradiated partial region, and detecting particles in the partial region of the surface of the object (3, 14) based on the detected measurement radiation. In the steps of irradiating and detecting, the surface (11) of the object (3, 14) has an anti-reflective coating (13) and/or a surface structure (15) for reducing the reflectivity of the surface (11) for the measurement radiation (9), wherein the particle detection limit is lowered due to the anti-reflective coating (13) and/or the surface structure (15). Also disclosed are a wafer (3) and a mask blank for carrying out the method.

Methods include generating a scanner aerial image using a neural network, where the scanner aerial image is generated using a mask inspection image that has been generated by a mask inspection machine. Embodiments also include training the neural network with a set of images, such as with a simulated scanner aerial image and another image selected from a simulated mask inspection image, a simulated Critical Dimension Scanning Electron Microscope (CD-SEM) image, a simulated scanner emulator image and a simulated actinic mask inspection image.

Methods include generating a scanner aerial image using a neural network, where the scanner aerial image is generated using a mask inspection image that has been generated by a mask inspection machine. Embodiments also include training the neural network with a set of images, such as with a simulated scanner aerial image and another image selected from a simulated mask inspection image, a simulated Critical Dimension Scanning Electron Microscope (CD-SEM) image, a simulated scanner emulator image and a simulated actinic mask inspection image.