Used NANOMETRICS / BIO-RAD / ACCENT Q7 #293763617 for sale

NANOMETRICS / BIO-RAD / ACCENT Q7 is a state-of-the-art mask and wafer inspection equipment. This automated system assists manufacturers in detecting contaminants and imperfections that could potentially lead to defects in the production of semiconductor devices. ACCENT Q7 is driven by a newly designed BIO-RAD Q7 proprietary Inspection Unit Software. This software utilizes cutting-edge algorithms to detect critical defects- quickly, accurately and with minimal to no operator intervention. Q7 consists of four main components: a microscope, a camera, an imaging head, and the software. The microscope- which is the machine's core- is constructed using XGA Digital Optics which can be used to detect and zoom in on microscopic images of a wafer or mask. A specially-developed high-resolution digital camera is also featured in NANOMETRICS Q7 to capture the image of the wafer or mask. The imaging head of NANOMETRICS / BIO-RAD / ACCENT Q7 is the graphical user interface which allows users to configure the tool's parameters such as image contrast, color range, and zoom levels. The software employed by ACCENT Q7 utilizes sophisticated algorithms to detect and quantify the most rigorous types of imperfections. The algorithms are able to determine size and structural integrity of particles, roughness of the surface, and crack features. BIO-RAD Q7 software further features a 3D mode which allows users to inspect features even when they are out of focus. Users can also use the software to perform mark inspection, edge-and-feature analysis, and defect classification. In addition, the Integration Software Software that comes with Q7 offers users efficient data management and visualization capabilities. Data can be exported in a variety of formats, enabling users to carry out further analysis such as statistical process control and pattern recognition. Overall, NANOMETRICS Q7 is a complete and versatile inspection asset, allowing users to detect and quantify the most demanding defects. This makes it an invaluable tool for businesses involved in the production of semiconductor devices, helping them reduce their product defect rates.