Used NANOMETRICS 4000 #9188715 for sale

NANOMETRICS 4000 is a top-of-the-line mask and wafer inspection equipment designed to meet the high-accuracy, precision requirements of the semiconductor industry. The system features a 10nm resolution, 8-channel back-illuminated 64mm2 sensor, enabling ultra-high speed, low noise imaging and 2D analysis even in challenging substrates. The unit is built on a powerful dedicated platform that leverages multiple FPGAs, ASICs, and DSPs to ensure optimal performance for defect detection, measurement, metrology, classification, verification, and yield analysis across multiple substrates. It utilizes state-of-the-art optics and mirrors to create a clear, detailed image of the sample, enabling highly accurate image analysis. 4000 has a wide range of features designed to maximize efficiency and accuracy. Its advanced algorithms can detect very small defects or particles, and different types of defects can be classified by size, severity, or defect type. It also offers dual acquisition modes, allowing inspection and analysis of both mask-only and mask-plus-wafer substrates without any manual adjustment. Additionally, the machine's built-in data acquisition and handling modules ensure efficient data archiving, as well as flexible data acquisition and storage options. The tool comes with an intuitive user-friendly interface which simplifies customization of mask inspection parameters. Users can easily configure the exposure parameters, such as illumination angle, pixel size, and layer type, as well as more advanced settings such as defect detection algorithms, defect mark location, and mark severity. It also offers a range of additional features like automatic wear compensation, defect inspection scheduling, and yield analysis. NANOMETRICS 4000 is a reliable and comprehensive mask and wafer inspection asset suitable for any production line. Its high performance and flexibility make it an ideal choice for semiconductor manufacturers who need to ensure the highest accuracy and reliability in their products.