Used RUDOLPH Waferview 320 #9311789 for sale

RUDOLPH Waferview 320 is a leading-edge, comprehensive mask and wafer inspection equipment for the semiconductor industry. It combines a digital CMOS sensor with advanced software programming technology to provide the highest-quality imaging and analysis of various defect and design information on photo-processed masks and wafers. Waferview 320 offers images up to 2000 microns per pixel (2x better resolution than other systems), ensuring extremely accurate defect detection and analysis. Its image capture and defect reporting capabilities simplify the process of fully inspecting wafers and ensure the highest product quality. A unique feature of RUDOLPH Waferview 320 is its laser autofocus and tracking. This system allows for detail-oriented imaging and defect location, which are critical for accurately inspecting wafers. Waferview 320 also utilizes advanced edge-detection and contrast algorithms, allowing for the detection and analysis of smaller, less obvious defects. In addition to its imaging capabilities, RUDOLPH Waferview 320 also performs a wide range of measurements to detect and classify defects. These measurements are performed with high precision, allowing for measurements of as small as single microns in size. The software programming of Waferview 320 is user-friendly and intuitive. It allows for simple set up and operation, allowing the user to easily adjust parameters and customize the inspection unit to meet their specific requirements. Additionally, the software offers a comprehensive user report which provides detailed information regarding any defects found in the inspection process. Overall, RUDOLPH Waferview 320 mask and wafer inspection machine is an all-in-one solution for the study of defected or flawed photo-processed masks and wafers. It provides advanced imaging capabilities and defect measurement, offering the highest resolution and quality of imaging, as well as easy user set up and operation. These features ensure an accurate inspection of the product and result in the optimal product quality.