Demand for miniature and low-cost devices, along with advances in materials, drives manufacturing toward micro- and nano-scale patterns in large area. Flexible electronics (FE), for example, offers a ubiquitous platform for diverse products in displays, solar panels and healthcare with advantages that include low cost, compact form, light weight, and high performance. To inspect high-resolution patterns over a large range requires high-precision imaging technologies. Similarly, such large-view and high-precision microscopes are also desirable for biological and medical imaging. In this talk, I will review my imaging technical solutions to these problems that I developed in the past few years. These techniques include concentric circular trajectory imaging, super resolution and mosaicing system. These techniques have the significant strength in low cost, fast speed, high accuracy, and robustness compared to art in the state methods.
Dr. Xian Du is an assistant professor in the Department of Mechanical & Industrial Engineering at the Umass Amherst. His current research topic is the innovation of intelligent sensing technologies for manufacturing and medical devices. His research interests include pattern recognition, intelligent imaging and vision, flexible electronics manufacturing, robotics, and medical device realization.
Dr. Xian Du earned his doctoral degree in the program of Innovation of Manufacturing Systems and Technology from the Singapore-MIT Alliance at the National University of Singapore in 2007. He has extensive research experience and specialization in machine vision and pattern recognition in industry and academia. Before joining Umass Amherst, he was a research scientist in the laboratory for Manufacturing and Productivity at MIT. During his research at MIT, Dr. Xian Du invented a concentric circular trajectory scanning (CCTS) system and a full-field deformation matching method for the inspection and control of micro- or nano-scale roll-to-roll manufacturing over meter-scale web. These two techniques have been patented and are extended in broad applications including medical devices. He also invented an environmental imaging system for the inspection and quantification of monolayer patterns and a bedside 3-D molecular imaging system for clinical diagnosis in the Massachusetts General Hospital (MGH). Dr. Xian Du is serving as a peer reviewer for many top international journals across the areas of mechatronics, robotics, machine learning, and imaging. He is the coauthor of Data Mining and Machine Learning in Cybersecurity (CRC Press, 2011) that is the first reference book focusing on cyber data mining and machine learning.