Imaging systems can become measurement limited under various conditions resulting in strict limits to the amount of acquired image information. For example, a high-speed imager is limited in the number of measurements that can be acquired per second. Similarly, an ultra-small imager such as a micro-endoscope is limited by the number of measurements that can be acquired in a given cross-sectional area. In this talk, we will discuss our recent research in applying optical signal processing and computational imaging to enhance imaging performance in measurement-limited applications. Specifically, we will discuss our research into high-throughput flow microscopes for imaging flow cytometry and ultra-small fiber imagers for minimally-invasive micro-endoscopy.

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Mark A. Foster, "Computational imaging systems for measurement-limited applications (Conference Presentation)," Proc. SPIE 10222, Computational Imaging II, 102220F (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 09, 2017; Published: 6 June 2017); https://doi.org/10.1117/12.2266384.5460687095001.