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Single-Pixel MEMS Imaging Systems

Micro and Nano Systems Initiative, Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore
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Micromachines 2020, 11(2), 219; https://doi.org/10.3390/mi11020219
Received: 31 January 2020 / Revised: 18 February 2020 / Accepted: 19 February 2020 / Published: 20 February 2020
(This article belongs to the Special Issue Optical MEMS, Volume II)
Single-pixel imaging technology is an attractive technology considering the increasing demand of imagers that can operate in wavelengths where traditional cameras have limited efficiency. Meanwhile, the miniaturization of imaging systems is also desired to build affordable and portable devices for field applications. Therefore, single-pixel imaging systems based on microelectromechanical systems (MEMS) is an effective solution to develop truly miniaturized imagers, owing to their ability to integrate multiple functionalities within a small device. MEMS-based single-pixel imaging systems have mainly been explored in two research directions, namely the encoding-based approach and the scanning-based approach. The scanning method utilizes a variety of MEMS scanners to scan the target scenery and has potential applications in the biological imaging field. The encoding-based system typically employs MEMS modulators and a single-pixel detector to encode the light intensities of the scenery, and the images are constructed by harvesting the power of computational technology. This has the capability to capture non-visible images and 3D images. Thus, this review discusses the two approaches in detail, and their applications are also reviewed to evaluate the efficiency and advantages in various fields. View Full-Text
Keywords: single-pixel imaging; microelectromechanical systems (MEMS); computational technology; MEMS scanners; MEMS modulators single-pixel imaging; microelectromechanical systems (MEMS); computational technology; MEMS scanners; MEMS modulators
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Zhou, G.; Lim, Z.H.; Qi, Y.; Zhou, G. Single-Pixel MEMS Imaging Systems. Micromachines 2020, 11, 219.

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