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CMOS Circuits for Sensing and Imaging

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 7356

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Technion Israel Institute of Technology, Haifa, Israel
Interests: infrared imagers; CMOS imagers; readout integrated circuits; VLSI analog and mixed-signal circuits; data conversion circuits; CMOS technology

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Guest Editor
Department of Electrical Engineering, Technion Israel Institute of Technology, Haifa, Israel
Interests: Silicon optics; detectors; process and mixed-signal readout; optical components; opto-electronics devices

Special Issue Information

Dear Colleagues,

High-performance sensing and imaging requires dense integration of the sensor in the circuit environment. CMOS technology is today the most established platform that provides such circuits due to its availability, high density, and low cost. In many cases, the CMOS technology provides the embedded sensing property in the CMOS device itself, while in others, the CMOS circuit provides the sensing front-end and is tightly integrated with the sensing element. Moreover, CMOS integrated circuits provide other functions such as mixed-signal processing, analog to digital conversion, digital processing, and fast signal interfacing.

Image sensors are an outstanding example of circuit and sensor integration. A single CMOS die integrates the full image system from the sensor to the video output. In CMOS imagers, the photons are directly converted into an electrical signal exploiting the light sensitivity of CMOS devices. At other wavelengths, such as in infrared imagers, the light signal may be sensed by a focal plane array that is hybridized to a CMOS readout integrated circuit. Other imagers may be based on the integration of circuits with micro or nanomachined sensors. In addition to imaging, many sensing applications require the integration of a CMOS circuit and sensor. Last but not least, the sensed signal is noisy, and thus, the CMOS circuits are required to provide low noise solutions, particularly at the sensor front-end.

This Special Issue welcomes original papers on the advances of CMOS circuits for sensing or imaging, and from the front-end to the digital output. The CMOS circuit should include characteristics related to the sensing or the imaging process. Some examples are low-noise or micro-power front-end readouts, pixel circuits, parallel image data conversion, and sensor mixed-signal processing.

Dr. Claudio Jakobson
Dr. Roni El-Bahar
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • CMOS sensor circuits
  • CMOS image sensors
  • CMOS readout integrated circuits
  • CMOS pixel circuits
  • parallel image data conversion
  • low noise sensing
  • mixed signal sensor circuits

Published Papers (1 paper)

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Review

38 pages, 138462 KiB  
Review
Human Body-Related Disease Diagnosis Systems Using CMOS Image Sensors: A Systematic Review
by Suparshya Babu Sukhavasi, Susrutha Babu Sukhavasi, Khaled Elleithy, Shakour Abuzneid and Abdelrahman Elleithy
Sensors 2021, 21(6), 2098; https://doi.org/10.3390/s21062098 - 17 Mar 2021
Cited by 6 | Viewed by 6924
Abstract
According to the Center for Disease Control and Prevention (CDC), the average human life expectancy is 78.8 years. Specifically, 3.2 million deaths are reported yearly due to heart disease, cancer, Alzheimer’s disease, diabetes, and COVID-19. Diagnosing the disease is mandatory in the current [...] Read more.
According to the Center for Disease Control and Prevention (CDC), the average human life expectancy is 78.8 years. Specifically, 3.2 million deaths are reported yearly due to heart disease, cancer, Alzheimer’s disease, diabetes, and COVID-19. Diagnosing the disease is mandatory in the current way of living to avoid unfortunate deaths and maintain average life expectancy. CMOS image sensor (CIS) became a prominent technology in assisting the monitoring and clinical diagnosis devices to treat diseases in the medical domain. To address the significance of CMOS image ‘sensors’ usage in disease diagnosis systems, this paper focuses on the CIS incorporated disease diagnosis systems related to vital organs of the human body like the heart, lungs, brain, eyes, intestines, bones, skin, blood, and bacteria cells causing diseases. This literature survey’s main objective is to evaluate the ‘systems’ capabilities and highlight the most potent ones with advantages, disadvantages, and accuracy, that are used in disease diagnosis. This systematic review used PRISMA workflow for study selection methodology, and the parameter-based evaluation is performed on disease diagnosis systems related to the human body’s organs. The corresponding CIS models used in systems are mapped organ-wise, and the data collected over the last decade are tabulated. Full article
(This article belongs to the Special Issue CMOS Circuits for Sensing and Imaging)
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