國立虎尾科技大學 |

Analog signal processing electronics for biomedical imaging applications.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Analog signal processing electronics for biomedical imaging applications./
作者:	Ozmen, Cagatay.
面頁冊數:	1 online resource (158 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:	Dissertation Abstracts International79-07B(E).
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355782981

Analog signal processing electronics for biomedical imaging applications.
Ozmen, Cagatay.

Analog signal processing electronics for biomedical imaging applications. - 1 online resource (158 pages)

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (Ph.D.)--University of Massachusetts Lowell, 2017.

Includes bibliographical references

This thesis describes the design of two different readout electronics for a nanoscale photoresistive image sensor for an ultra-small endoscope camera. Single and dual element readout methods have been proposed, designed; and investigated. In both methods, the readout integrated circuit (ROIC) incorporates Wheatstone bridge configuration with a variable-gain switched-capacitor amplifier. In the first method which we call single element readout, a 12-bit R-2R ladder digital-to-analog converter (DAC) is used as one branch of the Wheatstone bridge for on-chip offset. calibration. It is also known as the quarter bridge method. The bias voltage of the bridge is supplied by another on-chip DAC and made programmable between 0 to 1.8 V. In the second part of the thesis, the dual element readout method; which can also be named as the half bridge method is utilized to increase detector signal sensitivity and sensor dynamic range. This is done by using two adjacent detectors at the same time sequentially during readout. Ideally it can be used with dual element image sensors. It can also be utilized in a photoresistive image sensor array on the assumption that adjacent nanoscale detectors have similar illumination levels. An on-chip two-point calibration method is also proposed for this readout method. Two on-chip 12-bit R-2R. ladder DACs are used for offset calibration, whereas the variable-gain switched-capacitor amplifier enables the gain calibration. Detector bias voltages are supplied by two on-chip DACs and are also programmable between 0 to 1.8 V for ROIC performance optimization. This image sensor and ROIC system is intended to be used as an endoscope camera which demands strict silicon area and low power consumption requirements. In this thesis, a sample 1 x 16 line sensor is used for proof of concept. This work focuses on the analog signal processing chain of the ROIC. The proposed ROIC is designed in 0.18 mum CMOS process and the system is verified with Monte Carlo, corner and post-layout simulations using Cadence Virtuoso design tool.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355782981Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Analog signal processing electronics for biomedical imaging applications.
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245 1 0 $a Analog signal processing electronics for biomedical imaging applications.
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500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Adviser: Martin Margala.
502 $a Thesis (Ph.D.)--University of Massachusetts Lowell, 2017.
504 $a Includes bibliographical references
520 $a This thesis describes the design of two different readout electronics for a nanoscale photoresistive image sensor for an ultra-small endoscope camera. Single and dual element readout methods have been proposed, designed; and investigated. In both methods, the readout integrated circuit (ROIC) incorporates Wheatstone bridge configuration with a variable-gain switched-capacitor amplifier. In the first method which we call single element readout, a 12-bit R-2R ladder digital-to-analog converter (DAC) is used as one branch of the Wheatstone bridge for on-chip offset. calibration. It is also known as the quarter bridge method. The bias voltage of the bridge is supplied by another on-chip DAC and made programmable between 0 to 1.8 V. In the second part of the thesis, the dual element readout method; which can also be named as the half bridge method is utilized to increase detector signal sensitivity and sensor dynamic range. This is done by using two adjacent detectors at the same time sequentially during readout. Ideally it can be used with dual element image sensors. It can also be utilized in a photoresistive image sensor array on the assumption that adjacent nanoscale detectors have similar illumination levels. An on-chip two-point calibration method is also proposed for this readout method. Two on-chip 12-bit R-2R. ladder DACs are used for offset calibration, whereas the variable-gain switched-capacitor amplifier enables the gain calibration. Detector bias voltages are supplied by two on-chip DACs and are also programmable between 0 to 1.8 V for ROIC performance optimization. This image sensor and ROIC system is intended to be used as an endoscope camera which demands strict silicon area and low power consumption requirements. In this thesis, a sample 1 x 16 line sensor is used for proof of concept. This work focuses on the analog signal processing chain of the ROIC. The proposed ROIC is designed in 0.18 mum CMOS process and the system is verified with Monte Carlo, corner and post-layout simulations using Cadence Virtuoso design tool.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
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710 2 $a University of Massachusetts Lowell. $3 1179049
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