000			08332cam a22008178i 4500
001			on1008762473
003			OCoLC
005			20220711203257.0
006			m o d
007			cr |n|||||||||
008			171024s2018 nju ob 001 0 eng
010			_a 2017050886
040			_aDLC _beng _erda _cDLC _dOCLCO _dOCLCF _dOCLCQ _dN$T _dEBLCP _dDG1 _dYDX _dMERER _dRECBK _dUAB _dOCLCQ _dUIU _dCOO _dNLE
020			_a9781119218357 _q(electronic bk.)
020			_a1119218357 _q(electronic bk.)
020			_a9781119218333 _q(electronic bk. : oBook)
020			_a1119218330 _q(electronic bk. : oBook)
020			_z9781119218340
020			_z1119218349
020			_z9781119218326 _q(hardback)
029	1		_aCHVBK _b516425706
029	1		_aCHNEW _b001002989
029	1		_aGBVCP _b1027305784
035			_a(OCoLC)1008762473
042			_apcc
050	1	0	_aRA856.4
072		7	_aHEA _x012000 _2bisacsh
072		7	_aHEA _x020000 _2bisacsh
072		7	_aMED _x004000 _2bisacsh
072		7	_aMED _x101000 _2bisacsh
072		7	_aMED _x109000 _2bisacsh
072		7	_aMED _x029000 _2bisacsh
072		7	_aMED _x040000 _2bisacsh
072		7	_aMED _x092000 _2bisacsh
082	0	0	_a610.28/4 _223
049			_aMAIN
100	1		_aJiang, Yu, _d1990- _eauthor. _96051
245	1	0	_aCMOS integrated lab-on-a-chip system for personalized biomedical diagnosis / _cYu Jiang, Nanyang Technological University, Singapore, Mei Yan, Illumina, US, Xiwei Huang, Hangzhou Dianzi University, China, Hao Yu, Nanyang Technological University, Singapore.
263			_a1805
264		1	_aHoboken, NJ : _bWiley, _c2018.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aWiley - IEEE
504			_aIncludes bibliographical references and index.
588	0		_aPrint version record and CIP data provided by publisher; resource not viewed.
505	0		_aIntro; Title Page; Copyright Page; Contents; Preface; Chapter 1 Introduction; 1.1 Personalized Biomedical Diagnosis; 1.1.1 Personalized Diagnosis; 1.1.2 Conventional Biomedical Diagnostic Instruments; 1.1.2.1 Optical Microscope; 1.1.2.2 Flow Cytometer; 1.1.2.3 DNA Sequencer; 1.2 CMOS Sensor-based Lab-on-a-Chip for System Miniaturization; 1.2.1 CMOS Sensor-based Lab-on-a-Chip; 1.2.2 CMOS Sensor; 1.2.2.1 CMOS Process Fundamentals; 1.2.2.2 CMOS Sensor Technology; 1.2.2.3 Multimodal CMOS Sensor; 1.2.3 Microfluidics; 1.2.3.1 Microfluidic Fundamentals; 1.2.3.2 Microfluidics Fabrication
505	8		_a1.3 Objectives and Organization of this Book1.3.1 Objectives; 1.3.2 Organization; References; Chapter 2 CMOS Sensor Design; 2.1 Top Architecture; 2.2 Noise Overview; 2.2.1 Thermal Noise; 2.2.2 Flicker Noise; 2.2.3 Shot Noise; 2.2.4 MOSFET Noise Model; 2.3 Pixel Readout Circuit; 2.3.1 Source Follower; 2.3.2 Sub-threshold Gm Integrator; 2.3.3 CTIA; 2.4 Column Amplifier; 2.5 Column ADC; 2.5.1 Single-Slope ADC; 2.5.2 Sigma-Delta ADC; 2.6 Correlated Sampling; 2.6.1 Correlated Double Sampling; 2.6.2 Correlated Multiple Sampling; 2.7 Timing Control; 2.7.1 Row Timing Control
505	8		_a2.7.2 Column Timing Control2.8 LVDS Interface; References; Chapter 3 CMOS Impedance Sensor; 3.1 Introduction; 3.2 CMOS Impedance Pixel; 3.3 Readout Circuit; 3.4 A 96 × 96 Electronic Impedance Sensing System; 3.4.1 Top Architecture; 3.4.2 System Implementation; 3.4.2.1 System Setup; 3.4.2.2 Sample Preparation; 3.4.3 Results; 3.4.3.1 Data Fitting for Single Cell Impedance Measurement; 3.4.3.2 Cell and Electrode Impedance Analysis; 3.4.3.3 EIS for Single-Cell Impedance Enumeration; References; Chapter 4 CMOS Terahertz Sensor; 4.1 Introduction; 4.2 CMOS THz Pixel
505	8		_a4.2.1 Differential TL-SRR Resonator Design4.2.1.1 Stacked SRR Layout; 4.2.1.2 Comparison with Single-ended TL-SRR Resonator; 4.2.1.3 Comparison with Standing-Wave Resonator; 4.2.2 Differential TL-CSRR Resonator Design; 4.3 Readout Circuit; 4.3.1 Super-regenerative Amplification; 4.3.1.1 Equivalent Circuit of SRA; 4.3.1.2 Frequency Response of SRA; 4.3.1.3 Sensitivity of SRA; 4.3.2 Super-regenerative Receivers; 4.3.2.1 Quench-controlled Oscillation; 4.3.2.2 SRX Design by TL-CSRR; 4.3.2.3 SRX Design by TL-SRR; 4.4 A 135 GHz Imager; 4.4.1 135 GHz DTL-SRR-based Receiver
505	8		_a4.4.2 System Implementation4.4.3 Results; 4.5 Plasmonic Sensor for Circulating Tumor Cell Detection; 4.5.1 Introduction of CTC Detection; 4.5.2 SRR-based Oscillator for CTC Detection; 4.5.3 Sensitivity of SRR-based Oscillator; References; Chapter 5 CMOS Ultrasound Sensor; 5.1 Introduction; 5.2 CMUT Pixel; 5.3 Readout Circuit; 5.4 A 320 × 320 CMUT-based Ultrasound Imaging System; 5.4.1 Top Architecture; 5.4.2 System Implementation; 5.4.2.1 Process Selection; 5.4.2.2 High Voltage Pulser; 5.4.2.3 Low-Noise Preamplifier and High Voltage Switch; 5.4.3 Results; 5.4.3.1 Simulation Results
520			_aA thorough examination of lab-on-a-chip circuit-level operations to improve system performance A rapidly aging population demands rapid, cost-effective, flexible, personalized diagnostics. Existing systems tend to fall short in one or more capacities, making the development of alternatives a priority. CMOS Integrated Lab-on-a-Chip System for Personalized Biomedical Diagnosis provides insight toward the solution, with a comprehensive, multidisciplinary reference to the next wave of personalized medicine technology. A standard complementary metal oxide semiconductor (CMOS) fabrication technology allows mass-production of large-array, miniaturized CMOS-integrated sensors from multi-modal domains with smart on-chip processing capability. This book provides an in-depth examination of the design and mechanics considerations that make this technology a promising platform for microfluidics, micro-electro-mechanical systems, electronics, and electromagnetics. From CMOS fundamentals to end-user applications, all aspects of CMOS sensors are covered, with frequent diagrams and illustrations that clarify complex structures and processes. Detailed yet concise, and designed to help students and engineers develop smaller, cheaper, smarter lab-on-a-chip systems, this invaluable reference: -Provides clarity and insight on the design of lab-on-a-chip personalized biomedical sensors and systems -Features concise analyses of the integration of microfluidics and micro-electro-mechanical systems -Highlights the use of compressive sensing, super-resolution, and machine learning through the use of smart SoC processing -Discusses recent advances in complementary metal oxide semiconductor-integrated lab-on-a-chip systems -Includes guidance on DNA sequencing and cell counting applications using dual-mode chemical/optical and energy harvesting sensors The conventional reliance on the microscope, flow cytometry, and DNA sequencing leaves diagnosticians tied to bulky, expensive equipment with a central problem of scale. Lab-on-a-chip technology eliminates these constraints while improving accuracy and flexibility, ushering in a new era of medicine. This book is an essential reference for students, researchers, and engineers working in diagnostic circuitry and microsystems.'
650		0	_aMedical instruments and apparatus _xResearch. _96052
650		0	_aMetal oxide semiconductors, Complementary. _93260
650		7	_aMedical instruments and apparatus _xResearch. _2fast _0(OCoLC)fst01014226 _96052
650		7	_aMetal oxide semiconductors, Complementary. _2fast _0(OCoLC)fst01017635 _93260
650		7	_aHEALTH & FITNESS / Holism _2bisacsh _95217
650		7	_aHEALTH & FITNESS / Reference _2bisacsh _95218
650		7	_aMEDICAL / Alternative Medicine _2bisacsh _95219
650		7	_aMEDICAL / Atlases _2bisacsh _95220
650		7	_aMEDICAL / Essays _2bisacsh _95221
650		7	_aMEDICAL / Family & General Practice _2bisacsh _95222
650		7	_aMEDICAL / Holistic Medicine _2bisacsh _95223
650		7	_aMEDICAL / Osteopathy _2bisacsh _95224
655		4	_aElectronic books. _93294
776	0	8	_iPrint version: _aJiang, Yu, 1990- _tCMOS integrated lab-on-a-chip system for personalized biomedical diagnosis. _dHoboken, NJ : Wiley, 2018 _z9781119218326 _w(DLC) 2017049248
856	4	0	_uhttps://doi.org/10.1002/9781119218333 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c68587 _d68587