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CMOS integrated lab-on-a-chip system for personalized biomedical diagnosis / Hao Yu, Southern University of Science and Technology, China, Mei Yan, Consultant, China, Xiwei Huang, Hangzhou Dianzi University, China

Author
Yu, Hao, 1976-
Published
Hoboken, New Jersey : Wiley / IEEE Press, 2018.
[Piscataqay, New Jersey] : IEEE Xplore, [2018]
Physical Description
1 PDF
Additional Creators
IEEE Xplore (Online service)
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Restricted to subscribers or individual electronic text purchasers.
Contents
Intro; 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., 1.3 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., 2.7.2 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 x 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., 4.2.1 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., and 4.4.2 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.
Summary
A 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.'
Subject(s)
ISBN
1119218357
1119218349
9781119218357 pdf
9781119218333 electronic book
9781119218340 ePub
1119218330
9781119218326 hardback
Bibliography Note
Includes bibliographical references and index.
Other Forms
Also available in print.
Technical Details
Mode of access: World Wide Web
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