(Ebook PDF) Cutting edge Technologies in Biological Sensing and Analysis 1st edition by Anh Hung Nguyen 1003810640 9781003810643 full chapters

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ISBN-10 ‏ : ‎1003810640 

ISBN-13 ‏ : ‎ 9781003810643

Author :  Anh Hung Nguyen 

Advanced technologies have been transforming the ways we carry out biological studies as well as deliver healthcare. While micro- and nano-fabrication have provided miniaturized sensors and systems with better sensitivity and selectivity,; innovations in flexible electronics, biomaterials and telecommunications have helped in enabling novel biomedical devices, reducing cost, bringing convenience and establishing mobile-health (m-Health), and personalized- and tele-medicine. Further, the recent rise of the internet of things (IoTs) and machine learning-based approaches has paved the avenue for those biomedical systems to become popular and widely accepted by our society. In this context, we edit this book aiming to cover a broad field of novel technologies used in biological assessment and analysis for humans, animal models and in vitro platforms, in both health monitoring and biological studies. Technical topics discussed in the book include: Biosensing systems and biomedical techniques Imaging techniques and systems Biosignal analysis Animal models used in biological research

Cutting-edge Technologies in Biological Sensing and Analysis 1st Table of contents:

1 Plasmonic Sensors for Applications in Liquid Biopsies
1.1 Introduction
1.2 Nanoplasmonic Biosensor
1.2.1 Localized surface plasmon resonance (LSPR) biosensor
1.2.2 SERS biosensor
1.3 Detection of Liquid Biopsy Biomarkers
1.3.1 Proteins
1.3.2 Circulating tumor cells
1.3.3 Nucleic acids
1.3.4 Exosomes
1.4 Conclusions and Future Perspectives
References
2 Analysis Methods and Clinical Applications of Circulating Cell-free DNA and RNA in Human Blood
2.1 Introduction
2.2 Method of Analysis and Detection
2.2.1 Purification of cell-free DNA
2.2.2 Circulating cfDNA isolation techniques: commercial kits
2.2.3 Circulating cfDNA isolation techniques: direct capture from sample
2.2.4 Circulating cfDNA isolation techniques: increasing sample yield or concentration
2.2.5 Purification of cell-free RNA
2.2.6 cfDNA genetic analysis
2.2.7 Circulating cfDNA detection by qPCR and ddPCR
2.2.8 Circulating cfDNA detection by Raman spectroscopy or mass spectrometry
2.2.9 Circulating cfDNA detection by sequencing
2.2.10 cfRNA analysis
2.2.11 cfDNA epigenetics analysis
2.2.12 DNA methylation
2.2.13 cfDNA methylation detection methods: sequencing, array, and qPCR
2.2.14 Enrichment-based cfDNA methylation detection
2.2.15 Enzyme-based cfDNA methylation detection
2.3 Clinical Applications
2.3.1 Non-invasive prenatal diagnosis testing
2.3.2 Oncology
2.3.3 Guiding treatment stratification and prognosis and monitoring
2.3.4 Transplantation
2.3.5 Microbial analysis
2.3.6 Chronic diseases
2.4 Challenges and Outlooks
3 Animal Models and Techniques Used in Cardiovascular Research
3.1 Introduction
3.2 Mouse Models
3.2.1 Physical surgery
3.2.2 Chemical treatment
3.2.3 Genetic models
3.3 Other Mammalian Models
3.3.1 Rats
3.3.2 Rabbits
3.3.3 Pigs
3.3.4 Dogs
3.3.5 Sheep
3.4 Zebrafish
3.4.1 Mechanical resection model
3.4.2 Targeted laser injury
3.4.3 Cryoinjury
3.4.4 Genetic ablation model
3.4.5 Tissue clearing technique
3.5 Current Outlook of CVD Research with Injury Models
3.5.1 Myocardial infarction
3.5.2 Arrhythmias
3.5.3 Cardiomyopathy
3.5.4 Atherosclerosis
3.6 Concluding Remarks
4 Phage-based Biosensors
4.1 Introduction
4.1.1 Phage display
4.1.2 Vectors used in phage display
4.1.3 Bio-panning
4.1.4 Biosensors
4.1.5 Phage in biosensors
4.1.6 Phage-nanoparticle complex in biosensors
4.1.7 Phage displayed antibodies
4.2 Strategies of Phage Immobilization
4.2.1 Physical adsorption
4.2.2 Chemical adsorption
4.2.3 Electric deposition
4.2.4 Phage layer by layer organization
4.3 Types of Phage–bacteria Association and Signal Generation
4.3.1 Reporter phages (RP)
4.3.2 Receptor binding phage
4.3.3 Stained phage
4.3.4 Capturing phage
4.3.5 Lytic phage
4.3.6 Quantum dot-based biosensors (quantitative analysis)
4.4 Types of Signal Output and Reading
4.4.1 Electrochemical biosensors
4.4.2 Impedance-based electrochemical approaches
4.4.3 Optical biosensors
4.4.4 Mechanical biosensors
4.5 Applications and Case Studies
4.5.1 Pathogen detection and enumeration
4.5.2 Diagnostic markers detection
4.5.3 Vaccine development
4.5.4 Material science and industry
4.6 Conclusion
5 Methods and Challenges of Tissue Clearing Engineering for Tissue Complexity 5
5.1 Introduction
5.2 Tissue Clearing Methods
5.2.1 Hydrogel tissue clearing methods
5.2.2 Hydrophobic tissue clearing
5.2.3 Hydrophilic tissue clearing
5.3 Labeling in Tissue-clearing Techniques
5.4 Applications in Clinical Samples and Data Processing
5.5 Perspectives and Conclusions
6 Novel Imaging Contrast Agents and Systems for Biomedical Sensing 6
6.1 Introduction
6.2 Photoacoustic Imaging
6.2.1 Principle of photoacoustic imaging
6.2.2 Multiscale photoacoustic microscopy and tomography
6.2.3 Photoacoustic contrast agents
6.2.4 Summary
6.3 Ultrasound Switchable Fluorescence Imaging
6.3.1 Principle of USF imaging
6.3.2 USF contrast agents
6.3.3 USF imaging systems
6.3.4 PMT-based and camera-based USF imaging system
6.3.5 Direct current, frequency-domain, and time-domain USF imaging system
6.3.6 In vivo USF imaging
6.3.7 Summary
6.4 Other Novel Multi-modal Imaging Techniques
6.5 Conclusion
7 Species-independent Pipeline for Quantitative Analysis of Electroencephalogram with Application in Classification of Traumatic Brain Injury in Mice and Humans
7.1 Introduction
7.2 Preprocessing
7.2.1 Independent component analysis
7.2.2 Thresholding
7.2.3 Filtering
7.3 Feature Extraction
7.3.1 Spectral features
7.3.2 Connectivity features
7.3.3 Time-domain features
7.3.4 Non-linear features
7.4 Feature Normalization
7.4.1 Log transformation
7.4.2 Age regression
7.4.3 Z-score standardization
7.5 Feature Selection
7.6 Train/Test Split
7.7 Rule-based ML
7.7.1 Decision tree and random forest
7.7.2 Support vector machine
7.7.3 k-Nearest neighbor
7.7.4 Extreme gradient boosting
7.8 Evaluation Metrics
7.9 Application: mTBI Detection and Classification in Mice and Humans
7.9.1 Data acquisition
7.9.2 Pipeline and tools used
7.9.3 Result
8 Novel Image Processing to Restore Scattered Light-sheet Microscopic Imaging Technique and its Application for Quantifying Biomechanics
8.1 Correcting Anisotropic Intensity in Light Sheet Images using Dehazing and Image Morphology
8.2 Feature Detection to Segment Cardiomyocytes for Investigating Cardiac Contractility
8.3 Summary
References
9 Assessment of Cardiac Functions in Developing Zebrafish using Imaging Techniques
9.1 Introduction
9.2 Image Processing Methods
9.2.1 Background subtraction
9.2.2 Morphological image processing
9.2.3 High-pass filter
9.2.4 Thresholding
9.2.5 Histogram equalization
9.2.6 Edge detection
9.2.7 Color filtering
9.2.8 Machine learning
9.3 Estimations in 2D Videos
9.4 Consistency of Measurement
9.5 Frame Rate Issue
9.5.1 Complications of measurements in mutant types

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