CITATION

Srinivasan, Gokulakrishnan. Vibrational Spectroscopic Imaging for Biomedical Applications. US: McGraw-Hill Professional, 2010.

Vibrational Spectroscopic Imaging for Biomedical Applications

Published:  August 2010

eISBN: 9780071597081 0071597085 | ISBN: 9780071596992
  • Contents
  • Contributors
  • Preface
  • 1 Toward Automated Breast Histopathology Using Mid-IR Spectroscopic Imaging
  • 1.1 Introduction
  • 1.1.1 FT-IR Imaging
  • 1.1.2 FT-IR Spectroscopic Characterization of Cells and Tissues
  • 1.1.3 FT-IR Imaging for Pathology
  • 1.1.4 High-Throughput Sampling
  • 1.1.5 Modified Bayesian Classification and Automated Tissue Histopathology
  • 1.2 Materials and Methods
  • 1.2.1 Models for Spectral Recognition and Analysis of Class Data
  • 1.2.2 Automated Metric Selection and Classification Protocol Optimization
  • 1.2.3 Spectral Metrics and Biochemical Basis
  • 1.2.4 Validation and Dependence on Experimental Parameters
  • 1.2.5 Application for Cancer Pixel Segmentation
  • 1.2.6 Application for Patient Cancer Segmentation
  • 1.3 Conclusions
  • References
  • 2 Synchrotron-Based FTIR Spectromicroscopy and Imaging of Single Algal Cells and Cartilage
  • 2.1 Introduction
  • 2.2 IR Environmental Imaging
  • 2.2.1 Beamline Design and Implementation
  • 2.2.2 Initial Measurements with IRENI
  • 2.3 Flow Cell for In Vivo IR Microspectroscopy of Biological Samples
  • 2.3.1 Flow Chamber Design
  • 2.3.2 Mid-IR and Vis Measurements
  • 2.3.3 Viability Tests: PAM Fluorescence Measurements
  • 2.3.4 Initial Flow Cell Measurements with IRENI
  • 2.4 Biomedical Application: Calcium-Containing Crystals in Arthritic Cartilage
  • 2.4.1 Calcium-Containing Crystals and Arthritis
  • 2.4.2 Current Methods of Crystal Identification
  • 2.4.3 Biologic Models of Calcium- Containing Crystal Formation
  • 2.4.4 Synchrotron-Based FTIR Microspectroscopy Spectral Analysis of Calcium-Containing Crystals
  • 2.5 Future Directions: In Vivo Kinetics of Pathological Mineralization and Phytoplankton Adaptation
  • Acknowledgments
  • References
  • 3 Preparation of Tissues and Cells for Infrared and Raman Spectroscopy and Imaging
  • 3.1 Introduction
  • 3.2 Tissue Preparation
  • 3.2.1 Archived Tissue: Paraffin Embedded and Frozen Specimens
  • 3.2.2 Preparation of Tissues for Diagnostic Assessment Using FTIR and Raman Microspectroscopy
  • 3.2.3 The Effects of Xylene on Fixed Tissue and Deparaffinization of Paraffin-Embedded Tissue
  • 3.3 Cell Preparation
  • 3.3.1 Chemical Fixation for FTIR and Raman Imaging
  • 3.3.2 Sample Preparation for Biomechanistic Studies
  • 3.3.3 Growth Medium and Substrate Effects on Spectroscopic Examination of Cells
  • 3.3.4 Preparation of Living Cells for FTIR and Raman Studies
  • 3.4 Summary
  • Acknowledgments
  • References
  • 4 Evanescent Wave Imaging
  • 4.1 Introduction
  • 4.2 Theoretical Considerations
  • 4.3 Historical Development
  • 4.4 Experimental Implementation
  • 4.5 Benefits of ATR Microspectroscopic Imaging for Biological Sections
  • 4.6 Macro ATR Imaging
  • 4.7 ATR Microspectroscopic Raman Imaging
  • 4.8 Conclusions
  • References
  • 5 sFTIR, Raman, and SERS Imaging of Fungal Cells
  • 5.1 Introduction
  • 5.2 Introduction to Fungi
  • 5.2.1 Specimen Preparation
  • 5.3 Vibrational Spectroscopy
  • 5.3.1 Spectral Resolution
  • 5.3.2 Spatial Resolution
  • 5.4 sFTIR Spectra of Fungi
  • 5.4.1 Physical Considerations and Spectral Anomalies in sFTIR Spectra
  • 5.5 Raman Spectroscopy of Fungi
  • 5.5.1 Raman Map from a Hypha, at Growing Tip
  • 5.5.2 Raman Map of Spore Branch
  • 5.5.3 Detection of Crystalline Materials by IR and Raman
  • 5.6 SERS Discovery and Development
  • 5.6.1 Substrates: The Key to SERS Imaging
  • 5.6.2 SERS: Applications for Fungi
  • 5.7 Conclusions: Lessons Learned, Caveats, Challenges, Promise
  • Acknowledgments
  • References
  • 6 Widefield Raman Imaging of Cells and Tissues
  • 6.1 Introduction
  • 6.2 Generation of Raman Images
  • 6.2.1 Point Mapping
  • 6.2.2 Line Mapping
  • 6.2.3 Other Modes of Generating Raman Images
  • 6.2.4 Widefield Imaging
  • 6.3 Raman Imaging of Cells and Tissues
  • 6.4 Background and Image Preprocessing Steps for Widefield Raman Images
  • 6.4.1 Fluorescence
  • 6.4.2 Correction for Dark Current
  • 6.4.3 Cosmic Filtering
  • 6.4.4 Instrument Response Correction
  • 6.4.5 Flatfielding
  • 6.4.6 Baseline Correction
  • 6.4.7 Normalization
  • 6.4.8 Smoothing
  • 6.5 Chemometric Analysis of Widefield Raman Images
  • 6.5.1 Principal Component Analysis
  • 6.5.2 Mahalanobis and Euclidean Distance
  • 6.5.3 Spectral Mixture Resolution
  • 6.5.4 Derivatives
  • 6.6 Chemometrics in the Analysis of Non-Widefield Raman Images
  • 6.6.1 PCA
  • 6.6.2 Linear Discriminant Analysis
  • 6.7 Conclusions
  • References
  • 7 Resonance Raman Imaging and Quantification of Carotenoid Antioxidants in the Human Retina and Skin
  • 7.1 Introduction
  • 7.2 Optical Properties and Resonance Raman Scattering of Carotenoids
  • 7.3 Spatially Integrated Resonance Raman Measurements of Macular Pigment
  • 7.4 Spatially Resolved Resonance Raman Imaging of Macular Pigment—Methodology and Validation Experiments
  • 7.5 Spatially Resolved Resonance Raman Imaging of Macular Pigment in Human Subjects
  • 7.6 Raman Detection of Carotenoids in Living Human Skin
  • 7.7 Conclusions
  • References
  • 8 Raman Microscopy for Biomedical Applications: Toward an Efficient Diagnosis of Tissues, Cells, and Bacteria
  • 8.1 Introduction
  • 8.2 Raman Imaging of Tissue
  • 8.2.1 Mouse Brains
  • 8.2.2 Human Brain Tumors
  • 8.2.3 Human Colon Tissue
  • 8.2.4 Human Lung Tissue
  • 8.3 Raman Imaging of Cells
  • 8.3.1 Lung Fibroblast Cells
  • 8.3.2 Red Blood Cells
  • 8.4 Raman Spectroscopy of Bacteria
  • 8.4.1 Species Classification
  • 8.4.2 Imaging Single Bacteria
  • 8.5 Conclusions
  • Acknowledgments
  • References
  • 9 The Current State of Raman Imaging in Clinical Application
  • 9.1 Introduction
  • 9.1.1 History
  • 9.1.2 Principles
  • 9.2 Instrumentation
  • 9.2.1 Laser
  • 9.2.2 Microscope
  • 9.2.3 Filters
  • 9.2.4 Spectrometer
  • 9.2.5 CCD
  • 9.3 Imaging Techniques
  • 9.4 Data Analysis: Spectra to Image(s)
  • 9.4.1 Classification Techniques
  • 9.4.2 Quantification Techniques
  • 9.5 Raman Mapping and Imaging in Bioscience
  • 9.5.1 Single Cells
  • 9.5.2 Tissues
  • 9.6 Limitations and Perspectives
  • References
  • 10 Vibrational Spectroscopic Imaging of Microscopic Stress Patterns in Biomedical Materials
  • 10.1 Introduction
  • 10.2 Principles of Raman Spectroscopy
  • 10.3 Raman Effect in Biological and Synthetic Biomaterials
  • 10.3.1 Spectral Features
  • 10.3.2 PS Behavior
  • 10.4 Visualization of Microscopic Stress Patternsin Biomaterials
  • 10.4.1 Micromechanics of Fracture and Crack-Tip Stress Relaxation Mechanisms
  • 10.4.2 Residual Stress Patterns on Ceramic-Bearing Surfaces of Artificial Hip Joints
  • 10.5 Conclusions
  • References
  • 11 Tissue Imaging with Coherent Anti-Stokes Raman Scattering Microscopy
  • 11.1 From Spontaneous to Coherent Raman Spectroscopy
  • 11.2 The Birth of CARS Microscopy
  • 11.2.1 First Generation CARS Microscopes
  • 11.2.2 Second Generation CARS Microscopes
  • 11.3 CARS Basics
  • 11.3.1 Nonlinear Electron Motions
  • 11.3.2 Resonant and Nonresonant Contributions
  • 11.4 CARS by the Numbers
  • 11.4.1 Signal Generation in Focus with Pulsed Excitation
  • 11.4.2 Photodamaging
  • 11.4.3 CARS Chemical Selectivity
  • 11.4.4 CARS Sensitivity
  • 11.5 CARS and the Multimodal Microscope
  • 11.6 CARS in Tissues
  • 11.6.1 Focusing in Tissues
  • 11.6.2 Backscattering in Tissues
  • 11.6.3 Typical Endogenous Tissue Components
  • 11.7 CARS Biomedical Imaging
  • 11.7.1 Ex Vivo Nonlinear Imaging
  • 11.7.2 In Vivo Nonlinear Imaging
  • 11.8 What Lies at the Horizon?
  • Acknowledgments
  • References
  • Index