Biomedical Vibrational Spectroscopy
Published in December 2009
Book
Hardback
296 pages
978-0-8138-2526-7 (ISBN)
Description
Key developments in the fields of optics, detectors, nanotechnology and computer science have contributed to the interest in biomedical vibrational spectroscopy. This reference provides a comprehensive overview of experimental and data analysis methodologies in vibrational spectroscopy and their biomedical applications. Prepared by international experts in the field of biomedical vibrational spectroscopy this book will be of value to professionals and researchers in biophysics, biomedicine, bioinformatics, and clinical and analytical chemistry.
More details
Persons
Peter Lasch, Ph.D. is a research scientist with the Robert-Koch Institut in Berlin.
Janina Kneipp, Ph.D. is a research scientist with the Federal Institut of Materials Research.
Janina Kneipp, Ph.D. is a research scientist with the Federal Institut of Materials Research.
Content
Book Chapters.
1. Preface.
Part I: Modern Applications in Biomedical IR and Raman Spectroscop.
2. Biomedical Vibrational Spectroscopy - Technical Aspects.
3. Infrared Spectroscopy of Biofluids in Clinical Chemistry and Medical Diagnostics.
4. Infrared Microspectroscopy and Imaging.
5. Vibrational Microspectroscopy of Cells and Tissues.
6. Raman Studies of Brain Tissue: New Probes and Approaches for in vivo Applications.
7. Accelerating Bacterial Identification by Infrared Spectroscopy by Employing Microarray Deposition of Microorganisms or Applications of MCT-FPA detectors for Rapid Identification of Microorganisms.
Part II: New Technical Approaches for in vivo and in situ Applications.
8. Single-Cell Resonance Raman microscopy.
9. Resonance and Aggregate Enhancement for in vivo Raman Imaging of Live Cells.
10. Non-Resonant Raman Contrast: CARS Imaging of Single Cells.
11. s-SNIM: High Lateral Resolution for Mid-IR Biospectroscopy.
12. Towards SERS-Based in vivo Nanosensors.
13. SERS Spectra from Sub-Cellular Structures in Living Cells.
Part III: Data Analysis for Diagnostic Applications.
14. Basic Concepts of Data Analysis in Biomedical Vibrational Spectroscopy.
15. New Concepts of Data Analysis in Biomedical Vibrational Spectroscopy and Imaging.
16. Out-of-Bag Error Estimation: An efficient Tool when Sample Sizes are Small.
17. Lessons Learned from Serum Analysis of TSE Infected Animals by FT-IR Spectroscopy and Artificial Neural Networks.
18. Interplay of Multivariate and Univariate Analyses of Vibrational Microscopy Data of Skin and Bone.
1. Preface.
Part I: Modern Applications in Biomedical IR and Raman Spectroscop.
2. Biomedical Vibrational Spectroscopy - Technical Aspects.
3. Infrared Spectroscopy of Biofluids in Clinical Chemistry and Medical Diagnostics.
4. Infrared Microspectroscopy and Imaging.
5. Vibrational Microspectroscopy of Cells and Tissues.
6. Raman Studies of Brain Tissue: New Probes and Approaches for in vivo Applications.
7. Accelerating Bacterial Identification by Infrared Spectroscopy by Employing Microarray Deposition of Microorganisms or Applications of MCT-FPA detectors for Rapid Identification of Microorganisms.
Part II: New Technical Approaches for in vivo and in situ Applications.
8. Single-Cell Resonance Raman microscopy.
9. Resonance and Aggregate Enhancement for in vivo Raman Imaging of Live Cells.
10. Non-Resonant Raman Contrast: CARS Imaging of Single Cells.
11. s-SNIM: High Lateral Resolution for Mid-IR Biospectroscopy.
12. Towards SERS-Based in vivo Nanosensors.
13. SERS Spectra from Sub-Cellular Structures in Living Cells.
Part III: Data Analysis for Diagnostic Applications.
14. Basic Concepts of Data Analysis in Biomedical Vibrational Spectroscopy.
15. New Concepts of Data Analysis in Biomedical Vibrational Spectroscopy and Imaging.
16. Out-of-Bag Error Estimation: An efficient Tool when Sample Sizes are Small.
17. Lessons Learned from Serum Analysis of TSE Infected Animals by FT-IR Spectroscopy and Artificial Neural Networks.
18. Interplay of Multivariate and Univariate Analyses of Vibrational Microscopy Data of Skin and Bone.