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Optical Spectroscopy And Imaging For Cancer Diagnostics: Fundamentals, Progress, And Challenges [Kietas viršelis]

Edited by (Univ Of Massachusetts Lowell, Usa)
  • Formatas: Hardback, 560 pages
  • Išleidimo metai: 03-Feb-2023
  • Leidėjas: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811258953
  • ISBN-13: 9789811258954
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 560 pages
  • Išleidimo metai: 03-Feb-2023
  • Leidėjas: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9811258953
  • ISBN-13: 9789811258954
Kitos knygos pagal šią temą:

This Is An Interdisciplinary Book That Presents The Applications Of Novel Laser Spectroscopy And Imaging Techniques For The Detection Of Cancers Recently Developed By Some Of The World'S Most Renown Researchers. The Book Consists Of Three Parts And A Total Of 16 Chapters. Each Chapter Is Written By Leading Experts Who Are Actively Seeking To Develop Novel Spectroscopic And Analytical Methods For Cancer Detection And Diagnosis. In Part I, The Authors Present Fundamentals On Optics, Atoms And Molecules, Biophysics, Cancer And Machine Learning. These Chapters Are Intended For Those Who Are Not Experts In The Field But Wish To Learn About Fundamentals' Aspects Of Some Of The Key Topics That Are Addressed In This Book. Particular Attention Has Been Given To Providing Key References For Those Who Wish To Go Further Into The Fundamental Aspects Of Atoms And Molecules, Light-Matter Interaction, Optical Instrumentation, Machine Learning And Cancer. In Part Ii, The Authors Present Key Applications Of Various Laser Spectroscopic Methods In Cancer Diagnosis. They Have Provided Recent Progress In Cancer Diagnostics Obtained By Combining Laser Spectroscopy And Machine Learning For The Analysis Of The Spectra Acquired From Biomedical Tissues And Biofluids. In Part Iii, The Authors Present Chapters That Discuss Key Developments In The Applications Of Various Laser Imaging Techniques For Cancer Detection. This Is One Of The Few Books That Addresses Cancer Detection And Diagnosis Using Laser Spectroscopic Tools With An Eye On Providing The Reader The Scientific Tools To Better Understand The Novelty That Laser Spectroscopy And Imaging Can Provide.

Foreword ix
Preface xiii
Contributing Authors xix
Part I Fundamentals
1(136)
Chapter 1 Cancer biology and the optical assessment of human tumors
3(26)
Michael J. Morin
Chapter 2 Light interaction with atoms and molecules
29(15)
S. Burgin Bayram
A. Marjatta Lyyra
Noureddine Melikechi
Chapter 3 Biomedical optics in a nutshell
44(36)
Caroline Boudoux
Chapter 4 Fundamentals of Optical Instrumentation for Spectroscopic and Imaging Applications
80(19)
Sabrina Messaoud Aberkane
El-Hachemi Amara
Noureddine Melikechi
Chapter 5 Cancer diagnosis using optical methods Fundamentals of classification with machine learning
99(38)
David D. Pokrajac
Part II Optical Spectroscopy
137(162)
Chapter 6 Exogenous fluorescence polarization imaging for cancer detection
139(42)
Androniki Mitrou
Anna N. Yaroslavsky
Chapter 7 Laser-ablation spectroscopy for imaging of tumor markers and nanoparticle labels
181(26)
Pavel Porizka
Pavlina Modlitbova
Noureddine Melikechi
Jozef Kaiser
Chapter 8 Application of ATR-FTIR spectroscopy to the study of blood sera of patients with breast cancer
207(27)
Vera Sitnikova
Tatiana Nosenko
Mayya Uspenskaya
Chapter 9 Diagnosis and staging of cancers using laser-induced breakdown spectroscopy and machine learning
234(22)
Xue Chen
Xiaohui Li
Noureddine Melikechi
Chapter 10 Raman spectroscopy and machine learning for diagnosis and monitoring of cancer
256(43)
Michael Greenop
Carlos A. Meza Ramirez
Ihtesham Ur Rehman
Part III Optical Imaging
299(230)
Chapter 11 Application of fluorescence lifetime imaging in cancer diagnosis
301(45)
Lixin Liu
Ping Xue
Junle Qu
Chapter 12 The role of machine learning and time-resolved autofluorescence imaging for intraoperative cancer margin delineation
346(54)
Jakob Linger
Mark Marsden
Takanori Fukazawa
Laura Marcu
Chapter 13 Laser Induced Breakdown Imaging of Biomedical Samples: A Short Review and Perspectives
400(17)
Vincent Motto-Ros
Lucie Sancey
Vincent Bonneterre
Benoit Busser
Chapter 14 Raman imaging, deep learning, and applications to cancer detection
417(56)
Daniel Greenfield
Saara Luna
Fotis Iliopoulos
Maria Alice Maciel Tabosa
Conor L. Evans
Chapter 15 Skin cancer detection using optical coherence tomography
473(23)
Brandon Lukas
Julia Roma May
Maria tsoukas
Kamran Avanaki
Chapter 16 White light interference phase microscopy with machine learning model for the study of biological cells and tissues
496(33)
Dalip Singh Mehta
Index 529