Bioimaging Modalities in Bioengineering

Inbunden, Engelska, 2025

Av Ibrahim Fatih Cengiz, Joaquim M. Oliveira, Rui L. Reis

3 329 kr

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This book provides a comprehensive and concise overview of the bioimaging tools used in preclinical research in life sciences. It is divided into three sections: Fundamentals and Applications of Bioimaging Tools in Preclinical Research, Functional, Quantitative, and Advanced Multimodal Approaches in Preclinical Bioimaging, and Emerging Technologies and Computational Advances in Bioimaging. While the first two sections cover fundamentals and preclinical applications of the bioimaging modalities, the third section focuses on emerging technologies including the use of artificial intelligence in bioimaging. Aiming to provide an concise overview of bioimaging modalities, this book will be an essential resource for researchers in the field of life sciences including bioengineering, tissue engineering, and regenerative medicine.

Produktinformation

Utgivningsdatum2025-09-01
Mått155 x 235 x 42 mm
Vikt1 172 g
FormatInbunden
SpråkEngelska
SerieBiomaterials, Bioengineering and Sustainability
Antal sidor666
FörlagSpringer International Publishing AG
ISBN9783031994098

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Ibrahim Fatih Cengiz, BSc, MSc, PhD, is a researcher in Tissue Engineering and Regenerative Medicine, with a particular interest in orthopedics, bioimaging, and preclinical models. He has been part of the 3B’s Research Group, University of Minho, Portugal, for over a decade. His academic background includes a PhD in Tissue Engineering, Regenerative Medicine, and Stem Cells, and an MSc in Biomedical Engineering. He has been a Marie Skłodowska-Curie Fellow. Dr. Cengiz has contributed to around 200 scientific outputs, including papers, book chapters, and communications. His research focuses on developing solutions to improve musculoskeletal health, and he has contributed to advances in meniscus tissue engineering.J. Miguel Oliveira BSc, PhD, FBSE is a Principal Investigator with Habilitation at the 3B's Research Group, member of the PT Government Associate Laboratory ICVS/3B’s and Institute 3Bs (I3Bs), University of Minho (Portugal). Over the years he has focused his work on the field of biomaterials for tissue engineering, nanomedicine, stem cells, and cell/drug delivery. He also set up a new research line within the ICVS/3B’s on 3D in vitro models for cancer research. He has been awarded several prizes including the prestigious “Investigador FCT 2012 and Investigador FCT 2015” attributed by FCT (Portugal), and Jean Leray Award 2015 from European Society for Biomaterials for Young Scientists for Outstanding Contributions within the field of Biomaterials.Rui L. Reis is the Dean/President of I3Bs – Research Institute for Biomaterials, Biodegradables and Biomimetics, founding Director of the 3B’s Research Group at the University of Minho, Full Professor of Tissue Engineering, Regenerative Medicine, Biomaterials and Stem Cells, the CEO of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, and the Director of the PT Government Associate Laboratory ICVS/3Bs from the University of Minho (Portugal). Prof. Reis was awarded with the IET Harvey Engineering Research Prize to create reliable breakthrough 3D engineered functional cancer disease models for an improved prediction and efficacy of cancer drugs.

Section I - Fundamentals and Applications of Bioimaging Tools in Preclinical Research.- Chapter 1 - Basics of Light Microscopy and Fluorescence Imaging.- Chapter 2 - Bioengineering Applications of Light Microscopy and Fluorescence Imaging.- Chapter 3 - Fundamentals of Optical Coherence Tomography.- Chapter 4 - Applications of Optical Coherence Tomography (OCT) in Preclinical Practice.- Chapter 5 - Basic Principles and Preclinical Applications of Magnetic Resonance Imaging (MRI).- Chapter 6 - Small Animal Preparation and Handling for MRI Applications.- Chapter 7 - Magnetic Resonance Imaging (MRI) Contrast Agents in Preclinical Oncology and Environmental Impact.- Chapter 8 - Fundamentals of Ultrasound Imaging.- Chapter 9 - Fundamentals and Applications of Micro-Computed Tomography.- Section II - Functional, Quantitative, and Advanced Multimodal Approaches in Preclinical Bioimaging.- Chapter 10 - 3D Histopathology of Musculoskeletal Tissues using Contrast-Enhanced MicroComputed Tomography.- Chapter 11 - Comprehensive Analysis of Cartilage Integrity with Cartilage Roughness Score from Micro-Computed Tomography.- Chapter 12 - Fundamentals of Photoacoustic Imaging.- Chapter 13 - Applications of Photoacoustic Imaging in Preclinical Research.- Chapter 14 - Fundamentals of Positron Emission Tomography (PET) and Its Integration with Magnetic Resonance Imaging (MRI).- Chapter 15 - Applications of Positron Emission Tomography (PET) in Preclinical Research.- Chapter 16 - Applications of Single-Photon Emission Computed Tomography (SPECT) in Preclinical Research.- Chapter 17 - Applications of Ultrasound (US) Imaging in Preclinical Research.- Chapter 18 - Preclinical Applications of Integration of Magnetic Resonance Imaging and Spectroscopy: Bridging Structural and Metabolic Information.- Section III - Emerging Technologies and Computational Advances in Bioimaging.- Chapter 19 - Thermoacoustic Imaging: Principles and Applications in Preclinical Research.- Chapter 20 - Applications of Raman Spectroscopy in Preclinical Bioimaging.- Chapter 21 - Applications of Photon-Counting Detector-Based Micro-Computed Tomography in Preclinical Bioimaging.- Chapter 22 - Intraoperative Tumor Margin Assessment with Photoacoustic Imaging.- Chapter 23 - Applications of Secondary Ion Mass Spectrometry Imaging in Preclinical Research.- Chapter 24 - Second Harmonic Generation Imaging in Preclinical Research.- Chapter 25 - Emerging Approaches in Metabolic Imaging Using Photoacoustics.- Chapter 26 - Laser Speckle Contrast Imaging in Preclinical Research: Recent Advances and Emerging Applications.- Chapter 27 - Integrating Surface-Enhanced Raman Scattering (SERS) Imaging and Artificial Intelligence (AI) for Advanced Bioimaging Modalities in Antimicrobial Resistance.- Chapter 28 - Applications of Computer Vision and Machine Learning in Bioimaging.- Chapter 29 - Quantifying Biological Processes in Motion and Across Scales.- Chapter 30 - Where Do We Stand in Preclinical Bioimaging: Synthesis and Perspectives.