Dan Zhu – författare

Biomedical photonics is currently one of the fastest growing fields, connecting research in physics, optics, and electrical engineering coupled with medical and biological applications. It allows for the structural and functional analysis of tissues and cells with resolution and contrast unattainable by any other methods.

However, the major challenges of many biophotonics techniques are associated with the need to enhance imaging resolution even further to the sub-cellular level as well as translate them for in vivo studies. The tissue optical clearing method uses immersion of tissues into optical clearing agents (OCAs) that reduces the scattering of tissue and makes tissue more transparent and this method has been successfully used ever since.

This book is a self-contained introduction to tissue optical clearing, including the basic principles and in vitro biological applications, from in vitro to in vivo tissue optical clearing methods, and combination of tissue optical clearing and various optical imaging for diagnosis. The chapters cover a wide range of issues related to the field of tissue optical clearing: mechanisms of tissue optical clearing in vitro and in vivo; traditional and innovative optical clearing agents; recent achievements in optical clearing of different tissues (including pathological tissues) and blood for optical imaging diagnosis and therapy.

This book provides a comprehensive account of the latest research and possibilities of utilising optical clearing as an instrument for improving the diagnostic effectiveness of modern optical diagnostic methods.

The book is addressed to biophysicist researchers, graduate students and postdocs of biomedical specialties, as well as biomedical engineers and physicians interested in the development and application of optical methods in medicine.

Key features:

Biomedical photonics is currently one of the fastest growing fields, connecting research in physics, optics, and electrical engineering coupled with medical and biological applications. It allows for the structural and functional analysis of tissues and cells with resolution and contrast unattainable by any other methods.

However, the major challenges of many biophotonics techniques are associated with the need to enhance imaging resolution even further to the sub-cellular level as well as translate them for in vivo studies. The tissue optical clearing method uses immersion of tissues into optical clearing agents (OCAs) that reduces the scattering of tissue and makes tissue more transparent and this method has been successfully used ever since.

This book is a self-contained introduction to tissue optical clearing, including the basic principles and in vitro biological applications, from in vitro to in vivo tissue optical clearing methods, and combination of tissue optical clearing and various optical imaging for diagnosis. The chapters cover a wide range of issues related to the field of tissue optical clearing: mechanisms of tissue optical clearing in vitro and in vivo; traditional and innovative optical clearing agents; recent achievements in optical clearing of different tissues (including pathological tissues) and blood for optical imaging diagnosis and therapy.

This book provides a comprehensive account of the latest research and possibilities of utilising optical clearing as an instrument for improving the diagnostic effectiveness of modern optical diagnostic methods.

The book is addressed to biophysicist researchers, graduate students and postdocs of biomedical specialties, as well as biomedical engineers and physicians interested in the development and application of optical methods in medicine.

Key features:

This book investigates novel accurate and efficient privacy-preserving techniques and their applications in e-Healthcare services. The authors first provide an overview and a general architecture of e-Healthcare and delve into discussions on various applications within the e-Healthcare domain. Simultaneously, they analyze the privacy challenges in e-Healthcare services. Then, in Chapter 2, the authors give a comprehensive review of privacy-preserving and machine learning techniques applied in their proposed solutions. Specifically, Chapter 3 presents an efficient and privacy-preserving similar patient query scheme over high-dimensional and non-aligned genomic data; Chapter 4 and Chapter 5 respectively propose an accurate and privacy-preserving similar image retrieval scheme and medical pre-diagnosis scheme over dimension-related medical images and single-label medical records; Chapter 6 presents an efficient and privacy-preserving multi-disease simultaneous diagnosis scheme over medical records with multiple labels. Finally, the authors conclude the monograph and discuss future research directions of privacy-preserving e-Healthcare services in Chapter 7.