In this book, computational optical phase imaging techniques are presented along with Matlab codes that allow the reader to run their own simulations and gain a thorough understanding of the current state-of-the-art. The book focuses on modern applications of computational optical phase imaging in engineering measurements and biomedical imaging. Additionally, it discusses the future of computational optical phase imaging, especially in terms of system miniaturization and deep learning-based phase retrieval.

Autorentext

Cheng Liu is currently Professor in School of Science, Jiangnan University, China. He received his Ph.D. in 2003 from Shanghai Institute Optics and Fine Mechanics (SIOM), Chinese Academy of Science. From 2003 to 2011, he received his postdoctoral training in South Korea, Singapore, and United Kingdom, and joined Jiangnan University as a professor in Optical Engineering since 2011. He has published over 60 SCI papers and his research is mainly on optical imaging and optical metrology including ptychographic iterative engine, Fourier ptychographic imaging, the interferometry, digital holography, optical nonlinear imaging (fluorescence imaging, anti-stokes Raman scattering imaging), speckle interferometric metrology, coherent diffraction imaging etc. Currently his research mainly focuses on the ptychographic iterative engine, Fourier ptychographic imaging and computational imaging.

Shouyu Wang is currently Associate Professor in School of Science, Jiangnan University, China. He received his bachelor and Ph.D. degrees in optics both from Nanjing University of Science and Technology in China in 2010 and 2015. He has published over 50 peer-reviewed papers and his research mainly focuses on smart optical sensing and imaging. Suhas P Veetil is currently Associate Professor in School of Engineering Science and Technology at Higher Colleges of Technology, UAE. He received his Ph.D. in 2006 from Indian Institute of Technology Madras, India. He was a postdoctoral fellow under BrainKorea 21 fellowship in South Korea and also awarded DAAD fellowship, Germany. He has published several papers, and his research mainly focuses on the ptychographic iterative engine, Fourier ptychographic imaging and computational imaging.

Klappentext

This book illustrates a number of numerical and computational methods for phase recovery in order to reconstruct images with high fidelity that are hard to obtain with traditional brightness contrast imaging. It not only gives readers a theoretical and numerical background of some of the most advanced experimental and algorithmic methods, such as interferometry, coherent diffraction imaging (CDI), and transport of intensity equations (TIE), but it also allows readers to experiment with several MATLAB simulations to retrieve phase information from samples. The conditions for successful imaging are examined in light of reconstructed accuracy, computing cost and computing time. The book also goes over a few contemporary applications as well as recent AI-based discoveries.

Inhalt

(1) Basics of phase imaging 1.1 Basic principle of optical imaging

1.2 The relation of optical phase to sample structure

1.3 Why we need phase imaging

(2) Qualitative phase imaging methods

2.1 phase contrast microscopy

2.2 differential intensity contrast microscopy 2.3 Phase modulation imaging

(3) Quantitative phase imaging techniques

3.1Interferometry based phase imaging 3.2 Coherent diffraction imaging

3.3 Transport intensity equation 3.4 Phase imaging based on structured illumination and light modulation

3.5 Shark-Hartman sensing

(4)Some typical applications

4.1 Deformation and stress measurement

4.2 Unstained bio-sample observation 4.3 Optical element quality detection

4.4 High resolution and super-resolution imaging

4.5 Autofocusing and particle tracking

4.6 3-D imaging

4.7 Phase imaging in THz and X-ray

4.8 Point of care phase imaging