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Kategorie szczegółowe BISAC

Computational Optical Phase Imaging

ISBN-13: 9789811916434 / Angielski / Miękka / 2023

Cheng Liu;Shouyu Wang;Suhas P. Veetil
Computational Optical Phase Imaging Cheng Liu, Shouyu Wang, Suhas P. Veetil 9789811916434 Springer Nature Singapore - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Computational Optical Phase Imaging

ISBN-13: 9789811916434 / Angielski / Miękka / 2023

Cheng Liu;Shouyu Wang;Suhas P. Veetil
cena 564,88 zł
(netto: 537,98 VAT:  5%)

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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.

Kategorie:
Nauka, Fizyka
Wydawca:
Springer Nature Singapore
Seria wydawnicza:
Progress in Optical Science and Photonics
Język:
Angielski
ISBN-13:
9789811916434
Rok wydania:
2023
Waga:
0.48 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

(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

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.

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.



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