631 research outputs found
Limits of Elemental Contrast by Low Energy Electron Point Source Holography
Motivated by the need for less destructive imaging of nanostructures, we
pursue point-source in-line holography (also known as point projection
microscopy, or PPM) with very low energy electrons (-100 eV). This technique
exploits the recent creation of ultrasharp and robust nanotips, which can field
emit electrons from a single atom at their apex, thus creating a path to an
extremely coherent source of electrons for holography. Our method has the
potential to achieve atom resolved images of nanostructures including
biological molecules. We demonstrate a further advantage of PPM emerging from
the fact that the very low energy electrons employed experience a large elastic
scattering cross section relative to many-keV electrons. Moreover, the
variation of scattering factors as a function of atom type allows for enhanced
elemental contrast. Low energy electrons arguably offer the further advantage
of causing minimum damage to most materials. Model results for small molecules
and adatoms on graphene substrates, where very small damage is expected,
indicate that a phase contrast is obtainable between elements with
significantly different Z-numbers. For example, for typical setup parameters,
atoms such as C and P are discernible, while C and N are not.Comment: 15 pages, 5 figure
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μ λ°μ μ κΈ°μ¬ν μ μκΈ°λ₯Ό κΈ°λνλ€.Understanding light as a wave makes it possible to interpret a variety of phenomena, including interference and diffraction. By modulating the complex amplitude of the wave, hologram, three-dimensional imaging, and three-dimensional display system, called future technologies, can be implemented that surpass the currently commercialized optical engineering devices. Although a lot of research has been conducted to develop and commercialize the wave optical system, state-of-the-art devices are still far from the performance expected by the public due to the limited space-bandwidth product (SBP).
This dissertation presents the studies on high SBP for complex amplitude imaging and display systems. The performance of a complex amplitude modulating system is limited by the SBP, which represents the amount of information in the optical system. To improve the SBP of the complex amplitude in a limited amount of information, the author applies various multiplexing techniques suitable for the implemented system. In practice, the spatial frequency multiplexed digital holography is devised by efficiently allocating frequency bandwidth with dual-wavelength light sources. The author also applies illumination multiplexing to the single-shot Fourier ptychography to expand the amount of information recorded in the image sensor. Computational reconstruction algorithm combined with novel optical design allows the acquired multiplexed information to be decomposed in the imaging system, leading to improvement of size of the image or resolution. Furthermore, the author applied illumination multiplexing and temporal multiplexing techniques to holographic displays. The multiplexed information is decomposed by a combination of human perceptual temporal bandwidth and spatial filtering. The SBP enhanced holographic display is implemented, providing a more wide viewing angle.
It is expected that this thesis will contribute to the development of the imaging and display fields, which share a common problem of small SBP. The author hopes that the proposed methods will inspire various researchers to approach the implementation of complex amplitude modulating systems, and various future industries, including 3-D inspection, holography, virtual reality, and augmented reality will be realized with high-performance.Abstract i
Contents iii
List of Tables vi
List of Figures vii
1 Introduction 1
1.1 Complex Amplitude of Wave 1
1.2 Complex Amplitude Optical System 3
1.3 Motivation and Purpose of the Dissertation 5
1.4 Scope and Organization 8
2 Space-Bandwidth Product 10
2.1 Overview of Space-Bandwidth Product 10
2.2 Space-Bandwidth Product of Complex Amplitude Imaging Systems 11
2.3 Space-Bandwidth Product of Complex Amplitude Display Systems 13
3 Double Size Complex Amplitude Imaging via Digital Holography 15
3.1 Introduction 15
3.1.1 Digital Holography 16
3.1.2 Frequency Multiplexed Digital Holography 22
3.1.3 Adaptation of Diffractive Grating for Simple Interferometer 24
3.2 Principle 26
3.2.1 Single Diffraction Grating Off-Axis Digital Holography 26
3.2.2 Double Size Implementation with Multiplexed Illumination 29
3.3 Implementation 32
3.4 Experimental Results 34
3.4.1 Resolution Assessment 34
3.4.2 Imaging Result 36
3.4.3 Quantitative 3-D Measurement 38
3.5 Conclusion 42
4 High-Resolution Complex Amplitude Imaging via Fourier Ptychographic Microscopy 43
4.1 Introduction 43
4.1.1 Phase Retrieval 45
4.1.2 Fourier Ptychographic Microscopy 47
4.2 Principle 52
4.2.1 Imaging System for Single-Shot Fourier Ptychographic Microscopy 52
4.2.2 Multiplexed Illumination 55
4.2.3 Reconstruction Algorithm 58
4.3 Implementation 60
4.3.1 Numerical Simulation 60
4.3.2 System Design 64
4.4 Results and Assessment 65
4.4.1 Resolution 65
4.4.2 Phase Retrieval of Biological Specimen 68
4.5 Discussion 71
4.6 Conclusion 73
5 Viewing Angle Enhancement for Holographic Display 74
5.1 Introduction 74
5.1.1 Complex Amplitude Representation 76
5.1.2 DMD Holographic Displays 79
5.2 Principle 81
5.2.1 Structured Illumination 81
5.2.2 TM with Array System 83
5.2.3 Time Domain Design 84
5.3 Implementation 85
5.3.1 Hardware Design 85
5.3.2 Frequency Domain Design 85
5.3.3 Aberration Correction 87
5.4 Results 88
5.5 Discussion 92
5.5.1 Speckle 92
5.5.2 Applications for Near-eye Displays 94
5.6 Conclusion 99
6 Conclusion 100
Appendix 116
Abstract (In Korean) 117Docto
On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from
its intensity measurements. As exemplified from quantitative phase imaging and
coherent diffraction imaging to adaptive optics, PR is essential for
reconstructing the refractive index distribution or topography of an object and
correcting the aberration of an imaging system. In recent years, deep learning
(DL), often implemented through deep neural networks, has provided
unprecedented support for computational imaging, leading to more efficient
solutions for various PR problems. In this review, we first briefly introduce
conventional methods for PR. Then, we review how DL provides support for PR
from the following three stages, namely, pre-processing, in-processing, and
post-processing. We also review how DL is used in phase image processing.
Finally, we summarize the work in DL for PR and outlook on how to better use DL
to improve the reliability and efficiency in PR. Furthermore, we present a
live-updating resource (https://github.com/kqwang/phase-recovery) for readers
to learn more about PR.Comment: 82 pages, 32 figure
Dual-plane coupled phase retrieval for non-prior holographic imaging
AbstractAccurate depiction of waves in temporal and spatial is essential to the investigation of interactions between physical objects and waves. Digital holography (DH) can perform quantitative analysis of waveβmatter interactions. Full detector-bandwidth reconstruction can be realized based on in-line DH. But the overlapping of twin images strongly prevents quantitative analysis. For off-axis DH, the object wave and the detector bandwidth need to satisfy certain conditions to perform reconstruction accurately. Here, we present a reliable approach involving a coupled configuration for combining two in-line holograms and one off-axis hologram, using a rapidly converging iterative procedure based on two-plane coupled phase retrieval (TwPCPR) method. It realizes a fast-convergence holographic calculation method. High-resolution and full-field reconstruction by exploiting the full bandwidth are demonstrated for complex-amplitude reconstruction. Off-axis optimization phase provides an effective initial guess to avoid stagnation and minimize the required measurements of multi-plane phase retrieval. The proposed strategy works well for more extended samples without any prior assumptions of the objects including support, non-negative, sparse constraints, etc. It helps to enhance and empower applications in wavefront sensing, computational microscopy and biological tissue analysis
Non-iterative complex wave-field reconstruction based on Kramers-Kronig relations
A new computational imaging method to reconstruct the complex wave-field is reported. Due to the existence of zero frequency component, the measured signal by amplitude modulation of pupil has a spectrum similar to the one of off-axis hologram. The mathematical analogy between them is established in this paper. Based on this observation and analyticity of band-limited signal under any diffraction-limited system, an algorithm from Kramers-Kronig (KK) relations is utilized to recover the phase information only from the intensity patterns. From the sensing side, only two measurements are required at least. From the reconstruction algorithm side, our method is iteration-free and parameter-free, also without any assumption on sample characteristics. It owns several advantages over existing phase imaging methods and could provide a unique perspective to understand current computational imaging methods
Holographic fast gradient light interference microscopy (HF-GLIM)
Quantitative phase imaging has been an emerging technique in the field of biomedical imaging. As
one type, gradient light interference microscopy (GLIM) is used to retrieve a quantitative gradient
mapping of the phase delay that is produced by a biological sample. The method involves collecting
four phase-shifted frames for a single field of view, which ultimately combines arithmetically
into phase gradient information. The phase-shifting is done by a space light modulator (SLM)
which intakes an appropriate voltage that converts into a corresponding phase retardation in the
image field. Despite GLIMβs ability to generate a quantitative phase gradient of a sample, such
module depends heavily on the operational speed of the SLM. The holographic fast gradient light
interference microscopy (HF-GLIM) aims to retrieve a field of view with only a single image from
the conventional differential interference contrast microscope (DIC), and is sent to a tilted Sagnac
interferometer to create a holographic output at the camera. Through digital processing of the
Hologram using Fourier filtering, the phase gradient that is given by the sample can be retrieved
only through a single recording instance from the HF-GLIM. The publication aims to derive the
functionality of HF-GLIM utilizing a mathematical derivation, geometrical analysis, and the simulation
results.Ope
High-resolution transport-of-intensity quantitative phase microscopy with annular illumination
For quantitative phase imaging (QPI) based on transport-of-intensity equation
(TIE), partially coherent illumination provides speckle-free imaging,
compatibility with brightfield microscopy, and transverse resolution beyond
coherent diffraction limit. Unfortunately, in a conventional microscope with
circular illumination aperture, partial coherence tends to diminish the phase
contrast, exacerbating the inherent noise-to-resolution tradeoff in TIE
imaging, resulting in strong low-frequency artifacts and compromised imaging
resolution. Here, we demonstrate how these issues can be effectively addressed
by replacing the conventional circular illumination aperture with an annular
one. The matched annular illumination not only strongly boosts the phase
contrast for low spatial frequencies, but significantly improves the practical
imaging resolution to near the incoherent diffraction limit. By incorporating
high-numerical aperture (NA) illumination as well as high-NA objective, it is
shown, for the first time, that TIE phase imaging can achieve a transverse
resolution up to 208 nm, corresponding to an effective NA of 2.66. Time-lapse
imaging of in vitro Hela cells revealing cellular morphology and subcellular
dynamics during cells mitosis and apoptosis is exemplified. Given its
capability for high-resolution QPI as well as the compatibility with widely
available brightfield microscopy hardware, the proposed approach is expected to
be adopted by the wider biology and medicine community.Comment: This manuscript was originally submitted on 20 Feb. 201
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