Quantitative phase imaging via the holomorphic property of complex optical fields

Oh, Jeong-hun; Hugonnet, Hervé; Park, Yong Keun

doi:10.1103/physrevresearch.5.l022014

Cited by 4 publications

(1 citation statement)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Holographic imaging technically requires an interferometric setup, a coherent source, and long-term stability. By modulating the k -space of the sample wave, it is possible to achieve complex-amplitude reconstruction from single intensity measurement by using KK relations 243 . As shown in Fig.…”

Section: Modern Phase Measurement Methodsmentioning

confidence: 99%

Quantitative phase imaging based on holography: trends and new perspectives

Huang,

Cao

2024

Light Sci Appl

View full text Add to dashboard Cite

In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to a quantitative description of the optical wavefront. After 75 years of development, holographic imaging has become a powerful tool for optical wavefront measurement and quantitative phase imaging. The emergence of this technology has given fresh energy to physics, biology, and materials science. Digital holography (DH) possesses the quantitative advantages of wide-field, non-contact, precise, and dynamic measurement capability for complex-waves. DH has unique capabilities for the propagation of optical fields by measuring light scattering with phase information. It offers quantitative visualization of the refractive index and thickness distribution of weak absorption samples, which plays a vital role in the pathophysiology of various diseases and the characterization of various materials. It provides a possibility to bridge the gap between the imaging and scattering disciplines. The propagation of wavefront is described by the complex amplitude. The complex-value in the complex-domain is reconstructed from the intensity-value measurement by camera in the real-domain. Here, we regard the process of holographic recording and reconstruction as a transformation between complex-domain and real-domain, and discuss the mathematics and physical principles of reconstruction. We review the DH in underlying principles, technical approaches, and the breadth of applications. We conclude with emerging challenges and opportunities based on combining holographic imaging with other methodologies that expand the scope and utility of holographic imaging even further. The multidisciplinary nature brings technology and application experts together in label-free cell biology, analytical chemistry, clinical sciences, wavefront sensing, and semiconductor production.

show abstract

Section: Modern Phase Measurement Methodsmentioning

confidence: 99%

Quantitative phase imaging based on holography: trends and new perspectives

Huang,

Cao

2024

Light Sci Appl

View full text Add to dashboard Cite

show abstract

Roadmap on computational methods in optical imaging and holography [invited]

Rosen,

Alford,

Allan

et al. 2024

Appl. Phys. B

View full text Add to dashboard Cite

Computational methods have been established as cornerstones in optical imaging and holography in recent years. Every year, the dependence of optical imaging and holography on computational methods is increasing significantly to the extent that optical methods and components are being completely and efficiently replaced with computational methods at low cost. This roadmap reviews the current scenario in four major areas namely incoherent digital holography, quantitative phase imaging, imaging through scattering layers, and super-resolution imaging. In addition to registering the perspectives of the modern-day architects of the above research areas, the roadmap also reports some of the latest studies on the topic. Computational codes and pseudocodes are presented for computational methods in a plug-and-play fashion for readers to not only read and understand but also practice the latest algorithms with their data. We believe that this roadmap will be a valuable tool for analyzing the current trends in computational methods to predict and prepare the future of computational methods in optical imaging and holography.

show abstract

Single-frame two-color illumination computational imaging based on Kramers–Kronig relations

Li,

Huang,

et al. 2023

Applied Physics Letters

View full text Add to dashboard Cite

Annular-illumination quantitative phase imaging based on Kramers–Kronig relations (AIKK) achieves a large space-bandwidth-time product. The reconstruction algorithm is non-iteration, parameter-free, and object-independent constitutionally. Based on the observation and analyticity of intensity spectrum characteristics and symmetry in spatial and frequency domains, we propose a single-frame two-color illumination imaging based AIKK (SFTC-AIKK). In addition, we apply the two-color mode to synthetic aperture imaging, and only one measurement is sufficient with a monochrome camera. We employ SFTC-AIKK to achieve resolution corresponding to nearly two times the objective NA at camera-limited frame rate to applications with observing dynamic target at various spatial and temporal scales.

show abstract

Quantitative phase imaging via the holomorphic property of complex optical fields

Cited by 4 publications

References 70 publications

Quantitative phase imaging based on holography: trends and new perspectives

Quantitative phase imaging based on holography: trends and new perspectives

Roadmap on computational methods in optical imaging and holography [invited]

Single-frame two-color illumination computational imaging based on Kramers–Kronig relations

Contact Info

Product

Resources

About