Intensity-based holographic imaging via space-domain Kramers–Kronig relations

Baek, YoonSeok; Park, Yong Keun

doi:10.1038/s41566-021-00760-8

Cited by 124 publications

(69 citation statements)

References 53 publications

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“…We note that the range of applications is not limited to isotropic ODT. The proposed method is compatible with other ODT techniques that employ incoherent sources [40][41][42] . Besides RI tomography, it is also possible to retrieve the 3D absorptivity maps of chromophores 43 .…”

Section: Discussionmentioning

confidence: 87%

Isotropically resolved label-free tomographic imaging based on tomographic moulds for optical trapping

Lee

et al. 2021

Light Sci Appl

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A major challenge in three-dimensional (3D) microscopy is to obtain accurate spatial information while simultaneously keeping the microscopic samples in their native states. In conventional 3D microscopy, axial resolution is inferior to spatial resolution due to the inaccessibility to side scattering signals. In this study, we demonstrate the isotropic microtomography of free-floating samples by optically rotating a sample. Contrary to previous approaches using optical tweezers with multiple foci which are only applicable to simple shapes, we exploited 3D structured light traps that can stably rotate freestanding complex-shaped microscopic specimens, and side scattering information is measured at various sample orientations to achieve isotropic resolution. The proposed method yields an isotropic resolution of 230 nm and captures structural details of colloidal multimers and live red blood cells, which are inaccessible using conventional tomographic microscopy. We envision that the proposed approach can be deployed for solving diverse imaging problems that are beyond the examples shown here.

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Section: Discussionmentioning

confidence: 87%

Isotropically resolved label-free tomographic imaging based on tomographic moulds for optical trapping

Lee

et al. 2021

Light Sci Appl

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“…The 1D analyticity condition can be extended to a 2D condition with an additional condition

ℱ [α (r)] (k_{1} = 0, k_{2}) = 0

. [ 39,40,61 ] Therefore, the sample's function needs to meet two conditions: first, the samples are bandwidth limited, which is easy to meet because the general optical system can usually be regarded as a bandwidth‐limited system. Second, each complete spectrum of the samples is moved to the positive half axis of the SFD by introducing a reference wave in the off‐axis configuration.…”

Section: Principle and Methodsmentioning

confidence: 99%

“…[ 39 ] It introduced analytical conditions to negate the conventional off‐axis holography requirement of a quarter of the sensor bandwidth. They further achieved 3D refractive index tomography of microscopic objects by using intensity‐based detection, [ 40 ] significantly improving the application potential of high‐throughput holographic imaging.…”

Section: Introductionmentioning

confidence: 99%

High Bandwidth‐Utilization Digital Holographic Multiplexing: An Approach Using Kramers–Kronig Relations

Huang

Cao

2022

Advanced Photonics Research

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Modern quantitative optical imaging is developing toward high throughput and powerful data processing capabilities. Holography is a powerful technique to characterize quantitative phase delays introduced by light–matter interactions. The spatial bandwidth utilization of imaging sensors in digital holography can be expanded via an off‐axis multiplexing technique, which is a powerful tool for high‐throughput quantitative optical imaging. However, the highest bandwidth utilization of sensor is limited at 58.9% to keep the signal spectra away from the zeroth spectra. Kramers–Kronig relation is introduced into the off‐axis multiplexing technology to allow for the overlapping between the signal spectra and unwanted spectra. The bandwidth utilization of sensor in a diffraction‐limited optical system can reach 78.5% in one hologram. It opens a new route to multiplexing quantitative optical imaging and helps to improve the performance of iterative‐free and constraint‐free modern optical microscopes in various spectral regimes.

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“…These include beam propagation [102], multi-slice Born approximation [103], and gradient computations based on the Lippmann-Schwinger equation [104]. Imaging throughput has been improved by reducing the loss of spatial bandwidth [105,106] and by utilizing Fourier ptychography with LED arrays [107,108]. Advances in optical systems have also contributed to 3D QPI.…”

Section: Advances In Science and Technology To Meet Challengesmentioning

confidence: 99%

Roadmap on Digital Holography-Based Quantitative Phase Imaging

et al. 2021

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Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses the present and future perspectives of 2D and 3D QPI research based on digital holographic microscopy, holographic tomography, and their applications.

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Intensity-based holographic imaging via space-domain Kramers–Kronig relations

Cited by 124 publications

References 53 publications

Isotropically resolved label-free tomographic imaging based on tomographic moulds for optical trapping

Isotropically resolved label-free tomographic imaging based on tomographic moulds for optical trapping

High Bandwidth‐Utilization Digital Holographic Multiplexing: An Approach Using Kramers–Kronig Relations

Roadmap on Digital Holography-Based Quantitative Phase Imaging

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