A review of common-path off-axis digital holography: towards high stable optical instrument manufacturing

Zhang, Jiwei; Dai, Shixun; Ma, Chaojie; Xi, Teli; Di, Jianglei; Zhao, Jianlin

doi:10.37188/lam.2021.023

Cited by 42 publications

(18 citation statements)

References 99 publications

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“…The noise suppression test is conducted on the testing sample once finishing the network training. A series of digital holograms were recorded by using a DHM with a common-path and a wavelength of 532 nm [29,30]. The phase images of the resolution board, HT22 cell and line board are numerically reconstructed in Figure 4A.…”

Section: Results and Conclusionmentioning

confidence: 99%

Coherent noise suppression in digital holographic microscopy based on label-free deep learning

Tang

Zhang

et al. 2022

Front. Phys.

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Deep learning techniques can be introduced into the digital holography to suppress the coherent noise. It is often necessary to first make a dataset of noisy and noise-free phase images to train the network. However, noise-free images are often difficult to obtain in practical holographic applications. Here we propose a label-free training algorithms based on self-supervised learning. A dilated blind spot network is built to learn from the real noisy phase images and a noise level function network to estimate a noise level function. Then they are trained together via maximizing the constrained negative log-likelihood and Bayes’ rule to generate a denoising phase image. The experimental results demonstrate that our method outperforms standard smoothing algorithms in accurately reconstructing the true phase image in digital holographic microscopy.

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Section: Results and Conclusionmentioning

confidence: 99%

Coherent noise suppression in digital holographic microscopy based on label-free deep learning

Tang

Zhang

et al. 2022

Front. Phys.

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“…This common-path setup benefits the object-free region of the other half spot as the reference wavefront, so the propagation path of the object and reference wavefronts is the same. The common-path design can improve the stability of the system simply and greatly but requires the sample to be sparse and sacrifices half of the field of view (FOV) (Zhang et al, 2021). After hologram acquisition, the doubleexposure method is implemented to compensate the system aberration, and the measured noisy phases of different samples are obtained by numerical reconstruction according to Eqs 1-4.…”

Section: Methodsmentioning

confidence: 99%

Coherent Noise Suppression of Single-Shot Digital Holographic Phase Via an Untrained Self-Supervised Network

Tang

Zhang

et al. 2022

Front. Photon.

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In digital holography, the coherent noise affects the measurement accuracy and reliability greatly due to the high spatial and temporal coherence of the laser. Especially, compared with the speckle noise of intensity in digital holography, the coherent noise of phase contains more medium- and low-frequency characteristics, which hinders the effectiveness of noise suppression algorithms. Here, we propose a single-shot untrained self-supervised network (SUSNet) for the coherent noise suppression of phase, requiring only one noisy phase map to complete the optimization and learning. The SUSNet can smoothen and suppress the background fluctuations, parasitic fringes, and diffraction loops in a noisy phase and shows good generalization performance for samples with different shapes, sizes, and phase ranges. Compared with the traditional algorithms and the ground truth-supervised neural network (DnCNN), the SUSNet has the best noise suppression performance and background smoothing effect. As a result, the SUSNet can suppress the fluctuation range to ∼20% of the original range.

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“…Although in an optical laboratory it is easy to eliminate both sources of inaccuracy, application of the technique in 'field' conditions can be somewhat complicated, which promotes development of common-path off-axis digital holography. [20][21][22] Reconstruction of the obtained offaxis digital holograms implied separation of the first diffraction order in the Fourier domain 23 and filtration of aberrations of the optical system, 24,25 when necessary (Fig. 1(c)).…”

Section: Quantitative Phase Imaging Of Live and Dead Cellsmentioning

confidence: 99%

Analysis of cellular response to photodynamic treatment with Radachlorin photosensitizer by means of quantitative phase microscopy using highly coherent and partially coherent light sources

Жихорева¹,

Белашов²,

Салова³

et al. 2022

Holography, Diffractive Optics, and Applications XII

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We report investigation of HeLa cells’ response to photodynamic treatment in vitro using three realizations of quantitative phase microscopy. Reconstruction of phase images was performed by means of off-axis digital holographic microscopy with coherent HeNe laser source, and two approaches utilizing partially coherent illumination: transport of intensity equation (TIE) and spatial light interference microscopy (SLIM). All of these methods can be successfully used for analysis of optical and morphological characteristics of living cells and cells exposed to photodynamic treatment, however each technique has its own advantages and disadvantages in implementation and data processing.

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A review of common-path off-axis digital holography: towards high stable optical instrument manufacturing

Cited by 42 publications

References 99 publications

Coherent noise suppression in digital holographic microscopy based on label-free deep learning

Coherent noise suppression in digital holographic microscopy based on label-free deep learning

Coherent Noise Suppression of Single-Shot Digital Holographic Phase Via an Untrained Self-Supervised Network

Analysis of cellular response to photodynamic treatment with Radachlorin photosensitizer by means of quantitative phase microscopy using highly coherent and partially coherent light sources

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