Phase compensation in digital holographic microscopy using a quantitative evaluation metric

Wang, Huaying; Dong, Zhao; Wang, Xue; Lou, Yuli; Xi, Sixing

doi:10.1016/j.optcom.2018.08.061

Cited by 19 publications

(8 citation statements)

References 28 publications

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“…The removal of quadratic phase aberration by softwarebased methods has also been investigated (Liu et al, 2018). Computer simulations of quadratic phase compensation (Colomb et al, 2006;Wang et al, 2019), least squares surface fitting compensation (Di et al, 2009), and automatic spectral energy analysis (Liu et al, 2014) have also been proven successfully. Most recently, deep learning compensation based on convolutional neural network has also shown great success (Nguyen et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Elimination of Quadratic Phase Aberration in Digital Holographic Microscopy by Using Transport of Intensity

et al. 2022

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We propose to reconstruct 3D images by combining the merits of transport of intensity and digital holography. The proposed method solves the transport-of-intensity equation by using digital holographic reconstructed images as inputs. Our simulation and experimental results show that this method can eliminate quadratic phase aberration introduced by the microscope objective in digital holographic microscopy. This proposed phase retrieval method is free of phase unwrapping process. It is thus efficient in removing quadratic phase aberration introduced by the microscope objective.

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Section: Introductionmentioning

confidence: 99%

Elimination of Quadratic Phase Aberration in Digital Holographic Microscopy by Using Transport of Intensity

et al. 2022

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“…Common-path off-axis digital holographic microscopy (CO-DHM) system based on grating diffraction, as a typical and simple DHM, can realize high-stability non-contact real-time dynamic monitoring of samples [13,14]. The system uses a classic optical microscope and is equipped with an additional diffraction module [15][16][17][18]. The object-reference light interference pattern is obtained on the camera plane by using grating beam splitting and the diffraction field spectrum filter technology, and then the complex amplitude distribution of the object light field is reconstructed by a computer [19].…”

Section: Introductionmentioning

confidence: 99%

Single-Shot Common-Path Off-Axis Dual-Wavelength Digital Holographic Microscopy Based on Two-Dimensional Grating Diffraction

Wang

Zhao

et al. 2022

Front. Phys.

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We present a single-shot dual-wavelength common-path off-axis digital holographic microscopic (CO-DHM) imaging method based on two-dimensional grating diffraction. This method improves the utilization rate of the interference field under the limited photosensitive size of the camera, and further expands the original camera’s field of view (FOV). In addition, the mode of orthogonal carrier frequencies close to the diagonal direction can optimize the utilization of the camera’s spatial bandwidth. Compared with the traditional dual-wavelength CO-DHM using one-dimensional grating or prism beam splitting, this method effectively avoids the aliasing of high-frequency components of the +1-order spectrum of different wavelengths in the frequency domain. We provide quantitative phase imaging experiments for the full FOV of USAF resolution chart, onion epidermal cells and standard polystyrene beads. The results prove that the system can enlarge the interferometric FOV by nearly 74.0% without changing the imaging parameters, such as magnification and resolution, and can achieve high-precision quantitative phase imaging with only a single hologram.

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“…Thus, a lot of methods have been developed to quantify aberrations numerically, such as these using the 1D standard polynomials fitting, 9 – 12 2D least-squares surface fitting, 13 , 14 Zernike polynomials fitting, 15 , 16 and so on. 17 – 20 However, a lot of numerical methods are only capable of compensating some specific aberrations, 14 , 19 – 22 for example, only the lower order aberrations or non-cross term aberrations.…”

Section: Introductionmentioning

confidence: 99%

Aberration-free digital holographic phase imaging using the derivative-based principal component analysis

Lai

Xiao

et al. 2021

J. Biomed. Opt.

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. Significance: Digital holographic microscopy is widely used to get the quantitative phase information of transparent cells. Aim: However, the sample phase is superimposed with aberrations. To quantify the phase information, aberrations need to be fully compensated. Approach: We propose a technique to obtain aberration-free phase imaging, using the derivative-based principal component analysis (dPCA). Results: With dPCA, almost all aberrations can be extracted and compensated without requirements on background segmentation, making it efficient and convenient. Conclusions: It solves the problem that the conventional principal component analysis (PCA) algorithm cannot compensate the common but intricate higher order cross-term aberrations, such as astigmatism and coma. Moreover, the dPCA strategy proposed here is not only suitable for aberration compensation but also applicable for other cases where there exist cross-terms that cannot be analyzed with the PCA algorithm.

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Phase compensation in digital holographic microscopy using a quantitative evaluation metric

Cited by 19 publications

References 28 publications

Elimination of Quadratic Phase Aberration in Digital Holographic Microscopy by Using Transport of Intensity

Elimination of Quadratic Phase Aberration in Digital Holographic Microscopy by Using Transport of Intensity

Single-Shot Common-Path Off-Axis Dual-Wavelength Digital Holographic Microscopy Based on Two-Dimensional Grating Diffraction

Aberration-free digital holographic phase imaging using the derivative-based principal component analysis

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