White-light diffraction phase microscopy at doubled space-bandwidth product

Shan, Mingguang; Kandel, Mikhail E.; Majeed, Hassaan; Nastasa, Viorel; Popescu, Gabriel

doi:10.1364/oe.24.029033

Cited by 39 publications

(26 citation statements)

References 29 publications

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“…It attempts the space-bandwidth product optimization by means of full spectral separation of conjugated object lobes, while leaving the autocorrelation term partially overlapped with information carrying cross-correlation terms [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52] . Slightly off-axis phase demodulation is presently facilitated mainly by imposing restrictions on object and reference beams [38][39][40] , utilizing subtraction of two images [41][42][43][44][45][46][47] , employing two wavelengths 48 , or basing on the 1D limited processing [49][50][51][52] , however. In this contribution we are focusing on accurate bi-dimensional single-shot approaches as ability to study full-field dynamic events is fundamental in biomedicine.…”

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confidence: 99%

Variational Hilbert Quantitative Phase Imaging

Trusiak

Cywińska

Micó

et al. 2020

Sci Rep

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Utilizing the refractive index as the endogenous contrast agent to noninvasively study transparent cells is a working principle of emerging quantitative phase imaging (QPI). In this contribution, we propose the Variational Hilbert Quantitative Phase Imaging (VHQPI)-end-to-end purely computational add-on module able to improve performance of a QPI-unit without hardware modifications. The VHQPI, deploying unique merger of tailored variational image decomposition and enhanced Hilbert spiral transform, adaptively provides high quality map of sample-induced phase delay, accepting particularly wide range of input single-shot interferograms (from off-axis to quasi on-axis configurations). It especially promotes high space-bandwidth-product QPI configurations alleviating the spectral overlapping problem. The VHQPI is tailored to deal with cumbersome interference patterns related to detailed locally varying biological objects with possibly high dynamic range of phase and relatively low carrier. In post-processing, the slowly varying phase-term associated with the instrumental optical aberrations is eliminated upon variational analysis to further boost the phase-imaging capabilities. The VHQPI is thoroughly studied employing numerical simulations and successfully validated using static and dynamic cells phase-analysis. It compares favorably with other single-shot phase reconstruction techniques based on the Fourier and Hilbert-Huang transforms, both in terms of visual inspection and quantitative evaluation, potentially opening up new possibilities in QPI. Optical imaging is a central aspect of biological research, biomedical examination, and medical diagnosis. Optical microscope is indispensable in biological and medical research facilitating a "seeing is believing" paradigm 1. Despite its rich history and well-established position, significant efforts are contemporarily put on developing new imaging modalities enabling enhanced resolution, contrast, depth, speed and information content. Among a suite of modern microscopy techniques, quantitative phase imaging (QPI) 2-4 stands out as a vividly blossoming label-free approach. It provides unique means for imaging cells and tissues merging beneficial features identified with microscopy 1 , interferometry and holography 5 , and numerical computations. Using refractive index as the endogenous contrast agent 6,7 QPI numerically converts recorded interference pattern into a nanoscale-precise subcellular-specific map of optical delay introduced by examined transparent specimen 7-9. This non-phototoxic non-destructive imaging technique brings biology and metrology closer as it generates quantitative maps of analyzed live bio-structure (related to cell mass, volume, surface area, and their evolutions in time). Therefore, QPI enables upgrading phase-contrast based 6 visualization of the sample to stain-free non-invasive measurement of sample-induced optical phase delay (related to refractive index and/or thickness variations). Impressive details can be imaged, e.g., via super-resolut...

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mentioning

confidence: 99%

Variational Hilbert Quantitative Phase Imaging

Trusiak

Cywińska

Micó

et al. 2020

Sci Rep

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“…Crosstalk in the frequency domain is avoided because non-occupied frequencies are employed. The experimental results demonstrate at least eight times improvement in the available bandwidth compared to that of previous works with the same number of the images and interferograms [16]- [18].…”

Section: Introductionmentioning

confidence: 74%

“…Off-axis phase-shifting digital holography in Fig. 2(b) provides the improved bandwidth of the previous two-step phase-shifting off-axis interferometric techniques [16]- [18] compared to conventional off-axis digital holography with square sampling scheme [3]. Since the AC term is removed through subtraction between I 0 and I π , the only restriction on the modulation frequency is the signal aliasing between CC and the twin CC terms.…”

Section: Methods and Experimentsmentioning

confidence: 99%

“…Although the available bandwidth of the object phase information is significantly increased and only limited by the twin CC term, the experimental interferogram demonstrated a very low spatial modulation frequency that limited the available to the square sampling scheme bandwidth [17]. Shan et al [18] demonstrated that bandwidth improvement obtained through common-path whitelight diffraction-phase interferometry provides better system temporal stability due to the common-path optical configuration. Several other two-step phase-shifting techniques have been presented [19]- [26]; however, these methods have typically focused on system feasibility rather than spatial bandwidth performance.…”

Section: Introductionmentioning

confidence: 99%

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Super-Bandwidth Two-Step Phase-Shifting Off-Axis Digital Holography by Optimizing Two-Dimensional Spatial Frequency Sampling Scheme

2019

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The presence of the auto correlation and twin cross correlation noises restrict the available spatial bandwidth of the holographic microscopy to much less than the available bandwidth of the digital sensor. Therefore, in order to record the same image area as conventional 2D intensity imaging techniques, several images should be taken. We present two-step phase-shifting off-axis digital holography with maximum space-bandwidth product for three-dimensional (3D) digital holography. Removing the autocorrelation term using a two-step phase-shifting technique significantly increases the available bandwidth for off-axis interferometry. An optimizing super-diagonal two-dimensional (2D) spatial frequency sampling scheme at the sub-Nyquist frequency is employed for performing off-axis interferometry in the absence of the autocorrelation term. The spatial bandwidth of the proposed two-step phase-shifting technique is 400% of that in square scheme off-axis digital holography. Experimental results demonstrate the feasibility of this technique in extracting the 3D morphology of transparent microscopic objects with a larger bandwidth.

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“…Its common-path [15], off-axis [16] approach takes advantage of both the low spatiotemporal noise and fast acquisition rates of previous QPI techniques. Diffraction phase microscopy using white-light illumination (wDPM) [17,18], exhibits lower noise levels than its laser counterparts, although requires more precise alignment. This is a result of the lower coherence, both temporally and spatially, which reduces speckle [19,20].…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Halo-Free White-Light Diffraction Phase Imaging

Zhang

Zhu

et al. 2021

Front. Phys.

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In white-light diffraction phase imaging, when used with insufficient spatial filtering, phase image exhibits object-dependent artifacts, especially around the edges of the object, referred to the well-known halo effect. Here we present a new deep-learning-based approach for recovering halo-free white-light diffraction phase images. The neural network-based method can accurately and rapidly remove the halo artifacts not relying on any priori knowledge. First, the neural network, namely HFDNN (deep neural network for halo free), is designed. Then, the HFDNN is trained by using pairs of the measured phase images, acquired by white-light diffraction phase imaging system, and the true phase images. After the training, the HFDNN takes a measured phase image as input to rapidly correct the halo artifacts and reconstruct an accurate halo-free phase image. We validate the effectiveness and the robustness of the method by correcting the phase images on various samples, including standard polystyrene beads, living red blood cells and monascus spores and hyphaes. In contrast to the existing halo-free methods, the proposed HFDNN method does not rely on the hardware design or does not need iterative computations, providing a new avenue to all halo-free white-light phase imaging techniques.

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White-light diffraction phase microscopy at doubled space-bandwidth product

Cited by 39 publications

References 29 publications

Variational Hilbert Quantitative Phase Imaging

Variational Hilbert Quantitative Phase Imaging

Super-Bandwidth Two-Step Phase-Shifting Off-Axis Digital Holography by Optimizing Two-Dimensional Spatial Frequency Sampling Scheme

Deep-Learning-Based Halo-Free White-Light Diffraction Phase Imaging

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