High-quality image reconstruction method for ptychography with partially coherent illumination

Yu, Wei; Wang, Shouyu; Veetil, Suhas P.; Gao, Shumei; Liu, Cheng; Zhu, Jianqiang

doi:10.1103/physrevb.93.241105

Cited by 25 publications

(11 citation statements)

References 26 publications

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“…In this paper we implement ptychography, a quantitative phase-sensitive technique that is able to retrieve the complex wavefront of the light exiting the sample [10][11][12]. Using ptychography both the amplitude and phase of the sample and the probe are obtained as separate images, resulting in high quality quantitative phase information [13][14][15]. Ptychography uses multiple diffraction patterns collected from spatially overlapping regions of the sample to form images using iterative algorithms [16].…”

Section: Introductionmentioning

confidence: 99%

Ptychographic imaging of NaD1 induced yeast cell death

Anthony¹,

Darmanin²,

Bleackley³

et al. 2019

Biomed. Opt. Express

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Characterising and understanding the mechanisms involved in cell death are especially important to combating threats to human health, particularly for the study of antimicrobial peptides and their effectiveness against pathogenic fungi. However, imaging these processes often relies on the use of synthetic molecules which bind to specific cellular targets to produce contrast. Here we study yeast cell death, induced by the anti-fungal peptide, NaD1. By treating yeast as a model organism we aim to understand anti-fungal cell death processes without relying on sample modification. Using a quantitative phase imaging technique, ptychography, we were able to produce label free images of yeast cells during death and use them to investigate the mode of action of NaD1. Using this technique we were able to identify a significant phase shift which provided a clear signature of yeast cell death. Additionally, ptychography identifies cell death much earlier than a comparative fluorescence study, providing new insights into the cellular changes that occur during cell death. The results indicate ptychography has great potential as a means of providing additional information about cellular processes which otherwise may be masked by indirect labelling approaches.

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Section: Introductionmentioning

confidence: 99%

Ptychographic imaging of NaD1 induced yeast cell death

Anthony¹,

Darmanin²,

Bleackley³

et al. 2019

Biomed. Opt. Express

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“…Unfortunately, the performance of traditional CDI algorithms, including the Gerchberg-Saxton algorithm, 16 Fienup's error reduction, hybrid input-output algorithms, 17,18 and axial multi-intensity algorithm, 19 are not ideal in terms of poor reliability, small field of view, and slow convergence speed. Ptychographical iterative engine (PIE), [20][21][22][23][24][25][26] which scans the object through a localized illuminating probe to a raster of positions and records all the diffraction patterns formed in the far field, can reconstruct the transmission function of the sample and the complex amplitude of the illumination accurately and rapidly with two counterpart updating formulas from the recorded diffraction patterns array. Compared to traditional CDI algorithms, PIE has outstanding advantages of fast convergence speed, high reconstruction quality, and theoretically infinite field of view, and accordingly it is regarded as a breakthrough of the CDI technique.…”

Section: Introductionmentioning

confidence: 99%

Variable aperture-based ptychographical iterative engine method

et al. 2018

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A variable aperture-based ptychographical iterative engine (vaPIE) is demonstrated both numerically and experimentally to reconstruct the sample phase and amplitude rapidly. By adjusting the size of a tiny aperture under the illumination of a parallel light beam to change the illumination on the sample step by step and recording the corresponding diffraction patterns sequentially, both the sample phase and amplitude can be faithfully reconstructed with a modified ptychographical iterative engine (PIE) algorithm. Since many fewer diffraction patterns are required than in common PIE and the shape, the size, and the position of the aperture need not to be known exactly, this proposed vaPIE method remarkably reduces the data acquisition time and makes PIE less dependent on the mechanical accuracy of the translation stage; therefore, the proposed technique can be potentially applied for various scientific researches.

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“…In order to realize high‐contrast and quantitative label‐free cellular observation, phase imaging focusing on sample phase retrieval is proposed (Mir et al ., ). Classical approaches as Gerchberg‐Saxton algorithm (Gerchberg & Saxton, ) and Ptychographic methods including ptychographic iterative engine (Rodenburg & Faulkner, ; Rodenburg et al., ; Yu et al ., ,b>) and Fourier ptychographic microscopy (Horstmeyer et al. , ; Horstmeyer & Yang, ; Kuang et al ., ; Tian et al ., ; Yeh et al ., ; Zheng et al ., ; Zhang et al ., ,b) acquire quantitative phase distributions from diffraction via iterative numerical wavefront propagations.…”

Section: Introductionmentioning

confidence: 99%

“…Interference based methods composed of digital holography (Miccio et al ., ; Kim & Park, ; Bianco et al ., ; Memmolo et al ., ; Bianco et al ., ; Kim et al ., ; Merola et al ., ; Zhang et al ., ), interferometric microscopy (Wang et al ., ; Lee & Park, ; Wang et al ., ,b; Wang et al ., ) and spatial light interference microscopy (Babacan et al ., ; Majeed et al ., ) can obtain cellular phase distributions with high speed and accuracy, while the extra reference causes complex optical setup, and it is also difficult to be integrated into commercial microscopes, thus they are not widely adopted in biological and medical fields. Compared to these iterative or interference methods, quantitative phase imaging based on transport of intensity equation (TIE) method shows its potentials on cellular phase observations and measurements (Kou et al ., ; Waller et al ., ; Waller et al ., ; Tian et al ., ; Zhu et al ., ; Tian et al ., ; Yu et al ., ,b; Meng et al ., ). With single in‐focus and another two symmetric defocus images, sample phase distributions can be computed via solving Poisson equation.…”

Section: Introductionmentioning

confidence: 99%

Rapid in‐focus corrections on quantitative amplitude and phase imaging using transport of intensity equation method

Meng

Tian

Kong

et al. 2017

Journal of Microscopy

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Transport of intensity equation (TIE) method can acquire sample phase distributions with high speed and accuracy, offering another perspective for cellular observations and measurements. However, caused by incorrect focal plane determination, blurs and halos are induced, decreasing resolution and accuracy in both retrieved amplitude and phase information. In order to obtain high-accurate sample details, we propose TIE based in-focus correction technique for quantitative amplitude and phase imaging, which can locate focal plane and then retrieve both in-focus intensity and phase distributions combining with numerical wavefront extraction and propagation as well as physical image recorder translation. Certified by both numerical simulations and practical measurements, it is believed the proposed method not only captures high-accurate in-focus sample information, but also provides a potential way for fast autofocusing in microscopic system.

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High-quality image reconstruction method for ptychography with partially coherent illumination

Cited by 25 publications

References 26 publications

Ptychographic imaging of NaD1 induced yeast cell death

Ptychographic imaging of NaD1 induced yeast cell death

Variable aperture-based ptychographical iterative engine method

Rapid in‐focus corrections on quantitative amplitude and phase imaging using transport of intensity equation method

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