Spatial- and Fourier-domain ptychography for high-throughput bio-imaging

Jiang, Shaowei; Song, Pengming; Wang, Tianbo; Yang, Liming; Wang, Ruihai; Guo, Chengfei; Feng, Bin; Maiden, Andrew; Zheng, Guoan

doi:10.1038/s41596-023-00829-4

Cited by 31 publications

(7 citation statements)

References 86 publications

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“…A prominent hybrid quantitative phase imaging technique that can surpass the diffraction limit is ptychography . In this method, the sample is sequentially illuminated point-by-point to produce diffraction patterns that are combined in an iterative algorithm, such as the ptychographic iterative engine, to recover the phase image.…”

Section: Conventional Phase Imaging Methodsmentioning

confidence: 99%

“…A prominent hybrid quantitative phase imaging technique that can surpass the diffraction limit is ptychography. 93 In this method, the sample is sequentially illuminated point-by-point to produce diffraction patterns that are combined in an iterative algorithm, such as the ptychographic iterative engine, 94 to recover the phase image. Fourier ptychography is a common variation of this technique, where the sample is illuminated with angled plane waves that select the spatial frequency components of a sample, which can be recombined with the Fourier transform.…”

Section: Quantitative Phase Imagingmentioning

confidence: 99%

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New Avenues for Phase Imaging: Optical Metasurfaces

Priscilla,

Sulejman,

Roberts

et al. 2024

ACS Photonics

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Visualizing the phase of an optical field is fundamental to applications ranging from biological microscopy through to material science. Its importance is evidenced by the award of the 1953 Nobel Prize to Frits Zernike for his invention of the phase contrast microscope. Conventional phase imaging techniques, including Zernike phase contrast, differential interference contrast, and interferometry, often rely on bulky optical components and macroscopic propagation distances. These factors hinder the miniaturization and integration into ultracompact imaging systems. Furthermore, computational methods also present challenges due to computational complexity, potentially compromising speed and energy efficiency. The recent emergence of the use of nano-optics, including thin films and metasurfaces, in image processing has opened up possibilities for a new class of compact methods for phase imaging. These nanostructured devices have been shown to permit phase visualization, and we believe that they hold the potential to enable the next generation of imaging systems and photodetectors in a broad range of applications.

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Section: Conventional Phase Imaging Methodsmentioning

confidence: 99%

Section: Quantitative Phase Imagingmentioning

confidence: 99%

New Avenues for Phase Imaging: Optical Metasurfaces

Priscilla,

Sulejman,

Roberts

et al. 2024

ACS Photonics

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show abstract

“…That is to say, the slow-varying phase gradient cannot induce sufficient intensity contrast to be detected and thus cannot be recovered through subsequent algorithms. Coded ptychography 48 is an effective solution, in which the coded layer (such as disorder-engineered surface 49 or fixed blood-cell layer 50 , 51 ) effectively converts the phase information of different spatial frequencies into detectable distortions in the diffraction patterns. Similarly, the coded layer can also be used in the multi-height algorithm to recover the slow-varying phase profiles 52 .…”

Section: Introductionmentioning

confidence: 99%

On the use of deep learning for phase recovery

Wang,

Song,

Wang

et al. 2024

Light Sci Appl

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Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imaging to adaptive optics, PR is essential for reconstructing the refractive index distribution or topography of an object and correcting the aberration of an imaging system. In recent years, deep learning (DL), often implemented through deep neural networks, has provided unprecedented support for computational imaging, leading to more efficient solutions for various PR problems. In this review, we first briefly introduce conventional methods for PR. Then, we review how DL provides support for PR from the following three stages, namely, pre-processing, in-processing, and post-processing. We also review how DL is used in phase image processing. Finally, we summarize the work in DL for PR and provide an outlook on how to better use DL to improve the reliability and efficiency of PR. Furthermore, we present a live-updating resource (https://github.com/kqwang/phase-recovery) for readers to learn more about PR.

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“…Given that ptychography obviates the need for interferometric measurements and allows for imaging extended objects without compact support constraints, it has rapidly attracted interest from different scientific communities. In the realm of coherent X-ray microscopy, ptychography has become an indispensable imaging tool in most synchrotron and national laboratories worldwide 11 ; in electron microscopy, recent advances have pushed the resolution to record-breaking deep sub-angstrom levels 12 ; and in optical imaging, spatial- and Fourier-domain ptychography has provided turnkey solutions for high-resolution, high-throughput microscopy with minimal hardware modifications 13 , 14 .…”

Section: Introductionmentioning

confidence: 99%

Ptycho-endoscopy on a lensless ultrathin fiber bundle tip

Song,

Wang,

Loetgering

et al. 2024

Light Sci Appl

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Synthetic aperture radar (SAR) utilizes an aircraft-carried antenna to emit electromagnetic pulses and detect the returning echoes. As the aircraft travels across a designated area, it synthesizes a large virtual aperture to improve image resolution. Inspired by SAR, we introduce synthetic aperture ptycho-endoscopy (SAPE) for micro-endoscopic imaging beyond the diffraction limit. SAPE operates by hand-holding a lensless fiber bundle tip to record coherent diffraction patterns from specimens. The fiber cores at the distal tip modulate the diffracted wavefield within a confined area, emulating the role of the ‘airborne antenna’ in SAR. The handheld operation introduces positional shifts to the tip, analogous to the aircraft’s movement. These shifts facilitate the acquisition of a ptychogram and synthesize a large virtual aperture extending beyond the bundle’s physical limit. We mitigate the influences of hand motion and fiber bending through a low-rank spatiotemporal decomposition of the bundle’s modulation profile. Our tests demonstrate the ability to resolve a 548-nm linewidth on a resolution target. The achieved space-bandwidth product is ~1.1 million effective pixels, representing a 36-fold increase compared to that of the original fiber bundle. Furthermore, SAPE’s refocusing capability enables imaging over an extended depth of field exceeding 2 cm. The aperture synthesizing process in SAPE surpasses the diffraction limit set by the probe’s maximum collection angle, opening new opportunities for both fiber-based and distal-chip endoscopy in applications such as medical diagnostics and industrial inspection.

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Spatial- and Fourier-domain ptychography for high-throughput bio-imaging

Cited by 31 publications

References 86 publications

New Avenues for Phase Imaging: Optical Metasurfaces

New Avenues for Phase Imaging: Optical Metasurfaces

On the use of deep learning for phase recovery

Ptycho-endoscopy on a lensless ultrathin fiber bundle tip

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