Fourier ptychography: current applications and future promises

Optics Express, Journal Year: 2020, Volume and Issue: 28(7), P. 9603 - 9603

Published: Jan. 30, 2020

Traditional imaging systems exhibit a well-known trade-off between the resolution and field of view their captured images. Typical cameras microscopes can either “zoom in” image at high-resolution, or they out” to see larger area lower resolution, but rarely achieve both effects simultaneously. In this review, we present details about relatively new procedure termed Fourier ptychography (FP), which addresses above produce gigapixel-scale images without requiring any moving parts. To accomplish this, FP captures multiple low-resolution, large field-of-view computationally combines them in domain into result. Here, various implementations highlight its demonstrated advantages date, such as aberration recovery, phase imaging, 3D tomographic reconstruction, name few. After providing some basics FP, list important for successful experimental implementation, discuss relationship with other computational techniques, point latest advances while highlighting persisting challenges.

Language: Английский

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Intensity-based holographic imaging via space-domain Kramers–Kronig relations

Nature Photonics, Journal Year: 2021, Volume and Issue: 15(5), P. 354 - 360

Published: Feb. 8, 2021

Language: Английский

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All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging

Advanced Optical Materials, Journal Year: 2022, Volume and Issue: 10(15)

Published: May 20, 2022

Abstract Quantitative phase imaging (QPI) is a label‐free computational technique that provides optical path length information of specimens. In modern implementations, the quantitative image an object reconstructed digitally through numerical methods running in computer, often using iterative algorithms. Here, diffractive QPI network can perform all‐optical recovery demonstrated, and synthesized by converting input scene into intensity variations at output plane. A specialized processor designed to phase‐to‐intensity transformation passive surfaces are spatially engineered deep learning data. Forming compact, axially extends only ≈200–300λ, where λ illumination wavelength, this framework replace traditional systems related digital burden with set transmissive layers. All‐optical networks potentially enable power‐efficient, high frame‐rate, compact might be useful for various applications, including, e.g., microscopy sensing.

Language: Английский

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Artificial intelligence-enabled quantitative phase imaging methods for life sciences

Nature Methods, Journal Year: 2023, Volume and Issue: 20(11), P. 1645 - 1660

Published: Oct. 23, 2023

Language: Английский

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Quantitative phase imaging based on holography: trends and new perspectives

Light Science & Applications, Journal Year: 2024, Volume and Issue: 13(1)

Published: June 27, 2024

Abstract In 1948, Dennis Gabor proposed the concept of holography, providing a pioneering solution to quantitative description optical wavefront. After 75 years development, holographic imaging has become powerful tool for wavefront measurement and phase imaging. The emergence this technology given fresh energy physics, biology, materials science. Digital holography (DH) possesses advantages wide-field, non-contact, precise, dynamic capability complex-waves. DH unique capabilities propagation fields by measuring light scattering with information. It offers visualization refractive index thickness distribution weak absorption samples, which plays vital role in pathophysiology various diseases characterization materials. provides possibility bridge gap between disciplines. is described complex amplitude. complex-value complex-domain reconstructed from intensity-value camera real-domain. Here, we regard process recording reconstruction as transformation real-domain, discuss mathematics physical principles reconstruction. We review underlying principles, technical approaches, breadth applications. conclude emerging challenges opportunities based on combining other methodologies that expand scope utility even further. multidisciplinary nature brings application experts together label-free cell analytical chemistry, clinical sciences, sensing, semiconductor production.

Language: Английский

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AI-driven projection tomography with multicore fibre-optic cell rotation

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Jan. 2, 2024

Optical tomography has emerged as a non-invasive imaging method, providing three-dimensional insights into subcellular structures and thereby enabling deeper understanding of cellular functions, interactions, processes. Conventional optical methods are constrained by limited illumination scanning range, leading to anisotropic resolution incomplete structures. To overcome this problem, we employ compact multi-core fibre-optic cell rotator system that facilitates precise manipulation cells within microfluidic chip, achieving full-angle projection with isotropic resolution. Moreover, demonstrate an AI-driven tomographic reconstruction workflow, which can be paradigm shift from conventional computational methods, often demanding manual processing, fully autonomous process. The performance the proposed rotation approach is validated through phantoms HL60 human cancer cells. versatility learning-based workflow paves way for its broad application across diverse modalities, including but not flow cytometry acoustic tomography. Therefore, propel advancements in biology, aiding inception pioneering therapeutics, augmenting early-stage diagnostics.

Language: Английский

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High-speed in vitro intensity diffraction tomography

Advanced Photonics, Journal Year: 2019, Volume and Issue: 1(06), P. 1 - 1

Published: Dec. 28, 2019

We demonstrate a label-free, scan-free intensity diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume three-dimensional (3-D) refractive index distributions in vitro. By optimally matching the geometry microscope pupil, our reduces data requirement by 60 times achieve high-speed 10-Hz volume rates. Using eight images, we recover volumes of ∼350 μm × 100 20 μm, with near diffraction-limited lateral resolution ∼ 487 nm and axial 3.4 μm. The attained large rate high-resolution enable 3-D quantitative phase imaging complex living biological samples across multiple length scales. aIDT’s capabilities on unicellular diatom microalgae, epithelial buccal cell clusters native bacteria, live Caenorhabditis elegans specimens. Within these samples, macroscale cellular structures, subcellular organelles, dynamic micro-organism tissues minimal motion artifacts. Quantifying such features has significant utility in oncology, immunology, pathophysiology, where morphological are evaluated for changes presence disease, parasites, new drug treatments. Finally, simulate aIDT system highlight accuracy sensitivity proposed technique. shows promise as powerful high-speed, label-free computational microscopy approach applications natural is required evaluate environmental effects sample real time.

Language: Английский

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Diffraction tomography with a deep image prior

Optics Express, Journal Year: 2020, Volume and Issue: 28(9), P. 12872 - 12872

Published: March 25, 2020

We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography (DP-DT), to reconstruct the 3D refractive index (RI) of thick biological samples at high resolution from sequence low-resolution images collected under angularly varying illumination. DP-DT processes multi-angle data using phase retrieval algorithm that is extended by deep image prior (DIP), which reparameterizes sample reconstruction with an untrained, generative convolutional neural network (CNN). show effectively addresses missing cone problem, otherwise degrades and quality standard algorithms. As does not require pre-captured or pre-training, it biased towards any particular dataset. Hence, general technique can be applied wide variety samples, including scenarios in large datasets for supervised training would infeasible expensive. obtain RI maps bead phantoms complex specimens, both simulation experiment, produces higher-quality results than regularization techniques. further demonstrate generality DP-DT, two different scattering models, first Born multi-slice models. Our point potential benefits other modalities, X-ray computed tomography, magnetic resonance imaging, electron microscopy.

Language: Английский

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Review of bio-optical imaging systems with a high space-bandwidth product

Advanced Photonics, Journal Year: 2021, Volume and Issue: 3(04)

Published: June 26, 2021

Optical imaging has served as a primary method to collect information about biosystems across scales-from functionalities of tissues morphological structures cells and even at biomolecular levels. However, adequately characterize complex biosystem, an system with number resolvable points, referred space-bandwidth product (SBP), in excess one billion is typically needed. Since gigapixel-scale far exceeds the capacity current optical imagers, compromises must be made obtain either low spatial resolution or narrow field-of-view (FOV). The problem originates from constituent refractive optics-the larger aperture, more challenging correction lens aberrations. Therefore, it impractical for conventional achieve SBP over hundreds millions. To address this unmet need, variety high-SBP imagers have emerged past decade, enabling unprecedented FOV beyond limit optics. We provide comprehensive survey techniques, exploring their underlying principles applications bioimaging.

Language: Английский

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Quantitative phase imaging trends in biomedical applications

Optics and Lasers in Engineering, Journal Year: 2020, Volume and Issue: 135, P. 106188 - 106188

Published: June 24, 2020

Language: Английский

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