Digital holography and its multidimensional imaging applications: a review

Microscopy, Journal Year: 2018, Volume and Issue: 67(2), P. 55 - 67

Published: Feb. 17, 2018

In this review, we introduce digital holographic techniques and recent progress in multidimensional sensing by using holography. Digital holography is an interferometric imaging technique that does not require lens can be used to perform simultaneous of information, such as three-dimensional structure, dynamics, quantitative phase, multiple wavelengths polarization state light. The also obtain a image nonlinear light incoherent with single-shot exposure. recording ability has enabled variety applications.

Language: Английский

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Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments

Nature Communications, Journal Year: 2020, Volume and Issue: 11(1)

Published: Dec. 7, 2020

Due to its specificity, fluorescence microscopy (FM) has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue limit FM's utility. Recently, it been shown that artificial intelligence (AI) can transform one form of contrast into another. We present PICS, combination quantitative phase AI, which provides information about unlabeled live cells with high specificity. Our system allows for automatic training, while inference is built the acquisition software runs real-time. Applying computed maps back QPI data, we measured growth both nuclei cytoplasm independently, over many days, without loss viability. Using method suppresses multiple scattering, dry mass content individual within spheroids. In current implementation, PICS offers versatile technique continuous simultaneous monitoring cellular components biological applications where long-term label-free desirable.

Language: Английский

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Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry

Nature Photonics, Journal Year: 2022, Volume and Issue: 16(12), P. 851 - 859

Published: Nov. 10, 2022

Abstract Quantitative phase imaging has gained popularity in bioimaging because it can avoid the need for cell staining, which, some cases, is difficult or impossible. However, as a result, quantitative does not provide labelling of various specific intracellular structures. Here we show novel computational segmentation method based on statistical inference that makes possible techniques to identify nucleus. We demonstrate approach with refractive index tomograms stain-free cells reconstructed using tomographic microscopy flow cytometry mode. In particular, by means numerical simulations and two cancer lines, nucleus be accurately distinguished within tomograms. our experimental results are consistent confocal fluorescence data microfluidic cyto-fluorimeter outputs. This remarkable step towards directly extracting three-dimensional structures from contrast typical configuration.

Language: Английский

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Roadmap on Label‐Free Super‐Resolution Imaging

Laser & Photonics Review, Journal Year: 2023, Volume and Issue: 17(12)

Published: Oct. 30, 2023

Abstract Label‐free super‐resolution (LFSR) imaging relies on light‐scattering processes in nanoscale objects without a need for fluorescent (FL) staining required super‐resolved FL microscopy. The objectives of this Roadmap are to present comprehensive vision the developments, state‐of‐the‐art field, and discuss resolution boundaries hurdles that be overcome break classical diffraction limit label‐free imaging. scope spans from advanced interference detection techniques, where diffraction‐limited lateral is combined with unsurpassed axial temporal resolution, techniques true capability based understanding as an information science problem, using novel structured illumination, near‐field scanning, nonlinear optics approaches, designing superlenses nanoplasmonics, metamaterials, transformation optics, microsphere‐assisted approaches. To end, brings under same umbrella researchers physics biomedical communities which such studies have often been developing separately. ultimate intent paper create current future developments LFSR its physical mechanisms great opening series articles field.

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-fidelity optical diffraction tomography of multiple scattering samples

Light Science & Applications, Journal Year: 2019, Volume and Issue: 8(1)

Published: Sept. 10, 2019

We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step non-paraxial (SSNP) method as forward model in a learning scheme. Compared with beam propagation (BPM) previously used (LT-BPM), improved accuracy of SSNP maximizes information retrieved from measurements, relying less on prior assumptions about sample. A rigorous evaluation based (LT-SSNP) using both synthetic and experimental measurements confirms its superior performance compared LT-BPM. Benefiting SSNP, LT-SSNP can clearly resolve structures are highly distorted serious limitation quantifying biological samples is ground truth unknown. To overcome this limitation, we describe novel allows us to compare performances different schemes by discrete dipole approximation generate measurements. Finally, explore capacity approaches enable data compression reducing number scanning angles, which particular interest minimizing measurement time.

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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Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips

View, Journal Year: 2020, Volume and Issue: 1(3)

Published: Aug. 27, 2020

Abstract Circulating tumor cells (CTCs) are rare released from primary, metastatic, or recurrent tumors in the peripheral blood of cancer patients. CTCs isolation and their molecular characterization represent a new marker screening, diagnostic tool called “liquid biopsy” (LB). Compared to traditional tissue biopsy that is invasive does not reveal heterogeneity, LB noninvasive reflects “real‐time” dynamism drug sensitivity. In frame LB, paradigm based on single‐cell label‐free analysis morphological emerging. Here, we review latest research developments this emerging vision LB. particular, survey discuss recent improvements microfluidics, imaging diagnosis cell classification by artificial intelligence how combine them realize an intelligent platform lab‐on‐chip technology. This prospect appears open up promising intriguing scenarios for management through will revolutionize future early therapeutic choice with disruptive impact society.

Language: Английский

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Quantitative 3D refractive index tomography of opaque samples in epi-mode

Optica, Journal Year: 2020, Volume and Issue: 8(1), P. 6 - 6

Published: Nov. 19, 2020

Three-dimensional (3D) refractive index (RI) tomography has recently become an exciting new tool for biological studies. However, its limitation to (1) thin samples resulting from a need of transmissive illumination and (2) small fields view (typically ∼ 50 µ m × ) hindered utility in broader biomedical applications. In this work, we demonstrate 3D RI with large field opaque, arbitrarily thick scattering (unsuitable imaging conventional tomographic techniques) penetration depth ca. one mean free path length ( 100 tissue) using simple, low-cost microscope system epi-illumination. This approach leverages solution the inverse problem via general non-paraxial optical transfer function our quantitative oblique back-illumination microscopy (qOBM) system. A theoretical analysis is presented along simulations experimental validations polystyrene beads, rat human brain tissues. work significant implications investigation optically thick, semi-infinite non-invasive label-free manner. unique qOBM can extend translational clinical medicine.

Language: Английский

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Roadmap on Digital Holography-Based Quantitative Phase Imaging

Journal of Imaging, Journal Year: 2021, Volume and Issue: 7(12), P. 252 - 252

Published: Nov. 26, 2021

Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or technical microstructures, merging beneficial features identified with microscopy, interferometry, holography, and numerical computations. This roadmap article reviews several digital holography-based QPI approaches developed by prominent research groups. It also briefly discusses present future perspectives 2D 3D based on holographic tomography, their applications.

Language: Английский

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