A vector holographic optical trap

Bhebhe, Nkosiphile; Williams, Peter A. C.; Rosales‐Guzmán, Carmelo; Rodríguez-Fajardo, Valeria; Forbes, Andrew

doi:10.1038/s41598-018-35889-0

Cited by 77 publications

(53 citation statements)

References 69 publications

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“…The demonstrated 3D vectorial holography may open avenues to widespread applications such as holographic trap display (5) and multidimensional data storage (39), machine learning microscopy, and imaging systems (27). In particular, our demonstrated 3D vectorial holography with MANN may provide a useful tool to precisely design and tailor on-demand 3D trapping force inside a single optical trap or among multiple traps (16).…”

Section: Discussionmentioning

confidence: 99%

“…The 3D vectorial nature of light is fundamentally important to the understanding of the light-matter interaction (13)(14)(15). It should also play a substantial role in holographic optical trapping (16), highresolution fabrication (9) and imaging (17)(18)(19), and high-capacity data storage (20). However, the 3D vectorial information of a holographic image has been completely inaccessible, primarily because of the negligence of the vectorial nature of light in conventional digital holography (21).…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional vectorial holography based on machine learning inverse design

et al. 2020

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The three-dimensional (3D) vectorial nature of electromagnetic waves of light has not only played a fundamental role in science but also driven disruptive applications in optical display, microscopy, and manipulation. However, conventional optical holography can address only the amplitude and phase information of an optical beam, leaving the 3D vectorial feature of light completely inaccessible. We demonstrate 3D vectorial holography where an arbitrary 3D vectorial field distribution on a wavefront can be precisely reconstructed using the machine learning inverse design based on multilayer perceptron artificial neural networks. This 3D vectorial holography allows the lensless reconstruction of a 3D vectorial holographic image with an ultrawide viewing angle of 94° and a high diffraction efficiency of 78%, necessary for floating displays. The results provide an artificial intelligence–enabled holographic paradigm for harnessing the vectorial nature of light, enabling new machine learning strategies for holographic 3D vectorial fields multiplexing in display and encryption.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-dimensional vectorial holography based on machine learning inverse design

et al. 2020

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“…Such protocols would create local high energy states, but due to the frustration, there may not be an easy direction in which one of the particles could move away in order to reduce the interaction energy. In particle based systems, dynamic protocols could be introduced readily by using dynamic traps (Bhebhe et al, 2018;Curtis et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

Colloquium : Ice rule and emergent frustration in particle ice and beyond

et al. 2019

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Geometric frustration and the ice rule are two concepts that are intimately connected and widespread across condensed matter. The first refers to the inability of a system to satisfy competing interactions in the presence of spatial constraints. The second, in its more general sense, represents a prescription for the minimization of the topological charges in a constrained system. Both can lead to manifolds of high susceptibility and non-trivial, constrained disorder where exotic behaviors can appear and even be designed deliberately. In this Colloquium, we describe the emergence of geometric frustration and the ice rule in soft condensed matter. This Review excludes the extensive developments of mathematical physics within the field of geometric frustration, but rather focuses on systems of confined micro-or mesoscopic particles that emerge as a novel paradigm exhibiting spin degrees of freedom. In such systems, geometric frustration can be engineered artificially by controlling the spatial topology and geometry of the lattice, the position of the individual particle units, or their relative filling fraction. These capabilities enable the creation of novel and exotic phases of matter, and also potentially lead towards technological applications related to memory and logic devices that are based on the motion of topological defects. We review the rapid progress in theory and experiments and discuss the intimate physical connections with other frustrated systems at different length scales.

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“…The use of spatial light modulator (SLM) further simplifies the generation of the complicated spatial distribution of the trapping light field and enhances the functional capabilities of the OTs systems [61]. Computer-generated HOTs with arbitrarily distributed trapping arrays make it possible for creating well-designed multiple traps and are extraordinarily beneficial to the nanofabrication of three-dimensional complex structures [62][63][64]. Remarkably, conventional far-field OTs can apply sufficient trapping forces upon micron-scale particles within diffraction limit, whereas the advanced near-field OTs can overcome the diffraction limitation and optically confine nanoscale particles in the Rayleigh regime [60].…”

Section: Methodsmentioning

confidence: 99%

Optical Tweezers in Studies of Red Blood Cells

Zhu

Avsievich

Попов

et al. 2020

Cells

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Optical tweezers (OTs) are innovative instruments utilized for the manipulation of microscopic biological objects of interest. Rapid improvements in precision and degree of freedom of multichannel and multifunctional OTs have ushered in a new era of studies in basic physical and chemical properties of living tissues and unknown biomechanics in biological processes. Nowadays, OTs are used extensively for studying living cells and have initiated far-reaching influence in various fundamental studies in life sciences. There is also a high potential for using OTs in haemorheology, investigations of blood microcirculation and the mutual interplay of blood cells. In fact, in spite of their great promise in the application of OTs-based approaches for the study of blood, cell formation and maturation in erythropoiesis have not been fully explored. In this review, the background of OTs, their state-of-the-art applications in exploring single-cell level characteristics and bio-rheological properties of mature red blood cells (RBCs) as well as the OTs-assisted studies on erythropoiesis are summarized and presented. The advance developments and future perspectives of the OTs’ application in haemorheology both for fundamental and practical in-depth studies of RBCs formation, functional diagnostics and therapeutic needs are highlighted.

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A vector holographic optical trap

Cited by 77 publications

References 69 publications

Three-dimensional vectorial holography based on machine learning inverse design

Three-dimensional vectorial holography based on machine learning inverse design

Colloquium : Ice rule and emergent frustration in particle ice and beyond

Optical Tweezers in Studies of Red Blood Cells

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