scholarly journals Large-Scale Fabrication of Photonic Nanojet Array via Template-Assisted Self-Assembly

Micromachines ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 473 ◽  
Author(s):  
Pengcheng Zhang ◽  
Xi Chen ◽  
Hui Yang
Keyword(s):  
Self Assembly ◽  
Large Scale ◽  
Super Resolution ◽  
Light Signal ◽  
Practical Applications ◽  
Photonic Nanojet ◽  
Detection Technology ◽  
Size Uniformity ◽  
Resolution Imaging ◽  
Photonic Nanojets

A large-scale homogenized photonic nanojet array with defined pattern and spacing facilitates practical applications in super-resolution imaging, subwavelength-resolution nanopatterning, nano objects trapping and detection technology. In this paper, we present the fabrication of a large-scale photonic nanojet array via the template-assisted self-assembly (TASA) approach. Templates of two-dimensional (2D) large-scale microwell array with defined pattern and spacing are fabricated. Melamine microspheres with excellent size uniformity are utilized to pattern on the template. It is found that microwells can be filled at a yield up to 95%. These arrayed microspheres on the template serve as microlenses and can be excited to generate large-scale photonic nanojets. The uniformly-sized melamine spheres are beneficial for the generation of a homogenized photonic nanojet array. The intensity of the photonic nanojets in water is as high as ~2 fold the background light signal. Our work shows a simple, robust, and fast means for the fabrication of a large-scale homogenized photonic nanojet array.

scholarly journals Self-Assembly of Ternary Particles for Tough Colloidal Crystals with Vivid Structure Colors

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Binfu Bao ◽  
Duo Liu ◽  
Youyou Yang ◽  
Zhehong Shen ◽  
Bo You
Keyword(s):  
Carbon Black ◽  
Self Assembly ◽  
Large Scale ◽  
Colloidal Crystals ◽  
The Self ◽  
Natural Conditions ◽  
Practical Applications ◽  
Structural Colors ◽  
Crystal Films ◽  
Nanosilica Particles

Self-assembly of colloidal spheres is the most frequently used method for structural colors, but the chroma of the structural colors is usually so low that people cannot observe it under natural conditions. This paper presents a facile method for fabrications of vivid structural colors by doping carbon black into the self-assembly of colloidal polymer spheres and nanosilica particles. This approach can generate very gorgeous structural colors which can be very easily seen under natural conditions. The fabrication conditions for the self-assembly of composite dispersions of polymer/silica/carbon black were optimized to obtain colloidal crystals with vivid colors. Thus, robust mechanical properties, large-scale, and brilliant structural colors can guarantee the obtained crystal films to find practical applications, which are demonstrated by the fact that the successful applications of structural colors beautify the original simple and tedious surface of bamboo strand board (BSB).

Super-resolution imaging of self-assembly of amphiphilic photoswitchable macrocycles

2017 ◽  
Vol 53 (18) ◽  
pp. 2669-2672 ◽  
Author(s):  
Qiong-Xin Hua ◽  
Bo Xin ◽  
Zu-Jing Xiong ◽  
Wen-Liang Gong ◽  
Chong Li ◽  
...  
Keyword(s):  
Self Assembly ◽  
Super Resolution ◽  
Fluorescence Microscope ◽  
Optical Diffraction ◽  
Tetraethylene Glycol ◽  
Resolution Imaging ◽  
Diffraction Limitation

Self-assembly of an amphiphilic photoswitchable fluorescent macrocycle methoxy-tetraethylene glycol-substituted hexaarylbiimidazole-borondipyrromethene can be observed directly under a super-resolution fluorescence microscope, with the nanoscale resolution beyond the optical diffraction limitation.

scholarly journals Demonstration of nanoimprinted hyperlens array for high-throughput sub-diffraction imaging

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Minseop Byun ◽  
Dasol Lee ◽  
Minkyung Kim ◽  
Yangdoo Kim ◽  
Kwan Kim ◽  
...  
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Medical Science ◽  
Super Resolution ◽  
Fabrication Process ◽  
Far Field ◽  
Resolution Limit ◽  
Imaging Science ◽  
Diffraction Imaging ◽  
Resolution Imaging

Abstract Overcoming the resolution limit of conventional optics is regarded as the most important issue in optical imaging science and technology. Although hyperlenses, super-resolution imaging devices based on highly anisotropic dispersion relations that allow the access of high-wavevector components, have recently achieved far-field sub-diffraction imaging in real-time, the previously demonstrated devices have suffered from the extreme difficulties of both the fabrication process and the non-artificial objects placement. This results in restrictions on the practical applications of the hyperlens devices. While implementing large-scale hyperlens arrays in conventional microscopy is desirable to solve such issues, it has not been feasible to fabricate such large-scale hyperlens array with the previously used nanofabrication methods. Here, we suggest a scalable and reliable fabrication process of a large-scale hyperlens device based on direct pattern transfer techniques. We fabricate a 5 cm × 5 cm size hyperlenses array and experimentally demonstrate that it can resolve sub-diffraction features down to 160 nm under 410 nm wavelength visible light. The array-based hyperlens device will provide a simple solution for much more practical far-field and real-time super-resolution imaging which can be widely used in optics, biology, medical science, nanotechnology and other closely related interdisciplinary fields.

scholarly journals Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning

2017 ◽  
Vol 17 (3) ◽  
pp. 145-152
Author(s):  
Jun-Bao Li ◽  
Jing Liu ◽  
Jeng-Shyang Pan ◽  
Hongxun Yao
Keyword(s):  
Magnetic Resonance ◽  
Dictionary Learning ◽  
Radiation Intensity ◽  
Sample Selection ◽  
Super Resolution ◽  
Sparse Learning ◽  
Resolution Method ◽  
Practical Applications ◽  
Resolution Imaging ◽  
Selection For

AbstractMagnetic Resonance Super-resolution Imaging Measurement (MRIM) is an effective way of measuring materials. MRIM has wide applications in physics, chemistry, biology, geology, medical and material science, especially in medical diagnosis. It is feasible to improve the resolution of MR imaging through increasing radiation intensity, but the high radiation intensity and the longtime of magnetic field harm the human body. Thus, in the practical applications the resolution of hardware imaging reaches the limitation of resolution. Software-based super-resolution technology is effective to improve the resolution of image. This work proposes a framework of dictionary-optimized sparse learning based MR super-resolution method. The framework is to solve the problem of sample selection for dictionary learning of sparse reconstruction. The textural complexity-based image quality representation is proposed to choose the optimal samples for dictionary learning. Comprehensive experiments show that the dictionary-optimized sparse learning improves the performance of sparse representation.

Photonic Nanojet Sub-Diffraction Nano-Fabrication With in situ Super-Resolution Imaging

2019 ◽  
Vol 18 ◽  
pp. 226-233 ◽  
Author(s):  
Yangdong Wen ◽  
Haibo Yu ◽  
Wenxiu Zhao ◽  
Feifei Wang ◽  
Xiaoduo Wang ◽  
...  
Keyword(s):  
Super Resolution ◽  
Nano Fabrication ◽  
Photonic Nanojet ◽  
Resolution Imaging

scholarly journals Super-resolution imaging reveals α-synuclein seeded aggregation in SH-SY5Y cells

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Jason C. Sang ◽  
Eric Hidari ◽  
Georg Meisl ◽  
Rohan T. Ranasinghe ◽  
Maria Grazia Spillantini ◽  
...  
Keyword(s):  
Protein Aggregation ◽  
Self Assembly ◽  
Super Resolution ◽  
Quantitative Information ◽  
Protein Homeostasis ◽  
Protective Response ◽  
Resolution Imaging ◽  
Key Steps ◽  
Super Resolution Microscopy ◽  
The Brain

AbstractAggregation of α-synuclein (α-syn) is closely linked to Parkinson’s disease (PD) and the related synucleinopathies. Aggregates spread through the brain during the progression of PD, but the mechanism by which this occurs is still not known. One possibility is a self-propagating, templated-seeding mechanism, but this cannot be established without quantitative information about the efficiencies and rates of the key steps in the cellular process. To address this issue, we imaged the uptake and seeding of unlabeled exogenous α-syn fibrils by SH-SY5Y cells and the resulting secreted aggregates, using super-resolution microscopy. Externally-applied fibrils very inefficiently induced self-assembly of endogenous α-syn in a process accelerated by the proteasome. Seeding resulted in the increased secretion of nanoscopic aggregates (mean 35 nm diameter), of both α-syn and Aβ. Our results suggest that cells respond to seed-induced disruption of protein homeostasis predominantly by secreting nanoscopic aggregates; this mechanism may therefore be an important protective response by cells to protein aggregation.

Optical Trapping, Sensing, and Imaging by Photonic Nanojets

Photonics ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 434
Author(s):  
Heng Li ◽  
Wanying Song ◽  
Yanan Zhao ◽  
Qin Cao ◽  
Ahao Wen
Keyword(s):  
Optical Tweezers ◽  
Optical Trapping ◽  
Near Field ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Research Progress ◽  
Optical Forces ◽  
Resolution Imaging ◽  
Photonic Nanojets ◽  
Near Field Scanning

The optical trapping, sensing, and imaging of nanostructures and biological samples are research hotspots in the fields of biomedicine and nanophotonics. However, because of the diffraction limit of light, traditional optical tweezers and microscopy are difficult to use to trap and observe objects smaller than 200 nm. Near-field scanning probes, metamaterial superlenses, and photonic crystals have been designed to overcome the diffraction limit, and thus are used for nanoscale optical trapping, sensing, and imaging. Additionally, photonic nanojets that are simply generated by dielectric microspheres can break the diffraction limit and enhance optical forces, detection signals, and imaging resolution. In this review, we summarize the current types of microsphere lenses, as well as their principles and applications in nano-optical trapping, signal enhancement, and super-resolution imaging, with particular attention paid to research progress in photonic nanojets for the trapping, sensing, and imaging of biological cells and tissues.

scholarly journals Super-Resolution Imaging and Quantitative Analysis of Membrane Protein/Lipid Raft Clustering Mediated by Cell-Surface Self-Assembly of Hybrid Nanoconjugates

ChemBioChem ◽  
2015 ◽  
Vol 16 (12) ◽  
pp. 1725-1729 ◽  
Author(s):  
Jonathan M. Hartley ◽  
Te-Wei Chu ◽  
Eric M. Peterson ◽  
Rui Zhang ◽  
Jiyuan Yang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Membrane Protein ◽  
Cell Surface ◽  
Lipid Raft ◽  
Self Assembly ◽  
Super Resolution ◽  
Resolution Imaging ◽  
Raft Clustering

A Polymerizable Photoswitchable Fluorophore for Super-Resolution Imaging of Polymer Self-Assembly and Dynamics

2018 ◽  
Vol 7 (12) ◽  
pp. 1432-1437 ◽  
Author(s):  
Zhe Qiang ◽  
Kevin M. Shebek ◽  
Masahiro Irie ◽  
Muzhou Wang
Keyword(s):  
Self Assembly ◽  
Super Resolution ◽  
Resolution Imaging

scholarly journals Multiplexed confocal and super-resolution fluorescence imaging of cytoskeletal and neuronal synapse proteins

2017 ◽  
Author(s):  
Syuan-Ming Guo ◽  
Remi Veneziano ◽  
Simon Gordonov ◽  
Li Li ◽  
Demian Park ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Super Resolution ◽  
Synaptic Proteins ◽  
Locked Nucleic Acid ◽  
Target Number ◽  
Expression Levels ◽  
High Affinity ◽  
Neuronal Synapses ◽  
Resolution Imaging

ABSTRACTNeuronal synapses contain dozens of protein species whose expression levels and localizations are key determinants of synaptic transmission and plasticity. The spectral properties of fluorophores used in conventional microscopy limit the number of measured proteins to four species within a given sample. The ability to perform high-throughput confocal or super-resolution imaging of many proteins simultaneously without limitation in target number imposed by this spectral limit would enable large-scale characterization of synaptic protein networks in situ. Here, we introduce PRISM: Probe-based Imaging for Sequential Multiplexing, a method that sequentially utilizes either high affinity Locked Nucleic Acid (LNA) or low affinity DNA probes to enable diffraction-limited confocal and PAINT-based super-resolution imaging. High-affinity LNA probes offer high-throughput, confocal-based imaging compared with PAINT, which uses low affinity probes to realize localization-based super-resolution imaging. Simultaneous immunostaining of all targets is performed prior to imaging, followed by sequential LNA/DNA probe exchange that requires only minutes under mild wash conditions. We apply PRISM to quantify the co-expression levels and nanometer-scale organization of one dozen cytoskeletal and synaptic proteins within individual neuronal synapses. Our approach is scalable to dozens of target proteins and is compatible with high-content screening platforms commonly used to interrogate phenotypic changes associated with genetic and drug perturbations in a variety of cell types.

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