scholarly journals X10 Expansion Microscopy Enables 25 nm Resolution on Conventional Microscopes

2017 ◽  
Author(s):  
Sven Truckenbrodt ◽  
Manuel Maidorn ◽  
Dagmar Crzan ◽  
Hanna Wildhagen ◽  
Selda Kabatas ◽  
...  
Keyword(s):  
Cell Cultures ◽  
Imaging Technique ◽  
Super Resolution ◽  
Sample Volume ◽  
Diffraction Limit ◽  
Color Images ◽  
Expansion Factor ◽  
Major Improvement ◽  
Conventional Microscopy ◽  
Better Than

ABSTRACTExpansion microscopy is a recently introduced imaging technique that achieves super-resolution through physically expanding the specimen by ~4x, after embedding into a swellable gel. The resolution attained is, correspondingly, approximately 4-fold better than the diffraction limit, or ~70 nm. This is a major improvement over conventional microscopy, but still lags behind modern STED or STORM setups, whose resolution can reach 20-30 nm. We addressed this issue here by introducing an improved gel recipe that enables an expansion factor of ~10x in each dimension, which corresponds to an expansion of the sample volume by more than 1000-fold. Our protocol, which we termed X10 microscopy, achieves a resolution of 25-30 nm on conventional epifluorescence microscopes. X10 provides multi-color images similar or even superior to those produced with more challenging methods, such as STED, STORM and iterative expansion microscopy (iExM), in both cell cultures and tissues.

scholarly journals Super-resolution microscopy and its applications in neuroscience

2017 ◽  
Vol 10 (05) ◽  
pp. 1730001 ◽  
Author(s):  
Xuecen Wang ◽  
Jiahao Wang ◽  
Xinpei Zhu ◽  
Yao Zheng ◽  
Ke Si ◽  
...  
Keyword(s):  
Optical Microscopy ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Biological Science ◽  
Basic Principles ◽  
Suitable Tool ◽  
Subcellular Processes ◽  
Conventional Microscopy ◽  
Super Resolution Microscopy

Optical microscopy promises researchers to see most tiny substances directly. However, the resolution of conventional microscopy is restricted by the diffraction limit. This makes it a challenge to observe subcellular processes happened in nanoscale. The development of super-resolution microscopy provides a solution to this challenge. Here, we briefly review several commonly used super-resolution techniques, explicating their basic principles and applications in biological science, especially in neuroscience. In addition, characteristics and limitations of each technique are compared to provide a guidance for biologists to choose the most suitable tool.

scholarly journals From 2D to 3D super-resolution imaging through glass microspheres -INVITED

2020 ◽  
Vol 238 ◽  
pp. 06002
Author(s):  
Stephane Perrin ◽  
Sylvain Lecler ◽  
Paul Montgomery
Keyword(s):  
3D Reconstruction ◽  
Imaging Technique ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Label Free ◽  
Magnification Factor ◽  
Glass Microspheres ◽  
Full Field ◽  
Resolution Imaging ◽  
2D To 3D

Microsphere-assisted microscopy is a new imaging technique which allows the diffraction limit to be overcome using transparent microspheres. It makes it possible to reach a resolution of up to 100 nm in air while being label-free and full-field. An overview of the imaging technique is presented showing the influence of the photonic jet on the image nature and the unconventional behaviour of the magnification factor. Moreover, interferometry through microspheres is demonstrated for the 3D reconstruction of nanoelements.

scholarly journals Recent Progress in the Correlative Structured Illumination Microscopy

Chemosensors ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 364
Author(s):  
Meiting Wang ◽  
Jiajie Chen ◽  
Lei Wang ◽  
Xiaomin Zheng ◽  
Jie Zhou ◽  
...  
Keyword(s):  
High Frequency ◽  
Optical Transmission ◽  
Imaging Technique ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Optical Diffraction ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Recent Developments ◽  
Resolution Imaging

The super-resolution imaging technique of structured illumination microscopy (SIM) enables the mixing of high-frequency information into the optical transmission domain via light-source modulation, thus breaking the optical diffraction limit. Correlative SIM, which combines other techniques with SIM, offers more versatility or higher imaging resolution than traditional SIM. In this review, we first briefly introduce the imaging mechanism and development trends of conventional SIM. Then, the principles and recent developments of correlative SIM techniques are reviewed. Finally, the future development directions of SIM and its correlative microscopies are presented.

scholarly journals Super-Resolution Optical Microscopy for Investigations of Defects in Semiconductor Device

2021 ◽  
Author(s):  
Nagendra Prasad Yadav ◽  
Guozhen Hu ◽  
Zhengpeng Yao
Keyword(s):  
Close Agreement ◽  
Semiconductor Device ◽  
Super Resolution ◽  
Resolving Power ◽  
Microscopic Imaging ◽  
Semiconductor Fabrication ◽  
Conventional Microscopy ◽  
Semiconductor Circuits ◽  
Microscopy Techniques ◽  
Better Than

Abstract Ripples scattering of sidewall in pattern devices is efficient and necessary for monitoring the semiconductor fabrication process. As a step towards improving the imaging quality in terms of scattering, an attempt has been made to use our recently reported method called Parametric Indirect Microscopic Imaging (PIMI) for the thin layer of pattern devices. The present study demonstrates that the resolving power of PIMI imaging for the sidewall of the pattern devices is better than that of the conventional microscopy techniques. The better resolving power of the present PIMI technique for imaging the sidewalls paves the (new) way for its industrial application for the inspection of the integrated semiconductor circuits. For the demonstration, PIMI images have been compared with AFM, which are very close agreement.

scholarly journals STORM Offers Super-Resolution in 3D!

2008 ◽  
Vol 16 (6) ◽  
pp. 3-5
Author(s):  
Stephen W. Carmichael
Keyword(s):  
Spatial Resolution ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Substantial Improvement ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Optical Methods ◽  
Axial Dimension ◽  
Diffraction Barrier ◽  
Better Than

For the first few centuries of microscopy, spatial resolution was limited by the diffraction barrier. Recently, this barrier has been broken using several different methods. Optical methods that provide better resolution than the diffraction barrier are referred to as super-resolution. Although these techniques have significantly improved resolution in two dimensions (x and y) or in the axial dimension (z), it has not been possible to achieve substantial improvement in all three dimensions simultaneously. A study by Bo Huang, Wenqin Wang, Mark Bates, and Xiaowei Zhuang demonstrated a breakthrough by achieving a spatial resolution that is 10 times better than the diffraction limit in all three dimensions without using sample or optical-beam scanning.

scholarly journals Adapting the 3D-printed Openflexure microscope enables computational super-resolution imaging

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 2003
Author(s):  
Stephen D. Grant ◽  
Gemma S. Cairns ◽  
Jordan Wistuba ◽  
Brian R. Patton
Keyword(s):  
Fluorescence Imaging ◽  
Low Cost ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Entire System ◽  
3D Printed ◽  
Resolution Imaging ◽  
Cost Components ◽  
Better Than

We report on a 3D printed microscope, based on a design by the Openflexure project, that uses low cost components to perform fluorescence imaging. The system is sufficiently sensitive and mechanically stable to allow the use of the Super Resolution Radial Fluctuations algorithm to obtain images with resolution better than the diffraction limit. Due to the low-cost components, the entire system can be built for approximately $1200.

scholarly journals Current Development and Applications of Super-Resolution Ultrasound Imaging

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2417
Author(s):  
Qiyang Chen ◽  
Hyeju Song ◽  
Jaesok Yu ◽  
Kang Kim
Keyword(s):  
Kidney Disease ◽  
Ultrasound Imaging ◽  
Atherosclerotic Plaque ◽  
Super Resolution ◽  
Emerging Technology ◽  
Diffraction Limit ◽  
Disease Models ◽  
Current Development ◽  
Future Directions ◽  
Acoustic Diffraction

Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.

scholarly journals MINSTED fluorescence localization and nanoscopy

2021 ◽  
Author(s):  
Michael Weber ◽  
Marcel Leutenegger ◽  
Stefan Stoldt ◽  
Stefan Jakobs ◽  
Tiberiu S. Mihaila ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Super Resolution ◽  
Diffraction Limit ◽  
Stimulated Emission ◽  
Far Field ◽  
Inner Membrane ◽  
Mitochondrial Inner Membrane ◽  
Molecular Scale ◽  
Localization Precision ◽  
Super Resolution Microscopy

AbstractWe introduce MINSTED, a fluorophore localization and super-resolution microscopy concept based on stimulated emission depletion (STED) that provides spatial precision and resolution down to the molecular scale. In MINSTED, the intensity minimum of the STED doughnut, and hence the point of minimal STED, serves as a movable reference coordinate for fluorophore localization. As the STED rate, the background and the required number of fluorescence detections are low compared with most other STED microscopy and localization methods, MINSTED entails substantially less fluorophore bleaching. In our implementation, 200–1,000 detections per fluorophore provide a localization precision of 1–3 nm in standard deviation, which in conjunction with independent single fluorophore switching translates to a ~100-fold improvement in far-field microscopy resolution over the diffraction limit. The performance of MINSTED nanoscopy is demonstrated by imaging the distribution of Mic60 proteins in the mitochondrial inner membrane of human cells.

X-ray imaging with ultra-small-angle X-ray scattering as a contrast mechanism

2004 ◽  
Vol 37 (5) ◽  
pp. 757-765 ◽  
Author(s):  
L. E. Levine ◽  
G. G. Long
Keyword(s):  
Small Angle ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Sample Volume ◽  
Contrast Imaging ◽  
X Ray ◽  
X Ray Scattering ◽  
X Ray Imaging ◽  
Contrast Mechanism ◽  
Ray Scattering

A new transmission X-ray imaging technique using ultra-small-angle X-ray scattering (USAXS) as a contrast mechanism is described. USAXS imaging can sometimes provide contrast in cases where radiography and phase-contrast imaging are unsuccessful. Images produced at different scattering vectors highlight different microstructural features within the same sample volume. When used in conjunction with USAXS scans, USAXS imaging provides substantial quantitative and qualitative three-dimensional information on the sizes, shapes and spatial arrangements of the scattering objects. The imaging technique is demonstrated on metal and biological samples.

A multi-objective opposition-based barnacles mating optimization for image super resolution using hyper-Spectral images

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Valli Bhasha A. ◽  
Venkatramana Reddy B.D.
Keyword(s):  
Neural Network ◽  
Wavelet Transform ◽  
Convolutional Neural Network ◽  
Super Resolution ◽  
Discrete Wavelet ◽  
Content Type ◽  
Resolution Model ◽  
Deep Cnn ◽  
Image Super Resolution ◽  
Better Than

Purpose The problems of Super resolution are broadly discussed in diverse fields. Rather than the progression toward the super resolution models for real-time images, operating hyperspectral images still remains a challenging problem. Design/methodology/approach This paper aims to develop the enhanced image super-resolution model using “optimized Non-negative Structured Sparse Representation (NSSR), Adaptive Discrete Wavelet Transform (ADWT), and Optimized Deep Convolutional Neural Network”. Once after converting the HR images into LR images, the NSSR images are generated by the optimized NSSR. Then the ADWT is used for generating the subbands of both NSSR and HRSB images. The residual image with this information is obtained by the optimized Deep CNN. All the improvements on the algorithms are done by the Opposition-based Barnacles Mating Optimization (O-BMO), with the objective of attaining the multi-objective function concerning the “Peak Signal-to-Noise Ratio (PSNR), and Structural similarity (SSIM) index”. Extensive analysis on benchmark hyperspectral image datasets shows that the proposed model achieves superior performance over typical other existing super-resolution models. Findings From the analysis, the overall analysis of the suggested and the conventional super resolution models relies that the PSNR of the improved O-BMO-(NSSR+DWT+CNN) was 38.8% better than bicubic, 11% better than NSSR, 16.7% better than DWT+CNN, 1.3% better than NSSR+DWT+CNN, and 0.5% better than NSSR+FF-SHO-(DWT+CNN). Hence, it has been confirmed that the developed O-BMO-(NSSR+DWT+CNN) is performing well in converting LR images to HR images. Originality/value This paper adopts a latest optimization algorithm called O-BMO with optimized Non-negative Structured Sparse Representation (NSSR), Adaptive Discrete Wavelet Transform (ADWT) and Optimized Deep Convolutional Neural Network for developing the enhanced image super-resolution model. This is the first work that uses O-BMO-based Deep CNN for image super-resolution model enhancement.

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