scholarly journals Three-dimensional super-resolution and localization of dense clusters of single molecules

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Anthony Barsic ◽  
Ginni Grover ◽  
Rafael Piestun
Keyword(s):  
Single Molecules ◽  
Three Dimensional ◽  
Super Resolution

scholarly journals Single-molecule spectroscopy and imaging over the decades

2015 ◽  
Vol 184 ◽  
pp. 9-36 ◽  
Author(s):  
W. E. Moerner ◽  
Yoav Shechtman ◽  
Quan Wang
Keyword(s):  
Single Molecule ◽  
Optical Switching ◽  
Fluorescent Protein ◽  
Single Molecules ◽  
Three Dimensional ◽  
Super Resolution ◽  
Laser Frequency ◽  
High Resolution Spectroscopy ◽  
Focal Volume ◽  
Ensemble Averaging

As of 2015, it has been 26 years since the first optical detection and spectroscopy of single molecules in condensed matter. This area of science has expanded far beyond the early low temperature studies in crystals to include single molecules in cells, polymers, and in solution. The early steps relied upon high-resolution spectroscopy of inhomogeneously broadened optical absorption profiles of molecular impurities in solids at low temperatures. Spectral fine structure arising directly from the position-dependent fluctuations of the number of molecules in resonance led to the attainment of the single-molecule limit in 1989 using frequency-modulation laser spectroscopy. In the early 1990s, a variety of fascinating physical effects were observed for individual molecules, including imaging of the light from single molecules as well as observations of spectral diffusion, optical switching and the ability to select different single molecules in the same focal volume simply by tuning the pumping laser frequency. In the room temperature regime, researchers showed that bursts of light from single molecules could be detected in solution, leading to imaging and microscopy by a variety of methods. Studies of single copies of the green fluorescent protein also uncovered surprises, especially the blinking and photoinduced recovery of emitters, which stimulated further development of photoswitchable fluorescent protein labels. All of these early steps provided important fundamentals underpinning the development of super-resolution microscopy based on single-molecule localization and active control of emitting concentration. Current thrust areas include extensions to three-dimensional imaging with high precision, orientational analysis of single molecules, and direct measurements of photodynamics and transport properties for single molecules trapped in solution by suppression of Brownian motion. Without question, a huge variety of studies of single molecules performed by many talented scientists all over the world have extended our knowledge of the nanoscale and many microscopic mechanisms previously hidden by ensemble averaging.

scholarly journals Three-dimensional super-resolution imaging for fluorescence emission difference microscopy

AIP Advances ◽  
2015 ◽  
Vol 5 (8) ◽  
pp. 084901 ◽  
Author(s):  
Shangting You ◽  
Cuifang Kuang ◽  
Shuai Li ◽  
Xu Liu ◽  
Zhihua Ding
Keyword(s):  
Three Dimensional ◽  
Fluorescence Emission ◽  
Super Resolution ◽  
Resolution Imaging

Super-resolution imaging using a three-dimensional metamaterials nanolens

2010 ◽  
Vol 96 (2) ◽  
pp. 023114 ◽  
Author(s):  
B. D. F. Casse ◽  
W. T. Lu ◽  
Y. J. Huang ◽  
E. Gultepe ◽  
L. Menon ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Resolution Imaging

A Fast View Synthesis Implementation Method for Light Field Applications

2021 ◽  
Vol 17 (4) ◽  
pp. 1-20
Author(s):  
Wei Gao ◽  
Linjie Zhou ◽  
Lvfang Tao
Keyword(s):  
Neural Networks ◽  
Light Field ◽  
Three Dimensional ◽  
Super Resolution ◽  
View Synthesis ◽  
Compact Representation ◽  
Light Weight ◽  
Computationally Efficient ◽  
Full Resolution ◽  
Time Systems

View synthesis (VS) for light field images is a very time-consuming task due to the great quantity of involved pixels and intensive computations, which may prevent it from the practical three-dimensional real-time systems. In this article, we propose an acceleration approach for deep learning-based light field view synthesis, which can significantly reduce calculations by using compact-resolution (CR) representation and super-resolution (SR) techniques, as well as light-weight neural networks. The proposed architecture has three cascaded neural networks, including a CR network to generate the compact representation for original input views, a VS network to synthesize new views from down-scaled compact views, and a SR network to reconstruct high-quality views with full resolution. All these networks are jointly trained with the integrated losses of CR, VS, and SR networks. Moreover, due to the redundancy of deep neural networks, we use the efficient light-weight strategy to prune filters for simplification and inference acceleration. Experimental results demonstrate that the proposed method can greatly reduce the processing time and become much more computationally efficient with competitive image quality.

Cubic spline-based depth-dependent localization of mitochondria–endoplasmic reticulum contacts by three-dimensional light-sheet super-resolution microscopy

The Analyst ◽  
2021 ◽  
Author(s):  
Yucheng Sun ◽  
Seungah Lee ◽  
Seong Ho Kang
Keyword(s):  
Endoplasmic Reticulum ◽  
Calcium Homeostasis ◽  
Three Dimensional ◽  
Super Resolution ◽  
Light Sheet ◽  
Cubic Spline ◽  
Contact Distance ◽  
Super Resolution Microscopy

The contact distance between mitochondria (Mito) and endoplasmic reticulum (ER) has received considerable attention owing to their crucial function in maintaining lipid and calcium homeostasis. Herein, cubic spline algorithm-based depth-dependent...

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