Super-resolution Imaging of Cardiac Sarcoplasmic Reticulum ATPase in Relation to Myofibril Distribution in Rat Tissue Sections

2012 ◽  
Vol 21 (12) ◽  
pp. 862
Author(s):  
Y. Hou ◽  
D. Baddelely ◽  
D. Crossman ◽  
I.D. Jayasinghe ◽  
C. Soeller
Keyword(s):  
Sarcoplasmic Reticulum ◽  
Super Resolution ◽  
Cardiac Sarcoplasmic Reticulum ◽  
Tissue Sections ◽  
Resolution Imaging ◽  
Rat Tissue

scholarly journals Ultra-fast super-resolution imaging of biomolecular mobility in tissues

2017 ◽  
Author(s):  
Helen Miller ◽  
Jason Cosgrove ◽  
Adam J. M. Wollman ◽  
Peter O’ J. Toole ◽  
Mark C. Coles ◽  
...  
Keyword(s):  
Lymph Node ◽  
Light Microscopy ◽  
Molecular Diffusion ◽  
Ex Vivo ◽  
Super Resolution ◽  
Collagen Matrix ◽  
Tissue Sections ◽  
Aqueous Environments ◽  
Resolution Imaging

Super-resolution techniques have addressed many biological questions, yet molecular quantification at rapid timescales in live tissues remains challenging. We developed a light microscopy system capable of sub-millisecond sampling to characterize molecular diffusion in heterogeneous aqueous environments comparable to interstitial regions between cells in tissues. We demonstrate our technique with super-resolution tracking of fluorescently labelled chemokine molecules in a collagen matrix andex vivolymph node tissue sections, outperforming competing methods.

A Reproducible Selective Stain for Cardiac Sarcoplasmic Reticulum

1974 ◽  
Vol 32 ◽  
pp. 214-215
Author(s):  
R. A. Waugh ◽  
J. R. Sommer
Keyword(s):  
Complex System ◽  
Electron Microscope ◽  
Sarcoplasmic Reticulum ◽  
Transmission Electron Microscope ◽  
Electron Microscopic ◽  
Cardiac Sarcoplasmic Reticulum ◽  
Transmission Electron

Cardiac sarcoplasmic reticulum (SR) is a complex system of intracellular tubules that, due to their small size and juxtaposition to such electron-dense structures as mitochondria and myofibrils, are often inconspicuous in conventionally prepared electron microscopic material. This study reports a method with which the SR is selectively “stained” which facilitates visualizationwith the transmission electron microscope.

scholarly journals Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network

2021 ◽  
Vol 13 (10) ◽  
pp. 1956
Author(s):  
Jingyu Cong ◽  
Xianpeng Wang ◽  
Xiang Lan ◽  
Mengxing Huang ◽  
Liangtian Wan
Keyword(s):  
Neural Network ◽  
Continuous Wave ◽  
Super Resolution ◽  
Mimo Radar ◽  
Target Localization ◽  
Estimation Accuracy ◽  
Low Resolution ◽  
Range Estimation ◽  
Resolution Image ◽  
Resolution Imaging

The traditional frequency-modulated continuous wave (FMCW) multiple-input multiple-output (MIMO) radar two-dimensional (2D) super-resolution (SR) estimation algorithm for target localization has high computational complexity, which runs counter to the increasing demand for real-time radar imaging. In this paper, a fast joint direction-of-arrival (DOA) and range estimation framework for target localization is proposed; it utilizes a very deep super-resolution (VDSR) neural network (NN) framework to accelerate the imaging process while ensuring estimation accuracy. Firstly, we propose a fast low-resolution imaging algorithm based on the Nystrom method. The approximate signal subspace matrix is obtained from partial data, and low-resolution imaging is performed on a low-density grid. Then, the bicubic interpolation algorithm is used to expand the low-resolution image to the desired dimensions. Next, the deep SR network is used to obtain the high-resolution image, and the final joint DOA and range estimation is achieved based on the reconstructed image. Simulations and experiments were carried out to validate the computational efficiency and effectiveness of the proposed framework.

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