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...

Three-Dimensional Orientation of Anisotropic Plasmonic Aggregates at Intracellular Nuclear Indentation Sites by Integrated Light Sheet Super-Resolution Microscopy

ACS Nano ◽  
2018 ◽  
Vol 12 (5) ◽  
pp. 4156-4163 ◽  
Author(s):  
Suresh Kumar Chakkarapani ◽  
Yucheng Sun ◽  
Seungah Lee ◽  
Ning Fang ◽  
Seong Ho Kang
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Light Sheet ◽  
Super Resolution Microscopy

A Multi-Functional Microfluidic Device Compatible with Widefield and Light Sheet Imaging

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Regan P Moore ◽  
Ellen C O’Shaughnessy ◽  
Yu Shi ◽  
Ana T Nogueira ◽  
Katelyn M Heath ◽  
...  
Keyword(s):  
High Resolution ◽  
Microfluidic Device ◽  
Super Resolution ◽  
Light Sheet ◽  
Ethylene Propylene ◽  
Super Resolution Microscopy ◽  
Fluorinated Ethylene Propylene

We present a microfluidic device compatible with high resolution light sheet and super-resolution microscopy. Our device is a 150 μm thick chamber with a transparent fluorinated ethylene propylene (FEP) cover...

scholarly journals Super Resolution Microscopy and Deep Learning Identify Zika Virus Reorganization of the Endoplasmic Reticulum

2020 ◽  
Author(s):  
Rory K. M. Long ◽  
Kathleen P. Moriarty ◽  
Ben Cardoen ◽  
Guang Gao ◽  
A. Wayne Vogl ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Deep Learning ◽  
Viral Replication ◽  
Zika Virus ◽  
Deep Neural Networks ◽  
Super Resolution ◽  
Zikv Infection ◽  
Subcellular Organelle ◽  
Infected Cells ◽  
Super Resolution Microscopy

AbstractThe endoplasmic reticulum (ER) is a complex subcellular organelle composed of diverse structures such as tubules, sheets and tubular matrices. Flaviviruses such as Zika virus (ZIKV) induce reorganization of endoplasmic reticulum (ER) membranes to facilitate viral replication. Here, using 3D super resolution microscopy, ZIKV infection is shown to induce the formation of dense tubular matrices associated with viral replication in the central ER. Viral non-structural proteins NS4B and NS2B associate with replication complexes within the ZIKV-induced tubular matrix and exhibit distinct ER distributions outside this central ER region. Deep neural networks trained to identify ZIKV-infected versus mock-infected cells successfully identified ZIKV-induced central ER tubular matrices as a determinant of viral infection. Super resolution microscopy and deep learning are therefore able to identify and localize morphological features of the ER and may be of use to screen for inhibitors of infection by ER-reorganizing viruses.

Combination Light-Sheet Illumination with Super-Resolution Three-Dimensional Fluorescence Microimaging

2018 ◽  
Vol 45 (3) ◽  
pp. 0307006 ◽  
Author(s):  
谢新林 Xie Xinlin ◽  
陈蓉 Chen Rong ◽  
赵宇轩 Zhao Yuxuan ◽  
费鹏 Fei Peng
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Light Sheet

scholarly journals Polysulfide-triggered fluorescent indicator suitable for super-resolution microscopy and application in imaging

2018 ◽  
Vol 54 (30) ◽  
pp. 3735-3738 ◽  
Author(s):  
Anila Hoskere A. ◽  
Sreejesh Sreedharan ◽  
Firoj Ali ◽  
Carl G. Smythe ◽  
Jim A. Thomas ◽  
...  
Keyword(s):  
Endoplasmic Reticulum ◽  
Cell Membrane ◽  
Super Resolution ◽  
Molecular Probe ◽  
Fluorescent Indicator ◽  
Super Resolution Microscopy

A new physiologically benign and cell membrane permeable BODIPY based molecular probe, MB-Sn, specifically senses intracellular hydrogen polysulfides (H2Sn, n > 1) localized in the endoplasmic reticulum.

scholarly journals Small-Molecule Labeling of Live Cell Surfaces for Three-Dimensional Super-Resolution Microscopy

2014 ◽  
Vol 136 (40) ◽  
pp. 14003-14006 ◽  
Author(s):  
Marissa K. Lee ◽  
Prabin Rai ◽  
Jarrod Williams ◽  
Robert J. Twieg ◽  
W. E. Moerner
Keyword(s):  
Small Molecule ◽  
Three Dimensional ◽  
Super Resolution ◽  
Live Cell ◽  
Cell Surfaces ◽  
Super Resolution Microscopy

Fabrication of two-color annular hybrid wave plate for three-dimensional super-resolution microscopy

2016 ◽  
Author(s):  
Hiroshi Kumagai ◽  
Yoshinori Iketaki ◽  
Kornel Jahn ◽  
Nador Bokor
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Hybrid Wave ◽  
Wave Plate ◽  
Super Resolution Microscopy

scholarly journals GPU-accelerated real-time reconstruction in Python of three-dimensional datasets from structured illumination microscopy with hexagonal patterns

2021 ◽  
Vol 379 (2199) ◽  
Author(s):  
Hai Gong ◽  
Wenjun Guo ◽  
Mark A. A. Neil
Keyword(s):  
Moving Objects ◽  
Three Dimensional ◽  
Simulated Data ◽  
Super Resolution ◽  
Light Sheet ◽  
Processing Unit ◽  
Structured Illumination ◽  
Reconstruction Algorithms ◽  
Structured Illumination Microscopy ◽  
Axially Moving

We present a structured illumination microscopy system that projects a hexagonal pattern by the interference among three coherent beams, suitable for implementation in a light-sheet geometry. Seven images acquired as the illumination pattern is shifted laterally can be processed to produce a super-resolved image that surpasses the diffraction-limited resolution by a factor of over 2 in an exemplar light-sheet arrangement. Three methods of processing data are discussed depending on whether the raw images are available in groups of seven, individually in a stream or as a larger batch representing a three-dimensional stack. We show that imaging axially moving samples can introduce artefacts, visible as fine structures in the processed images. However, these artefacts are easily removed by a filtering operation carried out as part of the batch processing algorithm for three-dimensional stacks. The reconstruction algorithms implemented in Python include specific optimizations for calculation on a graphics processing unit and we demonstrate its operation on experimental data of static objects and on simulated data of moving objects. We show that the software can process over 239 input raw frames per second at 512 × 512 pixels, generating over 34 super-resolved frames per second at 1024 × 1024 pixels. This article is part of the Theo Murphy meeting issue ‘Super-resolution structured illumination microscopy (part 1)’.

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