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
The Analyst ◽  
2021 ◽  
Author(s):  
Yucheng Sun ◽  
Seungah Lee ◽  
Seong Ho Kang

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...


Lab on a Chip ◽  
2021 ◽  
Author(s):  
Regan P Moore ◽  
Ellen C O’Shaughnessy ◽  
Yu Shi ◽  
Ana T Nogueira ◽  
Katelyn M Heath ◽  
...  

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...


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

2014 ◽  
Vol 136 (40) ◽  
pp. 14003-14006 ◽  
Author(s):  
Marissa K. Lee ◽  
Prabin Rai ◽  
Jarrod Williams ◽  
Robert J. Twieg ◽  
W. E. Moerner

Author(s):  
Hai Gong ◽  
Wenjun Guo ◽  
Mark A. A. Neil

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)’.


2020 ◽  
Vol 8 ◽  
Author(s):  
Xiaoyan Li ◽  
Yubing Han ◽  
Wenjie Liu ◽  
Cuifang Kuang ◽  
Xu Liu ◽  
...  

Three-dimensional (3D) imaging using dual-lens fluorescence microscopies is popular in observing fluorescently labeled biological samples, such as mammalian/model animal cells, tissues, and embryos. Specifically, dual-lens super-resolution fluorescence microscopy methods using two opposing objective lenses allow significantly higher axial resolution and better signal to noise ratio than traditional single-lens counterparts, and thus distinguish more details in 3D images of fine intracellular structures. For 3D imaging of thick tissues and entire embryos, dual-lens light-sheet fluorescence microscopy methods using two objective lenses, either orthogonal or non-orthogonal, to achieve selective plane illumination, can meet the requirements, and thus can be used to observe embryo development and structures of interest in thick tissues. This review summarizes both dual-lens fluorescence microscopy methods, including their principles, configurations, and 3D imaging applications, providing a guideline for biological laboratories with different 3D imaging needs.


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