scholarly journals Instant super-resolution imaging in live cells and embryos via analog image processing

2013 ◽  
Vol 10 (11) ◽  
pp. 1122-1126 ◽  
Author(s):  
Andrew G York ◽  
Panagiotis Chandris ◽  
Damian Dalle Nogare ◽  
Jeffrey Head ◽  
Peter Wawrzusin ◽  
...  
Nanophotonics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 2847-2859
Author(s):  
Soojung Kim ◽  
Hyerin Song ◽  
Heesang Ahn ◽  
Seung Won Jun ◽  
Seungchul Kim ◽  
...  

AbstractAnalysing dynamics of a single biomolecule using high-resolution imaging techniques has been had significant attentions to understand complex biological system. Among the many approaches, vertical nanopillar arrays in contact with the inside of cells have been reported as a one of useful imaging applications since an observation volume can be confined down to few-tens nanometre theoretically. However, the nanopillars experimentally are not able to obtain super-resolution imaging because their evanescent waves generate a high optical loss and a low signal-to-noise ratio. Also, conventional nanopillars have a limitation to yield 3D information because they do not concern field localization in z-axis. Here, we developed novel hybrid nanopillar arrays (HNPs) that consist of SiO2 nanopillars terminated with gold nanodisks, allowing extreme light localization. The electromagnetic field profiles of HNPs are obtained through simulations and imaging resolution of cell membrane and biomolecules in living cells are tested using one-photon and 3D multiphoton fluorescence microscopy, respectively. Consequently, HNPs present approximately 25 times enhanced intensity compared to controls and obtained an axial and lateral resolution of 110 and 210 nm of the intensities of fluorophores conjugated with biomolecules transported in living cells. These structures can be a great platform to analyse complex intracellular environment.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Karl Zhanghao ◽  
Wenhui Liu ◽  
Meiqi Li ◽  
Zihan Wu ◽  
Xiao Wang ◽  
...  

AbstractLipid membranes are found in most intracellular organelles, and their heterogeneities play an essential role in regulating the organelles’ biochemical functionalities. Here we report a Spectrum and Polarization Optical Tomography (SPOT) technique to study the subcellular lipidomics in live cells. Simply using one dye that universally stains the lipid membranes, SPOT can simultaneously resolve the membrane morphology, polarity, and phase from the three optical-dimensions of intensity, spectrum, and polarization, respectively. These high-throughput optical properties reveal lipid heterogeneities of ten subcellular compartments, at different developmental stages, and even within the same organelle. Furthermore, we obtain real-time monitoring of the multi-organelle interactive activities of cell division and successfully reveal their sophisticated lipid dynamics during the plasma membrane separation, tunneling nanotubules formation, and mitochondrial cristae dissociation. This work suggests research frontiers in correlating single-cell super-resolution lipidomics with multiplexed imaging of organelle interactome.


2015 ◽  
Vol 2 ◽  
pp. 15047 ◽  
Author(s):  
Joseph M Kelich ◽  
Jiong Ma ◽  
Biao Dong ◽  
Qizhao Wang ◽  
Mario Chin ◽  
...  

2014 ◽  
Vol 53 (38) ◽  
pp. 10242-10246 ◽  
Author(s):  
Roman S. Erdmann ◽  
Hideo Takakura ◽  
Alexander D. Thompson ◽  
Felix Rivera-Molina ◽  
Edward S. Allgeyer ◽  
...  

2018 ◽  
Vol 20 (12) ◽  
pp. 8088-8098 ◽  
Author(s):  
Rajeev Yadav ◽  
H. Peter Lu

Correlating single-molecule fluorescence photo-bleaching step analysis and single-molecule super-resolution imaging, our findings for the clustering effect of the NMDA receptor ion channel on the live cell membranes provide a new and significant understanding of the structure–function relationship of NMDA receptors.


2017 ◽  
Vol 139 (37) ◽  
pp. 13200-13207 ◽  
Author(s):  
Elias A. Halabi ◽  
Zacharias Thiel ◽  
Nils Trapp ◽  
Dorothea Pinotsi ◽  
Pablo Rivera-Fuentes

2011 ◽  
Vol 8 (6) ◽  
pp. 499-505 ◽  
Author(s):  
Sara A Jones ◽  
Sang-Hee Shim ◽  
Jiang He ◽  
Xiaowei Zhuang

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