scholarly journals Camera-based localization microscopy optimized with calibrated structured illumination

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Martin Schmidt ◽  
Adam C. Hundahl ◽  
Henrik Flyvbjerg ◽  
Rodolphe Marie ◽  
Kim I. Mortensen

AbstractUntil very recently, super-resolution localization and tracking of fluorescent particles used camera-based wide-field imaging with uniform illumination. Then it was demonstrated that structured illuminations encode additional localization information in images. The first demonstration of this uses scanning and hence suffers from limited throughput. This limitation was mitigated by fusing camera-based localization with wide-field structured illumination. Current implementations, however, use effectively only half the localization information that they encode in images. Here we demonstrate how all of this information may be exploited by careful calibration of the structured illumination. Our approach achieves maximal resolution for given structured illumination, has a simple data analysis, and applies to any structured illumination in principle. We demonstrate this with an only slightly modified wide-field microscope. Our protocol should boost the emerging field of high-precision localization with structured illumination.

2015 ◽  
Vol 23 (13) ◽  
pp. 16803 ◽  
Author(s):  
Feifei Wang ◽  
Hok Sum Sam Lai ◽  
Lianqing Liu ◽  
Pan Li ◽  
Haibo Yu ◽  
...  

2017 ◽  
Vol 46 (8) ◽  
pp. 824001
Author(s):  
袁 影 Yuan Ying ◽  
王晓蕊 Wang Xiaorui ◽  
吴雄雄 Wu Xiongxiong ◽  
穆江浩 Mu Jianghao ◽  
张 艳 Zhang Yan

2015 ◽  
Author(s):  
Xiaopeng Shao ◽  
Jie Xu ◽  
Jiaoyang Wang ◽  
Xiaodong Chen ◽  
Rui Gong ◽  
...  

2021 ◽  
Vol 22 (4) ◽  
pp. 1903
Author(s):  
Ivona Kubalová ◽  
Alžběta Němečková ◽  
Klaus Weisshart ◽  
Eva Hřibová ◽  
Veit Schubert

The importance of fluorescence light microscopy for understanding cellular and sub-cellular structures and functions is undeniable. However, the resolution is limited by light diffraction (~200–250 nm laterally, ~500–700 nm axially). Meanwhile, super-resolution microscopy, such as structured illumination microscopy (SIM), is being applied more and more to overcome this restriction. Instead, super-resolution by stimulated emission depletion (STED) microscopy achieving a resolution of ~50 nm laterally and ~130 nm axially has not yet frequently been applied in plant cell research due to the required specific sample preparation and stable dye staining. Single-molecule localization microscopy (SMLM) including photoactivated localization microscopy (PALM) has not yet been widely used, although this nanoscopic technique allows even the detection of single molecules. In this study, we compared protein imaging within metaphase chromosomes of barley via conventional wide-field and confocal microscopy, and the sub-diffraction methods SIM, STED, and SMLM. The chromosomes were labeled by DAPI (4′,6-diamidino-2-phenylindol), a DNA-specific dye, and with antibodies against topoisomerase IIα (Topo II), a protein important for correct chromatin condensation. Compared to the diffraction-limited methods, the combination of the three different super-resolution imaging techniques delivered tremendous additional insights into the plant chromosome architecture through the achieved increased resolution.


2021 ◽  
Vol 2 (2) ◽  
pp. 100542
Author(s):  
Taiga Takahashi ◽  
Hong Zhang ◽  
Kohei Otomo ◽  
Yosuke Okamura ◽  
Tomomi Nemoto

1998 ◽  
Vol 11 (1) ◽  
pp. 492-492
Author(s):  
D. MacCagni ◽  
O. Le Fèvre ◽  
G. Vettolani ◽  
D. Mancini ◽  
J.P. Picat ◽  
...  

Large and deep spectroscopic samples of galaxies are essential to study galaxies and large scale structure evolution out to look-back times ~ 10% the current age of the vmiverse. Keeping this scientific and observational goal in mind, we designed and are presently building two wide-field imaging spectrographs to be installed at the Nasmyth foci of the ESO-VLT Unit Telescopes 3 and 4.


2018 ◽  
Vol 114 (3) ◽  
pp. 504a-505a
Author(s):  
Mohammed Mahamdeh ◽  
Steve Simmert ◽  
Anna Łuchniak ◽  
Erik Schäffer ◽  
Jonathon Howard

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