Magnetic-field-enabled resolution enhancement in super-resolution imaging

2015 ◽  
Vol 17 (10) ◽  
pp. 6722-6727 ◽  
Author(s):  
Min Zhang ◽  
Junling Chen ◽  
Jing Gao ◽  
Zhiyong Wang ◽  
Haijiao Xu ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Fluorescence Intensity ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Resolution Imaging ◽  
Localization Precision

Magnetic field could increase dye's fluorescence intensity and number of photons, thus better localization precision of super-resolution imaging was achieved.

Comment on “Magnetic-field-enabled resolution enhancement in super-resolution imaging” by M. Zhang et al., Phys. Chem. Chem. Phys., 2015, 17, 6722–6727

2017 ◽  
Vol 19 (6) ◽  
pp. 4887-4890 ◽  
Author(s):  
Stephan Bergmann ◽  
Viola Mönkemöller ◽  
Thomas Huser
Keyword(s):  
Magnetic Field ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Chem Phys ◽  
Enhanced Fluorescence ◽  
Organic Fluorophores ◽  
Resolution Imaging ◽  
Phys Chem Chem Phys

Spectral fluorimetry demonstrates that common organic fluorophores such as Alexa 647 exhibit no magnetic field enhanced fluorescence in the absence/presence of a strong magnet.

Reply to the ‘Comment on “Magnetic-field-enabled resolution enhancement in super-resolution imaging”' by Bergmann et al., Physical Chemistry Chemical Physics, 2017, 19, DOI: 10.1039/C6CP05108A

2017 ◽  
Vol 19 (6) ◽  
pp. 4891-4892 ◽  
Author(s):  
Min Zhang ◽  
Junling Chen ◽  
Zhiyuan Tian ◽  
Hongda Wang
Keyword(s):  
Physical Chemistry ◽  
Magnetic Field ◽  
Single Molecule ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Chemical Physics ◽  
Resolution Imaging ◽  
Positive Effect ◽  
The Magnetic Field

By ensemble and single molecule experiments, we confirmed that the magnetic field unequivocally exerted a positive effect on the fluorescence of dyes in dSTORM imaging.

scholarly journals Heavy water: a simple solution to increasing the brightness of fluorescent proteins in super-resolution imaging

2015 ◽  
Vol 51 (70) ◽  
pp. 13451-13453 ◽  
Author(s):  
Wei Qiang Ong ◽  
Y. Rose Citron ◽  
Joerg Schnitzbauer ◽  
Daichi Kamiyama ◽  
Bo Huang
Keyword(s):  
Heavy Water ◽  
Fluorescent Proteins ◽  
Super Resolution ◽  
Simple Solution ◽  
Photon Yield ◽  
Resolution Imaging ◽  
Localization Precision ◽  
Super Resolution Microscopy

D2O improves the photon yield of photoactivatable fluorescent proteins and thus the localization precision for super-resolution microscopy.

scholarly journals Restoring single-molecule localizations with wavefront sensing adaptive optics for deep-tissue super-resolution imaging

2021 ◽  
Author(s):  
Sanghyeon Park ◽  
Yonghyeon Jo ◽  
Minsu Kang ◽  
Jin Hee Hong ◽  
Sangyoon Ko ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Single Molecule ◽  
Fluorescence Emission ◽  
Super Resolution ◽  
Light Modulator ◽  
Application Range ◽  
Wavefront Distortion ◽  
Resolution Imaging ◽  
Localization Precision ◽  
Major Factors

Specimen-induced aberration has been one of the major factors limiting the imaging depth in single-molecule localization microscopy (SMLM). In this study, we measured the wavefront of intrinsic reflectance signal at the fluorescence emission wavelength to construct a time-gated reflection matrix and find complex tissue aberration without resorting to fluorescence detection. Physically correcting the identified aberration via wavefront shaping with a liquid-crystal spatial light modulator (SLM) enables super-resolution imaging even when the aberration is too severe for initiating localization processes. We demonstrate the correction of complex tissue aberration, the root-mean-square (RMS) wavefront distortion of which is more than twice the 1 rad limit presented in previous studies; this leads to the recovery of single molecules by 77 times increased localization number. We visualised dendritic spines in mouse brain tissues and early myelination processes in a whole zebrafish at up to 102 μm depth with 28-39 nm localization precision. The proposed approach can expand the application range of SMLM to thick samples that cause the loss of localization points owing to severe aberration.

scholarly journals Autoencoder based blind source separation for photoacoustic resolution enhancement

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Matan Benyamin ◽  
Hadar Genish ◽  
Ran Califa ◽  
Lauren Wolbromsky ◽  
Michal Ganani ◽  
...  
Keyword(s):  
Photoacoustic Imaging ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Optical Excitation ◽  
Biological Tissues ◽  
General Idea ◽  
Acoustic Response ◽  
Depth Imaging ◽  
Resolution Imaging ◽  
Novel Concept

AbstractPhotoacoustics is a promising technique for in-depth imaging of biological tissues. However, the lateral resolution of photoacoustic imaging is limited by size of the optical excitation spot, and therefore by light diffraction and scattering. Several super-resolution approaches, among which methods based on localization of labels and particles, have been suggested, presenting promising but limited solutions. This work demonstrates a novel concept for extended-resolution imaging based on separation and localization of multiple sub-pixel absorbers, each characterized by a distinct acoustic response. Sparse autoencoder algorithm is used to blindly decompose the acoustic signal into its various sources and resolve sub-pixel features. This method can be used independently or as a combination with other super-resolution techniques to gain further resolution enhancement and may also be extended to other imaging schemes. In this paper, the general idea is presented in details and experimentally demonstrated.

scholarly journals Parameter-free rendering of single-molecule localization microscopy data for parameter-free resolution estimation

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Adrien C. Descloux ◽  
Kristin S. Grußmayer ◽  
Aleksandra Radenovic
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Free Resolution ◽  
Temporal Separation ◽  
Localization Microscopy ◽  
Resolution Imaging ◽  
Localization Precision ◽  
Microscopy Data ◽  
Resolution Estimation ◽  
Single Molecule Localization Microscopy

AbstractLocalization microscopy is a super-resolution imaging technique that relies on the spatial and temporal separation of blinking fluorescent emitters. These blinking events can be individually localized with a precision significantly smaller than the classical diffraction limit. This sub-diffraction localization precision is theoretically bounded by the number of photons emitted per molecule and by the sensor noise. These parameters can be estimated from the raw images. Alternatively, the resolution can be estimated from a rendered image of the localizations. Here, we show how the rendering of localization datasets can influence the resolution estimation based on decorrelation analysis. We demonstrate that a modified histogram rendering, termed bilinear histogram, circumvents the biases introduced by Gaussian or standard histogram rendering. We propose a parameter-free processing pipeline and show that the resolution estimation becomes a function of the localization density and the localization precision, on both simulated and state-of-the-art experimental datasets.

scholarly journals QUANTITATIVE ASSESSMENT OF A NOVEL SUPER-RESOLUTION RESTORATION TECHNIQUE USING HiRISE WITH NAVCAM IMAGES: HOW MUCH RESOLUTION ENHANCEMENT IS POSSIBLE FROM REPEAT-PASS OBSERVATIONS

2016 ◽  
Vol XLI-B4 ◽  
pp. 503-509 ◽  
Author(s):  
Y. Tao ◽  
J.-P. Muller
Keyword(s):  
Quantitative Assessment ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Landing Site ◽  
Imaging Data ◽  
Martian Surface ◽  
Restoration Technique ◽  
Stereo Reconstruction ◽  
Resolution Imaging ◽  
The Eu

Higher spatial resolution imaging data is always desirable to the international community of planetary scientists interested in improving understanding of surface formation processes. We have previously developed a novel Super-resolution restoration (SRR) technique (Tao & Muller, 2016) using Gotcha sub-pixel matching, orthorectification, and segmented 4th order PDE-TV, called GPT SRR, which is able to restore 5 cm-12.5 cm near rover scale images (equivalent to Navcam projected FoV at a range of ≥ 5 m) from multiple 25 cm resolution NASA MRO HiRISE images. The SRR technique has been successfully applied to the rover traverses for the MER and MSL missions within the EU FP-7 PRoViDE project. These SRR results have revealed new surface information including the imaging of individual rocks (diameter ≥ 25 cm) by comparison of the original HiRISE image and rover Navcam orthorectified image mosaics. In this work, we seek evidence from processing a very large number of stereo reconstruction results from all Navcam stereo images within PRoViDE, registration and comparison with the corresponding SRR image, in order to derive a quantitative assessment on key features including rocks (diameter < 150 cm) and rover track wheel spacing. We summarise statistics from SRR-Navcam measurements and demonstrate that our unique SRR datasets will greatly support the geological and morphological analysis and monitoring of Martian surface and can also be applied to landing site selection, in order to avoid unsuitable terrain, for any future lander/rover as well as help to define future rover paths.

scholarly journals QUANTITATIVE ASSESSMENT OF A NOVEL SUPER-RESOLUTION RESTORATION TECHNIQUE USING HiRISE WITH NAVCAM IMAGES: HOW MUCH RESOLUTION ENHANCEMENT IS POSSIBLE FROM REPEAT-PASS OBSERVATIONS

2016 ◽  
Vol XLI-B4 ◽  
pp. 503-509
Author(s):  
Y. Tao ◽  
J.-P. Muller
Keyword(s):  
Quantitative Assessment ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Landing Site ◽  
Imaging Data ◽  
Martian Surface ◽  
Restoration Technique ◽  
Stereo Reconstruction ◽  
Resolution Imaging ◽  
The Eu

Higher spatial resolution imaging data is always desirable to the international community of planetary scientists interested in improving understanding of surface formation processes. We have previously developed a novel Super-resolution restoration (SRR) technique (Tao & Muller, 2016) using Gotcha sub-pixel matching, orthorectification, and segmented 4th order PDE-TV, called GPT SRR, which is able to restore 5&thinsp;cm-12.5&thinsp;cm near rover scale images (equivalent to Navcam projected FoV at a range of ≥&thinsp;5&thinsp;m) from multiple 25&thinsp;cm resolution NASA MRO HiRISE images. The SRR technique has been successfully applied to the rover traverses for the MER and MSL missions within the EU FP-7 PRoViDE project. These SRR results have revealed new surface information including the imaging of individual rocks (diameter&thinsp;≥&thinsp;25&thinsp;cm) by comparison of the original HiRISE image and rover Navcam orthorectified image mosaics. In this work, we seek evidence from processing a very large number of stereo reconstruction results from all Navcam stereo images within PRoViDE, registration and comparison with the corresponding SRR image, in order to derive a quantitative assessment on key features including rocks (diameter&thinsp;<&thinsp;150&thinsp;cm) and rover track wheel spacing. We summarise statistics from SRR-Navcam measurements and demonstrate that our unique SRR datasets will greatly support the geological and morphological analysis and monitoring of Martian surface and can also be applied to landing site selection, in order to avoid unsuitable terrain, for any future lander/rover as well as help to define future rover paths.

Imaging of ferroelectric domain walls by electron holography

1992 ◽  
Vol 50 (1) ◽  
pp. 246-247
Author(s):  
Xiao Zhang
Keyword(s):  
Magnetic Field ◽  
High Resolution ◽  
Domain Walls ◽  
Ferroelectric Domain ◽  
Object Wave ◽  
Electron Holography ◽  
High Resolution Imaging ◽  
Quantitative Measurements ◽  
Resolution Imaging ◽  
Electron Microscopes

Electron holography has recently been available to modern electron microscopy labs with the development of field emission electron microscopes. The unique advantage of recording both amplitude and phase of the object wave makes electron holography a effective tool to study electron optical phase objects. The visibility of the phase shifts of the object wave makes it possible to directly image the distributions of an electric or a magnetic field at high resolution. This work presents preliminary results of first high resolution imaging of ferroelectric domain walls by electron holography in BaTiO3 and quantitative measurements of electrostatic field distribution across domain walls.

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