scholarly journals Super-Resolution Image Reconstruction Based on Single-Molecule Localization Algorithm

Photonics ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 273
Author(s):  
Lixin Liu ◽  
Meijie Qi ◽  
Yujie Liu ◽  
Xinzhu Xue ◽  
Danni Chen ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Single Molecule ◽  
Cell Biology ◽  
Imaging System ◽  
Particle Density ◽  
Super Resolution ◽  
Live Cells ◽  
Biological Macromolecules ◽  
Localization Algorithm ◽  
Fluorescent Molecules

Fluorescence imaging is an important and efficient tool in cell biology and biomedical research. In order to observe the dynamics of biological macromolecules such as DNA, RNA and proteins in live cells, it is extremely necessary to surpass the Abbe diffraction limit in microscopic imaging. Single-molecule localization microscopy (SMLM) is a sort of super-resolution imaging technique that can obtain a large number of images of sparse fluorescent molecules by the use of photoswitchable fluorescent probes and single-molecule localization technology. The center positions of fluorescent molecules in the images are precisely located, and then the entire sample pattern is reconstructed with super resolution. In this paper, we present a single-molecule localization algorithm (SMLA) that is based on blind deconvolution and centroid localization (BDCL) method. Single-molecule localization and image reconstruction of 15,000/9990 frames of original images of tubulins are accomplished. In addition, this fluorophore localization algorithm is used to localize high particle-density images. The results show that our BDCL-SMLA method is a reasonable attempt and useful method for SMLM imaging when the imaging system is unknown.

scholarly journals Quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy

2019 ◽  
Author(s):  
Hesam Mazidi ◽  
Tianben Ding ◽  
Arye Nehorai ◽  
Matthew D. Lew
Keyword(s):  
Single Molecule ◽  
Computational Models ◽  
Amyloid Fibrils ◽  
Imaging System ◽  
Simulated Data ◽  
Super Resolution ◽  
Ground Truth ◽  
Localization Algorithm ◽  
Reconstruction Algorithms ◽  
Imaging Data

The resolution and accuracy of single-molecule localization micro-scopes (SMLMs) are routinely benchmarked using simulated data, calibration “rulers,” or comparisons to secondary imaging modalities. However, these methods cannot quantify the nanoscale accuracy of an arbitrary SMLM dataset. Here, we show that by computing localization stability under a well-chosen perturbation with accurate knowledge of the imaging system, we can robustly measure the confidence of individual localizations without ground-truth knowledge of the sample. We demonstrate that our method, termed Wasserstein-induced flux (WIF), measures the accuracy of various reconstruction algorithms directly on experimental 2D and 3D data of microtubules and amyloid fibrils. We further show that WIF confidences can be used to evaluate the mismatch between computational models and imaging data, enhance the accuracy and resolution of recon-structed structures, and discover hidden molecular heterogeneities. As a computational methodology, WIF is broadly applicable to any SMLM dataset, imaging system, and localization algorithm.

scholarly journals Quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hesam Mazidi ◽  
Tianben Ding ◽  
Arye Nehorai ◽  
Matthew D. Lew
Keyword(s):  
Single Molecule ◽  
Computational Models ◽  
Amyloid Fibrils ◽  
Imaging System ◽  
Simulated Data ◽  
Super Resolution ◽  
Ground Truth ◽  
Localization Algorithm ◽  
Reconstruction Algorithms ◽  
Imaging Data

AbstractThe resolution and accuracy of single-molecule localization microscopes (SMLMs) are routinely benchmarked using simulated data, calibration rulers, or comparisons to secondary imaging modalities. However, these methods cannot quantify the nanoscale accuracy of an arbitrary SMLM dataset. Here, we show that by computing localization stability under a well-chosen perturbation with accurate knowledge of the imaging system, we can robustly measure the confidence of individual localizations without ground-truth knowledge of the sample. We demonstrate that our method, termed Wasserstein-induced flux (WIF), measures the accuracy of various reconstruction algorithms directly on experimental 2D and 3D data of microtubules and amyloid fibrils. We further show that WIF confidences can be used to evaluate the mismatch between computational models and imaging data, enhance the accuracy and resolution of reconstructed structures, and discover hidden molecular heterogeneities. As a computational methodology, WIF is broadly applicable to any SMLM dataset, imaging system, and localization algorithm.

scholarly journals A method for imaging single molecules at the plasma membrane of live cells within tissue slices

2020 ◽  
Vol 153 (1) ◽  
Author(s):  
Gregory I. Mashanov ◽  
Tatiana A. Nenasheva ◽  
Tatiana Mashanova ◽  
Catherine Maclachlan ◽  
Nigel J.M. Birdsall ◽  
...  
Keyword(s):  
Plasma Membrane ◽  
Cell Lines ◽  
Single Molecule ◽  
Cardiac Tissue ◽  
Single Molecules ◽  
Live Cells ◽  
Biological Macromolecules ◽  
Tissue Slices ◽  
Tissue Samples ◽  
Mammalian Cell Lines

Recent advances in light microscopy allow individual biological macromolecules to be visualized in the plasma membrane and cytosol of live cells with nanometer precision and ∼10-ms time resolution. This allows new discoveries to be made because the location and kinetics of molecular interactions can be directly observed in situ without the inherent averaging of bulk measurements. To date, the majority of single-molecule imaging studies have been performed in either unicellular organisms or cultured, and often chemically fixed, mammalian cell lines. However, primary cell cultures and cell lines derived from multi-cellular organisms might exhibit different properties from cells in their native tissue environment, in particular regarding the structure and organization of the plasma membrane. Here, we describe a simple approach to image, localize, and track single fluorescently tagged membrane proteins in freshly prepared live tissue slices and demonstrate how this method can give information about the movement and localization of a G protein–coupled receptor in cardiac tissue slices. In principle, this experimental approach can be used to image the dynamics of single molecules at the plasma membrane of many different soft tissue samples and may be combined with other experimental techniques.

scholarly journals Comparing lifeact and phalloidin for super-resolution imaging of actin in fixed cells

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0246138
Author(s):  
Hanieh Mazloom-Farsibaf ◽  
Farzin Farzam ◽  
Mohamadreza Fazel ◽  
Michael J. Wester ◽  
Marjolein B. M. Meddens ◽  
...  
Keyword(s):  
Single Molecule ◽  
Cell Biology ◽  
Cell Movement ◽  
Super Resolution ◽  
Actin Binding ◽  
Thin Filaments ◽  
Reversible Binding ◽  
Multiple Regions ◽  
Resolution Imaging ◽  
Division Cell

Visualizing actin filaments in fixed cells is of great interest for a variety of topics in cell biology such as cell division, cell movement, and cell signaling. We investigated the possibility of replacing phalloidin, the standard reagent for super-resolution imaging of F-actin in fixed cells, with the actin binding peptide ‘lifeact’. We compared the labels for use in single molecule based super-resolution microscopy, where AlexaFluor 647 labeled phalloidin was used in a dSTORM modality and Atto 655 labeled lifeact was used in a single molecule imaging, reversible binding modality. We found that imaging with lifeact had a comparable resolution in reconstructed images and provided several advantages over phalloidin including lower costs, the ability to image multiple regions of interest on a coverslip without degradation, simplified sequential super-resolution imaging, and more continuous labeling of thin filaments.

Fast Fourier-Domain Localization Algorithm of Single Molecule with Nanometer Resolution for Super-Resolution Fluorescence Imaging

2012 ◽  
Vol 32 (2) ◽  
pp. 0218001
Author(s):  
于斌 Yu Bin ◽  
陈丹妮 Chen Danni ◽  
刘磊 Liu Lei ◽  
屈军乐 Qu Junle ◽  
牛憨笨 Niu Hanben
Keyword(s):  
Fluorescence Imaging ◽  
Single Molecule ◽  
Super Resolution ◽  
Fourier Domain ◽  
Localization Algorithm ◽  
Nanometer Resolution

scholarly journals 3D tracking of extracellular vesicles by holographic fluorescence imaging

2020 ◽  
Vol 6 (45) ◽  
pp. eabc2508
Author(s):  
Matz Liebel ◽  
Jaime Ortega Arroyo ◽  
Vanesa Sanz Beltrán ◽  
Johann Osmond ◽  
Ala Jo ◽  
...  
Keyword(s):  
Extracellular Vesicles ◽  
Single Molecule ◽  
Three Dimensional ◽  
Super Resolution ◽  
Fluorescent Detection ◽  
Live Cells ◽  
Fluorescent Light ◽  
3D Tracking ◽  
Anisotropic Motion ◽  
Lag Times

Fluorescence microscopy is the method of choice in biology for its molecular specificity and super-resolution capabilities. However, it is limited to a narrow z range around one observation plane. Here, we report an imaging approach that recovers the full electric field of fluorescent light with single-molecule sensitivity. We expand the principle of digital holography to fast fluorescent detection by eliminating the need for phase cycling and enable three-dimensional (3D) tracking of individual nanoparticles with an in-plane resolution of 15 nm and a z-range of 8 mm. As a proof-of-concept biological application, we image the 3D motion of extracellular vesicles (EVs) inside live cells. At short time scales (<4 s), we resolve near-isotropic 3D diffusion and directional transport. For longer lag times, we observe a transition toward anisotropic motion with the EVs being transported over long distances in the axial plane while being confined in the horizontal dimension.

scholarly journals Accuracy and precision in quantitative fluorescence microscopy

2009 ◽  
Vol 185 (7) ◽  
pp. 1135-1148 ◽  
Author(s):  
Jennifer C. Waters
Keyword(s):  
Fluorescence Microscopy ◽  
Cell Biology ◽  
Imaging System ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Digital Cameras ◽  
Accuracy And Precision ◽  
Fluorescent Molecules ◽  
Quantitative Fluorescence ◽  
Biology Research

The light microscope has long been used to document the localization of fluorescent molecules in cell biology research. With advances in digital cameras and the discovery and development of genetically encoded fluorophores, there has been a huge increase in the use of fluorescence microscopy to quantify spatial and temporal measurements of fluorescent molecules in biological specimens. Whether simply comparing the relative intensities of two fluorescent specimens, or using advanced techniques like Förster resonance energy transfer (FRET) or fluorescence recovery after photobleaching (FRAP), quantitation of fluorescence requires a thorough understanding of the limitations of and proper use of the different components of the imaging system. Here, I focus on the parameters of digital image acquisition that affect the accuracy and precision of quantitative fluorescence microscopy measurements.

scholarly journals Obtaining 3D Super-resolution Information from 2D Super-resolution Images through a 2D-to-3D Transformation Algorithm

2017 ◽  
Author(s):  
Andrew Ruba ◽  
Wangxi Luo ◽  
Joseph Kelich ◽  
Weidong Yang
Keyword(s):  
Single Molecule ◽  
Rotational Symmetry ◽  
Three Dimensional ◽  
Super Resolution ◽  
Live Cells ◽  
Limited Information ◽  
Spatiotemporal Resolution ◽  
Superresolution Microscopy ◽  
Localization Analysis ◽  
Probability Information

AbstractCurrently, it is highly desirable but still challenging to obtain three-dimensional (3D) superresolution information of structures in fixed specimens as well as dynamic processes in live cells with a high spatiotemporal resolution. Here we introduce an approach, without using 3D superresolution microscopy or real-time 3D particle tracking, to achieve 3D sub-diffraction-limited information with a spatial resolution of ≤ 1 nm. This is a post-localization analysis that transforms 2D super-resolution images or 2D single-molecule localization distributions into their corresponding 3D spatial probability information. The method has been successfully applied to obtain structural and functional information for 25-300 nm sub-cellular organelles that have rotational symmetry. In this article, we will provide a comprehensive analysis of this method by using experimental data and computational simulations.

scholarly journals 3D Interferometric Lattice Light-Sheet Imaging

2020 ◽  
Author(s):  
Bin Cao ◽  
Guanshi Wang ◽  
Jieru Li ◽  
Alexandros Pertsinidis
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Light Sheet ◽  
Detection Sensitivity ◽  
Live Cells ◽  
Background Suppression ◽  
Axial Resolution ◽  
Volumetric Imaging ◽  
Spatio Temporal ◽  
And Function

Understanding cellular structure and function requires live-cell imaging with high spatio-temporal resolution and high detection sensitivity. Direct visualization of molecular processes using single-molecule/super-resolution techniques has thus been transformative. However, extracting the highest-resolution 4D information possible from weak and dynamic fluorescence signals in live cells remains challenging. For example, some of the highest spatial resolution methods, e.g. interferometric (4Pi) approaches1-6 can be slow, require high peak excitation intensities that accelerate photobleaching or suffer from increased out-of-focus background. Selective-plane illumination (SPIM)7-12 reduces background, but most implementations typically feature modest spatial, especially axial, resolution. Here we develop 3D interferometric lattice light-sheet (3D-iLLS) imaging, a technique that overcomes many of these limitations. 3D-iLLS provides, by virtue of SPIM, low light levels and photobleaching, while providing increased background suppression and significantly improved volumetric imaging/sectioning capabilities through 4Pi interferometry. We demonstrate 3D-iLLS with axial resolution and single-particle localization precision down to <100nm (FWHM) and <10nm (1σ) respectively. 3D-iLLS paves the way for a fuller elucidation of sub-cellular phenomena by enhanced 4D resolution and SNR live imaging.

Revealing dynamically-organized receptor ion channel clusters in live cells by a correlated electric recording and super-resolution single-molecule imaging approach

2018 ◽  
Vol 20 (12) ◽  
pp. 8088-8098 ◽  
Author(s):  
Rajeev Yadav ◽  
H. Peter Lu
Keyword(s):  
Ion Channel ◽  
Single Molecule ◽  
Super Resolution ◽  
Live Cells ◽  
Imaging Approach ◽  
Resolution Imaging ◽  
Function Relationship ◽  
Bleaching Step ◽  
Relationship Of ◽  
Resolution Single

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.

Sign in / Sign up

Export Citation Format

Share Document