scholarly journals A correlation analysis framework for localization-based super-resolution microscopy

2017 ◽  
Author(s):  
Joerg Schnitzbauer ◽  
Yina Wang ◽  
Matthew Bakalar ◽  
Baohui Chen ◽  
Tulip Nuwal ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Single Molecule ◽  
Quantitative Description ◽  
Super Resolution ◽  
Analysis Framework ◽  
Biophysical Parameters ◽  
Wide Range ◽  
The Time Domain ◽  
Analysis Platform ◽  
Super Resolution Microscopy

AbstractSuper-resolution images reconstructed from single-molecule localizations can reveal cellular structures close to the macromolecular scale and are now being used routinely in many biomedical research applications. However, because of their coordinate-based representation, a widely applicable and unified analysis platform that can extract a quantitative description and biophysical parameters from these images is yet to be established. Here, we propose a conceptual framework for correlation analysis of coordinate-based super-resolution images using distance histograms. We demonstrate the application of this concept in multiple scenarios including image alignment, tracking of diffusing molecules, as well as for quantification of colocalization.Significance statementCorrelation analysis is one of the most widely used image processing method. In the quantitative analysis of localization-based super-resolution images, there still lacks a generalized coordinate-based correlation analysis framework to take fully advantage of the super-resolution information. We show a coordinate-based correlation analysis framework for localization-based super-resolution microscopy. This framework is highly general and flexible in that it can be easily extended to model the effect of localization uncertainty, to the time domain and other distance definitions, enabling it to be adapted for a wide range of applications. Our work will greatly benefit the quantitative interpretation of super-resolution images and thus the biological application of super-resolution microscopy.

scholarly journals Correlation analysis framework for localization-based superresolution microscopy

2018 ◽  
Vol 115 (13) ◽  
pp. 3219-3224 ◽  
Author(s):  
Joerg Schnitzbauer ◽  
Yina Wang ◽  
Shijie Zhao ◽  
Matthew Bakalar ◽  
Tulip Nuwal ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Single Molecule ◽  
Quantitative Description ◽  
Superior Performance ◽  
Cellular Structures ◽  
Analysis Framework ◽  
Biophysical Parameters ◽  
Superresolution Microscopy ◽  
Analysis Platform ◽  
Multiple Scenarios

Superresolution images reconstructed from single-molecule localizations can reveal cellular structures close to the macromolecular scale and are now being used routinely in many biomedical research applications. However, because of their coordinate-based representation, a widely applicable and unified analysis platform that can extract a quantitative description and biophysical parameters from these images is yet to be established. Here, we propose a conceptual framework for correlation analysis of coordinate-based superresolution images using distance histograms. We demonstrate the application of this concept in multiple scenarios, including image alignment, tracking of diffusing molecules, as well as for quantification of colocalization, showing its superior performance over existing approaches.

scholarly journals A Pairwise Distance Distribution Correction (DDC) algorithm to eliminate blinking-caused artifacts in super-resolution microscopy

2019 ◽  
Author(s):  
Christopher H. Bohrer ◽  
Xinxing Yang ◽  
Xiaoli Weng ◽  
Brian Tenner ◽  
Shreyasi Thakur ◽  
...  
Keyword(s):  
Single Molecule ◽  
Spatial Organization ◽  
Super Resolution ◽  
Distance Distribution ◽  
Pairwise Distance ◽  
Imaging Sequence ◽  
Wide Range ◽  
Quantitative Analyses ◽  
Super Resolution Microscopy ◽  
Accurate Reconstruction

AbstractIn single-molecule localization based super-resolution microscopy (SMLM), a fluorophore stochastically switches between fluorescent- and dark-states, leading to intermittent emission of fluorescence, a phenomenon known as blinking. Intermittent emissions create multiple localizations belonging to the same molecule, resulting in blinking-artifacts within SMLM images. These artifacts are often interpreted as true biological assemblies, confounding quantitative analyses and interpretations. Multiple methods have been developed to eliminate these artifacts, but they either require additional experiments, arbitrary thresholds, or specific photo-kinetic models. Here we present a method, termed Distance Distribution Correction (DDC), to eliminate blinking-caused repeat localizations without any additional calibrations. The approach relies on the finding that the true pairwise distance distribution of different fluorophores in an SMLM image can be naturally obtained from the imaging sequence by using distances between localizations separated by a time much longer than the average fluorescence survival time. We show that using the true pairwise distribution we can define and then maximize the likelihood of obtaining a particular set of localizations void of blinking-artifacts, generating an accurate reconstruction of the underlying cellular structure. Using both simulated and experimental data, we show that DDC surpasses all previous existing blinking-artifact correction methodologies, resulting in drastic improvements in obtaining the closest estimate of the true spatial organization and number of fluorescent emitters in a wide range of applications. The simplicity and robustness of DDC will allow it to become the field standard in SMLM imaging, enabling the most accurate reconstruction and quantification of SMLM images to date.

scholarly journals Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jagadish Sankaran ◽  
Harikrushnan Balasubramanian ◽  
Wai Hoh Tang ◽  
Xue Wen Ng ◽  
Adrian Röllin ◽  
...  
Keyword(s):  
Single Molecule ◽  
Temporal Dynamics ◽  
Growth Factor Receptor ◽  
Super Resolution ◽  
Actin Binding ◽  
Biological Knowledge ◽  
Data Set ◽  
Epidermal Growth ◽  
Molecular Brightness ◽  
Super Resolution Microscopy

AbstractSuper-resolution microscopy and single molecule fluorescence spectroscopy require mutually exclusive experimental strategies optimizing either temporal or spatial resolution. To achieve both, we implement a GPU-supported, camera-based measurement strategy that highly resolves spatial structures (~100 nm), temporal dynamics (~2 ms), and molecular brightness from the exact same data set. Simultaneous super-resolution of spatial and temporal details leads to an improved precision in estimating the diffusion coefficient of the actin binding polypeptide Lifeact and corrects structural artefacts. Multi-parametric analysis of epidermal growth factor receptor (EGFR) and Lifeact suggests that the domain partitioning of EGFR is primarily determined by EGFR-membrane interactions, possibly sub-resolution clustering and inter-EGFR interactions but is largely independent of EGFR-actin interactions. These results demonstrate that pixel-wise cross-correlation of parameters obtained from different techniques on the same data set enables robust physicochemical parameter estimation and provides biological knowledge that cannot be obtained from sequential measurements.

scholarly journals Comparing Super-Resolution Microscopy Techniques to Analyze Chromosomes

2021 ◽  
Vol 22 (4) ◽  
pp. 1903
Author(s):  
Ivona Kubalová ◽  
Alžběta Němečková ◽  
Klaus Weisshart ◽  
Eva Hřibová ◽  
Veit Schubert
Keyword(s):  
Single Molecule ◽  
Imaging Techniques ◽  
Chromatin Condensation ◽  
Super Resolution ◽  
Stimulated Emission ◽  
Wide Field ◽  
Structured Illumination Microscopy ◽  
Metaphase Chromosomes ◽  
Localization Microscopy ◽  
Super Resolution Microscopy

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.

scholarly journals Graphene Energy Transfer for Single‐Molecule Biophysics, Biosensing, and Super‐Resolution Microscopy

2021 ◽  
pp. 2101099
Author(s):  
Izabela Kamińska ◽  
Johann Bohlen ◽  
Renukka Yaadav ◽  
Patrick Schüler ◽  
Mario Raab ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Single Molecule ◽  
Super Resolution ◽  
Single Molecule Biophysics ◽  
Super Resolution Microscopy

Sodium sulfite as a switching agent for single molecule based super-resolution optical microscopy

2021 ◽  
Author(s):  
Anders K Engdahl ◽  
Oleg Grauberger ◽  
Mark Schüttpelz ◽  
Thomas Huser
Keyword(s):  
Single Molecule ◽  
Fluorescent Dyes ◽  
Sodium Sulfite ◽  
Super Resolution ◽  
Oxygen Scavenger ◽  
Dark State ◽  
Alexa Fluor ◽  
High Illumination ◽  
Human Osteosarcoma Cells ◽  
Super Resolution Microscopy

Photoinduced off-switching of organic fluorophores is routinely used in super-resolution microscopy to separate and localize single fluorescent molecules, but the method typically relies on the use of complex imaging buffers. The most common buffers use primary thiols to reversibly reduce excited fluorophores to a non-fluorescent dark state, but these thiols have a limited shelf life and additionally require high illumination intensities in order to efficiently switch the emission of fluorophores. Recently a high-index, thiol-containing imaging buffer emerged which used sodium sulfite as an oxygen scavenger, but the switching properties of sulfite was not reported on. Here, we show that sodium sulfite in common buffer solutions reacts with fluorescent dyes, such as Alexa Fluor 647 and Alexa Fluor 488 under low to medium intensity illumination to form a semi-stable dark state. The duration of this dark state can be tuned by adding glycerol to the buffer. This simplifies the realization of different super-resolution microscopy modalities such as direct Stochastic Reconstruction Microscopy (dSTORM) and Super-resolution Optical Fluctuation Microscopy (SOFI). We characterize sulfite as a switching agent and compare it to the two most common switching agents by imaging cytoskeleton structures such as microtubules and the actin cytoskeleton in human osteosarcoma cells.

scholarly journals Graphene Energy Transfer for Single‐Molecule Biophysics, Biosensing, and Super‐Resolution Microscopy

2021 ◽  
Vol 33 (42) ◽  
pp. 2105719
Author(s):  
Izabela Kamińska ◽  
Johann Bohlen ◽  
Renukka Yaadav ◽  
Patrick Schüler ◽  
Mario Raab ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Single Molecule ◽  
Super Resolution ◽  
Single Molecule Biophysics ◽  
Super Resolution Microscopy
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