scholarly journals 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations

2017 ◽  
Author(s):  
Leonid Andronov ◽  
Jonathan Michalon ◽  
Khalid Ouararhni ◽  
Igor Orlov ◽  
Ali Hamiche ◽  
...  
Keyword(s):  
Single Molecule ◽  
Local Density ◽  
3D Structure ◽  
Super Resolution ◽  
Three Dimensions ◽  
3D Analysis ◽  
Voronoi Tessellations ◽  
X Ray Crystallography ◽  
Cellular Context ◽  
Microscopy Data

AbstractSingle-molecule localization microscopy (SMLM) can play an important role in integrated structural biology approaches for example at the interface of cryo electron microscopy (cryo-EM), X-ray crystallography, NMR and fluorescence imaging to identify, localize and determine the 3D structure of cellular structures. While many tools exist for the 3D analysis and visualisation of crystal or cryo-EM structures little exists for 3D SMLM data which can provide fascinating insights but are particularly challenging to analyze in three dimensions especially in a dense cellular context. We developed 3DClusterViSu, a method based on 3D Voronoi tessellations that allows local density estimation, segmentation & quantification of 3D SMLM data and visualization of protein clusters within a 3D tool. We show its robust performance on microtubules and histone proteins H2B and CENP-A with distinct spatial distributions. 3DClusterViSu will favor multi-scale and multi-resolution synergies to allow integrating molecular and cellular levels in the analysis of macromolecular complexes.

scholarly journals 3DClusterViSu: 3D clustering analysis of super-resolution microscopy data by 3D Voronoi tessellations

2018 ◽  
Vol 34 (17) ◽  
pp. 3004-3012 ◽  
Author(s):  
Leonid Andronov ◽  
Jonathan Michalon ◽  
Khalid Ouararhni ◽  
Igor Orlov ◽  
Ali Hamiche ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Super Resolution ◽  
Voronoi Tessellations ◽  
Microscopy Data ◽  
Super Resolution Microscopy

scholarly journals 4polar-STORM polarized super-resolution imaging of actin filament organization in cells

2021 ◽  
Author(s):  
Caio Vaz Rimoli ◽  
Cesar Augusto Valades Cruz ◽  
Valentina Curcio ◽  
Manos Mavrakis ◽  
Sophie Brasselet
Keyword(s):  
Actin Filament ◽  
Single Molecule ◽  
Protein Function ◽  
Super Resolution ◽  
New Method ◽  
Nanometer Scale ◽  
Protein Assemblies ◽  
Cellular Context ◽  
Resolution Imaging ◽  
In Cells

Advances in single-molecule localization microscopy are providing unprecedented insights into the nanometer-scale organization of protein assemblies in cells and thus a powerful means for interrogating biological function. However, localization imaging alone does not contain information on protein conformation and orientation, which constitute additional key signatures of protein function. Here, we present a new microscopy method which combines for the first time Stochastic Optical Reconstruction Microscopy (STORM) super-resolution imaging with single molecule orientation and wobbling measurements using a four polarization-resolved image splitting scheme. This new method, called 4polar-STORM, allows us to determine both single molecule localization and orientation in 2D and to infer their 3D orientation, and is compatible with high labelling densities and thus ideally placed for the determination of the organization of dense protein assemblies in cells. We demonstrate the potential of this new method by studying the nanometer-scale organization of dense actin filament assemblies driving cell adhesion and motility, and reveal bimodal distributions of actin filament orientations in the lamellipodium, which were previously only observed in electron microscopy studies. 4polar-STORM is fully compatible with 3D localization schemes and amenable to live-cell observations, and thus promises to provide new functional readouts by enabling nanometer-scale studies of orientational dynamics in a cellular context.

scholarly journals ShareLoc – an open platform for sharing localization microscopy data

2021 ◽  
Author(s):  
Jiachuan Bai ◽  
Wei Ouyang ◽  
Manish Kumar Singh ◽  
Christophe Leterrier ◽  
Paul Barthelemy ◽  
...  
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Data Sets ◽  
Localization Microscopy ◽  
Open Platform ◽  
Machine Learning Methods ◽  
Microscopy Data ◽  
Analytical Tools ◽  
Existing Data ◽  
Single Molecule Localization Microscopy

Novel insights and more powerful analytical tools can emerge from the reanalysis of existing data sets, especially via machine learning methods. Despite the widespread use of single molecule localization microscopy (SMLM) for super-resolution bioimaging, the underlying data are often not publicly accessible. We developed ShareLoc (https://shareloc.xyz), an open platform designed to enable sharing, easy visualization and reanalysis of SMLM data. We discuss its features and show how data sharing can improve the performance and robustness of SMLM image reconstruction by deep learning.

scholarly journals Analyzing Single Molecule Localization Microscopy Data Using Cubic Splines

2016 ◽  
Author(s):  
Hazen P. Babcock ◽  
Xiaowei Zhuang
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Computation Time ◽  
Cubic Splines ◽  
Localization Algorithm ◽  
Localization Microscopy ◽  
Analytical Functions ◽  
Open Source Software Package ◽  
Microscopy Data ◽  
Single Molecule Localization Microscopy

AbstractThe resolution of super-resolution microscopy based on single molecule localization is in part determined by the accuracy of the localization algorithm. In most published approaches to date this localization is done by fitting an analytical function that approximates the point spread function (PSF) of the microscope. However, particularly for localization in 3D, analytical functions such as a Gaussian, which are computationally inexpensive, may not accurately capture the PSF shape leading to reduced fitting accuracy. On the other hand, analytical functions that can accurately capture the PSF shape, such as those based on pupil functions, can be computationally expensive. Here we investigate the use of cubic splines as an alternative fitting approach. We demonstrate that cubic splines can capture the shape of any PSF with high accuracy and that they can be used for fitting the PSF with only a 2-3x increase in computation time as compared to Gaussian fitting. We provide an open-source software package that measures the PSF of any microscope and uses the measured PSF to perform 3D single molecule localization microscopy analysis with reasonable accuracy and speed.

scholarly journals Gradients of Rac1 nanoclusters support spatial patterns of Rac1 signaling

2017 ◽  
Author(s):  
Amanda Remorino ◽  
Simon De Beco ◽  
Fanny Cayrac ◽  
Fahima Di Federico ◽  
Gaetan Cornilleau ◽  
...  
Keyword(s):  
Single Molecule ◽  
Spatial Information ◽  
Local Density ◽  
Local Level ◽  
Super Resolution ◽  
Positional Information ◽  
Supramolecular Organization ◽  
Local Concentration ◽  
Intracellular Space ◽  
Rac1 Activity

AbstractThe dynamics of the cytoskeleton and cell shape relies on the coordinated activation of RhoGTPase molecular switches. Among them, Rac1 participates to the orchestration in space and time of actin branching and protrusion/retraction cycles of the lamellipodia at the cell front during mesenchymal migration. Biosensor imaging has revealed a graded concentration of active GTP-loaded Rac1 in protruding regions of the cell. Here, using single molecule imaging and super-resolution microscopy, we reveal an additional supramolecular organization of Rac1. We find that, similarly to H-Ras, Rac1 partitions and is immobilized into nanoclusters of 50-100 molecules each. These nanoclusters assemble due to the interaction of the polybasic tail of Rac1 with the phosphoinositide lipids PIP2 and PIP3. The additional interactions with GEFs, GAPs, downstream effectors, and possibly other partners are responsible for an enrichment of Rac1 nanoclusters in protruding regions of the cell. Using optogenetics and micropatterning tools, we find that activation of Rac1 leads to its immobilization in nanoclusters and that the local level of Rac1 activity matches the local density of nanoclusters. Altogether, our results show that subcellular patterns of Rac1 activity are supported by gradients of signaling nanodomains of heterogeneous molecular composition, which presumably act as discrete signaling platforms. This finding implies that graded distributions of nanoclusters might encode spatial information.Significance statementThe plasma membrane of eukaryotic cells is a highly organized surface where hundreds of incoming signals are transduced to the intracellular space. How cells encode faithfully this myriad of signals is a fundamental question. Here we show that Rac1, a critical membrane-bound protein involved in the regulation of cytoskeletal dynamics, forms small aggregates together with other regulating proteins. These supramolecular assemblies, called nanoclusters, are the “quantal” units of signaling. By increasing the local concentration, nanoclusters set thresholds for downstream signaling and ensure the fidelity of information transduction. We found that Rac1 nanoclusters are distributed as spatial gradients matching the patterns of Rac1 activity. We propose that cells can encode positional information through distributed signaling quanta, hereby ensuring spatial fidelity.

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 Light Sheet Illumination for 3D Single-Molecule Super-Resolution Imaging of Neuronal Synapses

2021 ◽  
Vol 13 ◽  
Author(s):  
Gabriella Gagliano ◽  
Tyler Nelson ◽  
Nahima Saliba ◽  
Sofía Vargas-Hernández ◽  
Anna-Karin Gustavsson
Keyword(s):  
Single Molecule ◽  
Mammalian Cells ◽  
Molecular Mechanisms ◽  
Three Dimensional ◽  
Super Resolution ◽  
Light Sheet ◽  
Three Dimensions ◽  
Single Molecule Imaging ◽  
Single Molecule Tracking ◽  
Resolution Imaging

The function of the neuronal synapse depends on the dynamics and interactions of individual molecules at the nanoscale. With the development of single-molecule super-resolution microscopy over the last decades, researchers now have a powerful and versatile imaging tool for mapping the molecular mechanisms behind the biological function. However, imaging of thicker samples, such as mammalian cells and tissue, in all three dimensions is still challenging due to increased fluorescence background and imaging volumes. The combination of single-molecule imaging with light sheet illumination is an emerging approach that allows for imaging of biological samples with reduced fluorescence background, photobleaching, and photodamage. In this review, we first present a brief overview of light sheet illumination and previous super-resolution techniques used for imaging of neurons and synapses. We then provide an in-depth technical review of the fundamental concepts and the current state of the art in the fields of three-dimensional single-molecule tracking and super-resolution imaging with light sheet illumination. We review how light sheet illumination can improve single-molecule tracking and super-resolution imaging in individual neurons and synapses, and we discuss emerging perspectives and new innovations that have the potential to enable and improve single-molecule imaging in brain tissue.

scholarly journals Isotropic Three-Dimensional Dual-Color Super-Resolution Microscopy with Metal-Induced Energy Transfer

2021 ◽  
Author(s):  
Jan Christoph Thiele ◽  
Marvin Jungblut ◽  
Dominic A. Helmerich ◽  
Roman Tsukanov ◽  
Anna Chizhik ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Single Molecule ◽  
Three Dimensional ◽  
Super Resolution ◽  
Three Dimensions ◽  
Lateral Resolution ◽  
Cellular Structures ◽  
Axial Resolution ◽  
Dual Color ◽  
Super Resolution Microscopy

Over the last two decades, super-resolution microscopy has seen a tremendous development in speed and resolution, but for most of its methods, there exists a remarkable gap between lateral and axial resolution. Similar to conventional optical microscopy, the axial resolution is by a factor three to five worse than the lateral resolution. One recently developed method to close this gap is metal-induced energy transfer (MIET) imaging which achieves an axial resolution down to nanometers. It exploits the distance dependent quenching of fluorescence when a fluorescent molecule is brought close to a metal surface. In the present manuscript, we combine the extreme axial resolution of MIET imaging with the extraordinary lateral resolution of single-molecule localization microscopy, in particular with direct stochastic optical reconstruction microscopy (dSTORM). This combination allows us to achieve isotropic three-dimensional super-resolution imaging of sub-cellular structures. Moreover, we employed spectral demixing for implementing dual-color MIET-dSTORM that allows us to image and co-localize, in three dimensions, two different cellular structures simultaneously.

scholarly journals Cryogenic Super-Resolution Fluorescence and Electron Microscopy Correlated at the Nanoscale

2021 ◽  
Vol 72 (1) ◽  
Author(s):  
Peter D. Dahlberg ◽  
W.E. Moerner
Keyword(s):  
Electron Microscopy ◽  
Single Molecule ◽  
Electron Tomography ◽  
Light And Electron Microscopy ◽  
Super Resolution ◽  
Nanometer Scale ◽  
Annual Review ◽  
Publication Date ◽  
Fluorescence And Electron Microscopy ◽  
Cellular Context

We review the emerging method of super-resolved cryogenic correlative light and electron microscopy (srCryoCLEM). Super-resolution (SR) fluorescence microscopy and cryogenic electron tomography (CET) are both powerful techniques for observing subcellular organization, but each approach has unique limitations. The combination of the two brings the single-molecule sensitivity and specificity of SR to the detailed cellular context and molecular scale resolution of CET. The resulting correlative data is more informative than the sum of its parts. The correlative images can be used to pinpoint the positions of fluorescently labeled proteins in the high-resolution context of CET with nanometer-scale precision and/or to identify proteins in electron-dense structures. The execution of srCryoCLEM is challenging and the approach is best described as a method that is still in its infancy with numerous technical challenges. In this review, we describe state-of-the-art srCryoCLEM experiments, discuss the most pressing challenges, and give a brief outlook on future applications. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 72 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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