Three-dimensional super-resolution and localization of dense clusters of single molecules
TLDR
A localization scheme is proposed that can identify several overlapping molecule images while maintaining high localization precision and substantially increase the allowable labeling density and accelerate the data collection time of single-molecule localization microscopy by more than one order of magnitude.Abstract:
When a single molecule is detected in a wide-field microscope, the image approximates the point spread function of the system. However, as the distribution of molecules becomes denser and their images begin to overlap, existing solutions to determine the number of molecules present and their precise three-dimensional locations can tolerate little to no overlap. We propose a localization scheme that can identify several overlapping molecule images while maintaining high localization precision. A solution to this problem involving matched optical and digital techniques, as here proposed, can substantially increase the allowable labeling density and accelerate the data collection time of single-molecule localization microscopy by more than one order of magnitude.read more
Citations
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Deep-STORM: super-resolution single-molecule microscopy by deep learning
TL;DR: Deep-STORM as mentioned in this paper uses a deep convolutional neural network that can be trained on simulated data or experimental measurements, both of which are demonstrated to achieve state-of-the-art resolution under challenging signal-to-noise conditions and high emitter densities.
Journal ArticleDOI
Single Particle Tracking: From Theory to Biophysical Applications
Hao Shen,Lawrence J. Tauzin,Rashad Baiyasi,Wenxiao Wang,Nicholas A. Moringo,Bo Shuang,Christy F. Landes +6 more
TL;DR: This review summarizes the algorithms behind, and practical applications of, single particle tracking, and highlights some applications of SPT to study various biological and synthetic materials systems.
Journal ArticleDOI
Three-Dimensional Localization of Single Molecules for Super-Resolution Imaging and Single-Particle Tracking
TL;DR: In this article, a variety of methods for obtaining both 3D super-resolution images and 3D tracking infers structures or motions extending in the axial direction can easily be missed or confused.
Journal ArticleDOI
Deep-STORM: super-resolution single-molecule microscopy by deep learning
TL;DR: Deep-STORM uses a deep convolutional neural network that can be trained on simulated data or experimental measurements, both of which are demonstrated, and achieves state-of-the-art resolution under challenging signal-to-noise conditions and high emitter densities.
Journal ArticleDOI
Extracting quantitative information from single-molecule super-resolution imaging data with LAMA - LocAlization Microscopy Analyzer.
TL;DR: The LocAlization Microscopy Analyzer (LAMA) is introduced, a comprehensive software tool that extracts quantitative information from single-molecule super-resolution imaging data and allows characterizing cellular structures by their size, shape, intensity, distribution, as well as the degree of colocalization with other structures.
References
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Posted Content
Stable Signal Recovery from Incomplete and Inaccurate Measurements
TL;DR: It is shown that it is possible to recover x0 accurately based on the data y from incomplete and contaminated observations.