AIMC Topic: Single Molecule Imaging

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DBlink: dynamic localization microscopy in super spatiotemporal resolution via deep learning.

Nature methods Jul 27, 2023
Single-molecule localization microscopy (SMLM) has revolutionized biological imaging, improving the spatial resolution of traditional microscopes by an order of magnitude. However, SMLM techniques require long acquisition times, typically a few minut...
Neural Networks, Computer Deep Learning Microscopy Single Molecule Imaging Cytoskeleton
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Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging.

Nature communications May 18, 2023
Single-molecule localization microscopy (SMLM) can be used to resolve subcellular structures and achieve a tenfold improvement in spatial resolution compared to that obtained by conventional fluorescence microscopy. However, the separation of single-...
Neural Networks, Computer Deep Learning Microscopy, Fluorescence Single Molecule Imaging
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An Unsupervised Classification Algorithm for Heterogeneous Cryo-EM Projection Images Based on Autoencoders.

International journal of molecular sciences May 6, 2023
Heterogeneous three-dimensional (3D) reconstruction in single-particle cryo-electron microscopy (cryo-EM) is an important but very challenging technique for recovering the conformational heterogeneity of flexible biological macromolecules such as pro...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Cluster Analysis Single Molecule Imaging Cryoelectron Microscopy
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Machine-learning-powered extraction of molecular diffusivity from single-molecule images for super-resolution mapping.

Communications biology Mar 28, 2023
While critical to biological processes, molecular diffusion is difficult to quantify, and spatial mapping of local diffusivity is even more challenging. Here we report a machine-learning-enabled approach, pixels-to-diffusivity (Pix2D), to directly ex...
Neural Networks, Computer Machine Learning Single Molecule Imaging
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Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging.

Nature methods Feb 23, 2023
Single-molecule localization microscopy in a typical wide-field setup has been widely used for investigating subcellular structures with super resolution; however, field-dependent aberrations restrict the field of view (FOV) to only tens of micromete...
Deep Learning Imaging, Three-Dimensional Single Molecule Imaging
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Development of Deep-Learning-Based Single-Molecule Localization Image Analysis.

International journal of molecular sciences Jun 21, 2022
Recent developments in super-resolution fluorescence microscopic techniques (SRM) have allowed for nanoscale imaging that greatly facilitates our understanding of nanostructures. However, the performance of single-molecule localization microscopy (SM...
Algorithms Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence Single Molecule Imaging
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Precise measurement of nanoscopic septin ring structures with deep learning-assisted quantitative superresolution microscopy.

Molecular biology of the cell May 20, 2022
The combination of image analysis and superresolution microscopy methods allows for unprecedented insight into the organization of macromolecular assemblies in cells. Advances in deep learning (DL)-based object recognition enable the automated proces...
Deep Learning Macromolecular Substances Microscopy Single Molecule Imaging Cytoskeleton Septins
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Receptor tyrosine kinase MET ligand-interaction classified via machine learning from single-particle tracking data.

Molecular biology of the cell Feb 16, 2022
Internalin B-mediated activation of the membrane-bound receptor tyrosine kinase MET is accompanied by a change in receptor mobility. Conversely, it should be possible to infer from receptor mobility whether a cell has been treated with internalin B. ...
Artificial Intelligence Machine Learning Ligands Single Molecule Imaging Proto-Oncogene Proteins c-met
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Deep learning enables fast and dense single-molecule localization with high accuracy.

Nature methods Sep 3, 2021
Single-molecule localization microscopy (SMLM) has had remarkable success in imaging cellular structures with nanometer resolution, but standard analysis algorithms require sparse emitters, which limits imaging speed and labeling density. Here, we ov...
Software Databases, Factual Animals Deep Learning Image Processing, Computer-Assisted Chlorocebus aethiops Single Molecule Imaging COS Cells
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Robust deep learning optical autofocus system applied to automated multiwell plate single molecule localization microscopy.

Journal of microscopy Aug 13, 2021
We presenta robust, long-range optical autofocus system for microscopy utilizing machine learning. This can be useful for experiments with long image data acquisition times that may be impacted by defocusing resulting from drift of components, for ex...
Machine Learning Deep Learning Microscopy Single Molecule Imaging
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