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Scalable variational inference for super resolution microscopy

https://doi.org/10.1101/081703
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cphc.201100735openalex-snapshot
Multicolor Super‐Resolution Fluorescence Imaging via Multi‐Parameter Fluorophore Detection
inferredcites →https://doi.org/10.1016/j.bpj.2012.03.070openalex-snapshot
Statistical Deconvolution for Superresolution Fluorescence Microscopy
inferredcites →https://doi.org/10.1016/j.neuron.2016.02.016openalex-snapshot
Population-Level Representation of a Temporal Sequence Underlying Song Production in the Zebra Finch
inferredcites →https://doi.org/10.1038/nmeth.1812openalex-snapshot
Bayesian localization microscopy reveals nanoscale podosome dynamics
inferredcites →https://doi.org/10.1038/nmeth.1978openalex-snapshot
Faster STORM using compressed sensing
inferredcites →https://doi.org/10.1038/nmeth.2844openalex-snapshot
Fluorophore localization algorithms for super-resolution microscopy
inferredcites →https://doi.org/10.1038/nmeth.3442openalex-snapshot
Quantitative evaluation of software packages for single-molecule localization microscopy
inferredcites →https://doi.org/10.1038/nmeth929openalex-snapshot
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
inferredcites →https://doi.org/10.1038/srep04577openalex-snapshot
FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data
inferredcites →https://doi.org/10.1038/srep21413openalex-snapshot
Sparse deconvolution of high-density super-resolution images
inferredcites →https://doi.org/10.1080/01621459.2017.1285773openalex-snapshot
Variational Inference: A Review for Statisticians
inferredcites →https://doi.org/10.1103/physrevlett.109.168102openalex-snapshot
Unified Resolution Bounds for Conventional and Stochastic Localization Fluorescence Microscopy
inferredcites →https://doi.org/10.1109/acc.2009.5160593openalex-snapshot
LQG-based tracking of multiple fluorescent particles in two-dimensions in a confocal microscope
inferredcites →https://doi.org/10.1126/science.1127344openalex-snapshot
Imaging Intracellular Fluorescent Proteins at Nanometer Resolution
inferredcites →https://doi.org/10.1126/science.1153529openalex-snapshot
Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy
inferredcites →https://doi.org/10.1186/2192-2853-1-6openalex-snapshot
A high-density 3D localization algorithm for stochastic optical reconstruction microscopy
inferredcites →https://doi.org/10.7551/mitpress/8996.003.0004openalex-snapshot
Convex Optimization with Sparsity-Inducing Norms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1101/267096openalex-snapshot
DeepLoco: Fast 3D Localization Microscopy Using Neural Networks
inferred← citeshttps://doi.org/10.1101/276253openalex-snapshot
Scalable approximate Bayesian inference for particle tracking data
inferred← citeshttps://doi.org/10.1214/21-aoas1441openalex-snapshot
A Bayesian nonparametric approach to super-resolution single-molecule localization
inferred← citeshttps://doi.org/10.48550/arxiv.1907.00770openalex-snapshot
Teaching deep neural networks to localize single molecules for super-resolution microscopy
inferred← citeshttps://doi.org/10.70675/bf8f07fdzcbc2z44f3z96bcz2a51c16db330openalex-snapshot
Tools to analyze single-particle tracking data in mammalian cells
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