Deep-STORM: super-resolution single-molecule microscopy by deep learning
Abstract
We present an ultrafast, precise, parameter-free method, which we term Deep-STORM, for obtaining super-resolution images from stochastically blinking emitters, such as fluorescent molecules used for localization microscopy. Deep-STORM uses a deep convolutional neural network that can be trained on simulated data or experimental measurements, both of which are demonstrated. The method achieves state-of-the-art resolution under challenging...
Paper Details
Title
Deep-STORM: super-resolution single-molecule microscopy by deep learning
Published Date
Apr 20, 2018
Journal
Volume
5
Issue
4
Pages
458 - 464
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