High Precision Identification of Fluorescent Dipole Spatial Orientation Based on Artificial Neural Network-Reference-Cited by-同舟云学术

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High Precision Identification of Fluorescent Dipole Spatial Orientation Based on Artificial Neural Network

Published:2024 Issue:04 Volume:13 Page:4139-4149
ISSN:2324-8696
Container-title:Modeling and Simulation
language:
Short-container-title:MOS

Author:

黄梓浩

Publisher

Hans Publishers

Reference41 articles.

1. Born, M. and Wolf, E. (2013) Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light. Elsevier.

2. Imaging Live Cells at the Nanometer-Scale with Single-Molecule Microscopy: Obstacles and Achievements in Experiment Optimization for Microbiology

3. Imaging Intracellular Fluorescent Proteins at Nanometer Resolution

4. Ultra-High Resolution Imaging by Fluorescence Photoactivation Localization Microscopy

5. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)

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