Micro-optics assembly for fast axis collimation by means of convolutional neural network-Reference-Cited by-同舟云学术

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Micro-optics assembly for fast axis collimation by means of convolutional neural network

Published:2021-08-03 Issue:17 Volume:29 Page:26765
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Khachikyan Alexander,Pippione Giulia,Sengünes Mehmet Inanc,Paoletti Roberto,Seyfried Moritz

Funder

European Union's Horizon 2020 research and innovation programme

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference7 articles.

1. Cylindrical microlenses for collimating high-power diode lasers

2. Influence of positioning errors of the laser collimator on the beam shape and coupling efficiency

3. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

4. Application of Gaussian beam ray-equivalent model and back-propagation artificial neural network in laser diode fast axis collimator assembly

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Asymmetric convolutional multi-level attention network for micro-lens segmentation;Engineering Applications of Artificial Intelligence;2024-07

2. Inhomogeneous thermal analysis of microlayer mold for glass molding of fast-axis collimation lens array;Optics and Lasers in Engineering;2024-03

3. Immersion laser separation: Enhancing efficiency and quality in cutting irregular lenses;Journal of Materials Processing Technology;2024-02

4. A review of automation of laser optics alignment with a focus on machine learning applications;Optics and Lasers in Engineering;2024-02

5. Immersion Laser Separation: Enhancing Efficiency and Quality in Cutting Irregular Lenses;2023

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