Image-Based Auto-Focus Microscope System with Visual Servo Control for Micro-Stereolithography.

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Micromachines Pub Date : 2024-10-11 DOI:10.3390/mi15101250
Yijie Liu, Xuexuan Li, Pengfei Jiang, Ziyue Wang, Jichang Guo, Chao Luo, Yaozhong Wei, Zhiliang Chen, Chang Liu, Wang Ren, Wei Zhang, Juntian Qu, Zhen Zhang
{"title":"Image-Based Auto-Focus Microscope System with Visual Servo Control for Micro-Stereolithography.","authors":"Yijie Liu, Xuexuan Li, Pengfei Jiang, Ziyue Wang, Jichang Guo, Chao Luo, Yaozhong Wei, Zhiliang Chen, Chang Liu, Wang Ren, Wei Zhang, Juntian Qu, Zhen Zhang","doi":"10.3390/mi15101250","DOIUrl":null,"url":null,"abstract":"<p><p>Micro-stereolithography (μSL) is an advanced additive manufacturing technique that enables the fabrication of highly precise microstructures with fine feature resolution. One of the primary challenges in μSL is achieving and maintaining precise focus throughout the fabrication process. For the successful application of μSL, it is essential to maintain the sample surface within a focal depth of several microns. Despite the growing interest in auto-focus devices, limited attention has been directed towards auto-focus systems in image-based auto-focus microscope systems for precision μSL. To address this challenge, we propose an image-based auto-focus microscope system incorporating visual servo control. In the optical design, a transflective beam splitter is employed, allowing the laser beam to pass through for fabrication while reflecting the focused beam on the sample surface to the microscope and camera. Utilizing captured spot images and the Foucault knife-edge test, a deep learning-based laser spot image processing algorithm is developed to determine the focus position based on spot size and the number of spot pixels on both sides. Experimental results demonstrate that the proposed auto-focus system effectively determines the relative position of the focal point using the laser spot image and achieves auto-focusing through visual servo control.</p>","PeriodicalId":18508,"journal":{"name":"Micromachines","volume":"15 10","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11509336/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Micromachines","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3390/mi15101250","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Micro-stereolithography (μSL) is an advanced additive manufacturing technique that enables the fabrication of highly precise microstructures with fine feature resolution. One of the primary challenges in μSL is achieving and maintaining precise focus throughout the fabrication process. For the successful application of μSL, it is essential to maintain the sample surface within a focal depth of several microns. Despite the growing interest in auto-focus devices, limited attention has been directed towards auto-focus systems in image-based auto-focus microscope systems for precision μSL. To address this challenge, we propose an image-based auto-focus microscope system incorporating visual servo control. In the optical design, a transflective beam splitter is employed, allowing the laser beam to pass through for fabrication while reflecting the focused beam on the sample surface to the microscope and camera. Utilizing captured spot images and the Foucault knife-edge test, a deep learning-based laser spot image processing algorithm is developed to determine the focus position based on spot size and the number of spot pixels on both sides. Experimental results demonstrate that the proposed auto-focus system effectively determines the relative position of the focal point using the laser spot image and achieves auto-focusing through visual servo control.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于图像的自动聚焦显微系统,带用于微立体光刻的视觉伺服控制。
微立体光刻(μSL)是一种先进的增材制造技术,能够制造出具有精细特征分辨率的高精度微结构。微立体光刻技术的主要挑战之一是在整个制造过程中实现并保持精确聚焦。要成功应用 μSL 技术,必须将样品表面保持在几微米的焦深范围内。尽管人们对自动对焦设备的兴趣与日俱增,但对基于图像的自动对焦显微系统中用于精确μSL 的自动对焦系统的关注却十分有限。为了应对这一挑战,我们提出了一种结合视觉伺服控制的基于图像的自动聚焦显微系统。在光学设计中,我们采用了一个透反射式分光镜,允许激光束穿过进行制造,同时将样品表面上的聚焦光束反射到显微镜和摄像头上。利用捕获的光斑图像和傅科刀刃测试,开发了一种基于深度学习的激光光斑图像处理算法,可根据光斑尺寸和两侧光斑像素的数量确定焦点位置。实验结果表明,所提出的自动对焦系统能有效地利用激光光斑图像确定焦点的相对位置,并通过视觉伺服控制实现自动对焦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Micromachines
Micromachines NANOSCIENCE & NANOTECHNOLOGY-INSTRUMENTS & INSTRUMENTATION
CiteScore
5.20
自引率
14.70%
发文量
1862
审稿时长
16.31 days
期刊介绍: Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
期刊最新文献
A 2-D Fully Polarized Van Atta Array Based on Wide-Beam Tri-Polarized Antennas. A High-Performance Micro Differential Pressure Sensor. A Polycarbonate-Assisted Transfer Method for van der Waals Contacts to Magnetic Two-Dimensional Materials. Buckling Behavior Analysis of Kirigami Structure Under Tension. Performance Improvement of TiO2 Ultraviolet Photodetectors by Using Atomic Layer Deposited Al2O3 Passivation Layer.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1