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

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.

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Publication Details

Journal
Micromachines
Published
2024-10-11
DOI
https://doi.org/10.3390/mi15101250
Citations
2
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.64

Funders

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article

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

Juntian Qu, Pengfei Jiang, Xuexuan Li, Zhen Zhang et al.
2 citations
Micromachines
Image Processing Techniques and Applications
0.64
article

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

Juntian Qu, Pengfei Jiang, Xuexuan Li, Zhen Zhang, Chang Liu, Ziyue Wang, Wei Zhang, Jichang Guo, Zhiliang Chen, Yijie Liu, Wang Ren, Chao Luo, Yaozhong Wei
article en
2 citations

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.

MicromachinesVol. 15(10)
University Town of Shenzhen (CN), China Coal Technology and Engineering Group Corp (China) (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Image Processing Techniques and Applications
0.64
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