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相关概念视频

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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相关实验视频

Updated: Jun 9, 2025

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
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基于图像的自动聚焦显微镜系统,具有视觉伺服控制,用于微型立体石刻.

Yijie Liu1,2,3,4,5, Xuexuan Li3,4, Pengfei Jiang1,2,5

  • 1Coal Mining Research Institute, China Coal Technology and Engineering Group Co., Ltd., Beijing 100013, China.

Micromachines
|October 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种先进的自动对焦显微镜系统,用于微型立体电法 (μSL). 该系统使用视觉伺服控制和深度学习来精确地保持激光焦点,提高微观结构制造的准确性.

关键词:
自动聚焦功能 自动聚焦功能深度学习是一种深度学习.激光 激光 激光 激光 激光机器视觉 机器视觉 机器视觉微型立体立体光刻法视觉伺服控制器控制器

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Video-rate Scanning Confocal Microscopy and Microendoscopy
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科学领域:

  • 增材制造 增材制造 增材制造
  • 微型制造业的微型制造
  • 光学计量学 在光学计量学

背景情况:

  • 微型立体电法 (μSL) 需要精确的焦点来制造高分辨率的微型结构.
  • 保持样本表面焦点在微米内对于μSL成功至关重要.
  • 现有的自动对焦系统对精确的μSL应用缺乏足够的关注.

研究的目的:

  • 开发一种基于图像的自动聚焦显微镜系统,用于精密的微型立体立体光学.
  • 将视觉伺服控制与深度学习算法集成在一起,以实现准确的聚焦.
  • 为了应对在μSL过程中保持焦点的挑战.

主要方法:

  • 一个光学设计,利用一个透射光束分离器来引导激光和反射点图像.
  • 基于深度学习的算法处理激光点图像 (点大小,像素数) 以确定焦点.
  • 实现视觉伺服控制,用于自动调节焦点.

主要成果:

  • 拟议的系统有效地使用激光点图像来确定焦点的相对位置.
  • 实验结果证实了该系统在μSL的自动聚焦能力.
  • 开发的算法准确地利用点特征进行焦点评估.

结论:

  • 基于图像的自动对焦显微镜系统与视觉伺服控制是有效的精度μSL.
  • 基于深度学习的现场图像分析可以实现准确的焦点检测.
  • 这项技术提高了微型立体立体石材制造的可靠性和精度.