Three-Dimensional Topography Measurement for Confocal Microscopy With Arrayed Laser Spots

被引:1
作者
Hua, Zhijie [1 ]
Zhang, Xu [1 ]
Tu, Dawei [1 ]
Zhang, Xiangchao [2 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China
[2] Fudan Univ, Shanghai Engn Res Ctr Ultraprecis Opt Mfg, Sch Informat Sci & Technol, Shanghai 200438, Peoples R China
基金
中国国家自然科学基金;
关键词
3-D topography measurement; array spots; confocal; microscopy; LIGHT SHEET MICROSCOPY; RESOLUTION; SHAPE;
D O I
10.1109/TIM.2025.3554893
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Confocal microscopy plays a crucial role in topography measurement. However, conventional confocal microscopes usually have high-speed moving parts, which cause vibration, affect the measurement accuracy, and limit the scanning speed. Many studies have improved it, but the designed microscopes still have problems such as low photon utilization, high dependence on sample surface properties, and high complexity and manufacturing cost of the entire system. In this work, a 3-D topography measurement method for confocal microscopy with arrayed laser spots was introduced, namely, Lattice Confocal 3-D Reconstruction (LCTR), which can quickly measure the morphology widely and cheaply. First, a mask pattern with a pinhole array was designed specially, and the optical path of the whole system was built. Furthermore, a high-precision fast gradient positioning method was provided to locate the position of the arrayed spots on the imaging plane. In addition, a loop Barycentric interpolation (LBI) method was proposed to obtain the dense depth map from the sparse depth map more smoothly and stably. The experiment indicated that LCTR exhibits exceptional ability in measuring 3-D topography, with an average measurement error of 0.1 mu m and under 10 x and 20 x objectives. LCTR showed great versatility and measurement capabilities for different magnifications and sample morphology. LCTR has the advantages of low system complexity and cost, high measurement accuracy, stable and reliable repeatability, and high-quality 3-D point cloud data, which can be well applied in industrial detection and measurement.
引用
收藏
页数:16
相关论文
共 46 条
[1]   Measurement of Wenzel roughness factor by laser scanning confocal microscopy [J].
Ai Hongru ;
Li Xiangqin ;
Shi Shuyan ;
Zhang Ying ;
Liu Tianqing .
RSC ADVANCES, 2017, 7 (12) :7052-7059
[2]   Super-resolution spinning-disk confocal microscopy using optical photon reassignment [J].
Azuma, Takuya ;
Kei, Takayuki .
OPTICS EXPRESS, 2015, 23 (11) :15003-15011
[3]  
Bansal V., 2013, Cold Spring Harbor Protocols
[4]  
Bayguinov Peter O, 2018, Curr Protoc Cytom, V85, pe39, DOI 10.1002/cpcy.39
[5]  
Born M., 2013, Principles of optics: electromagnetic theory of propagation, interference and diffraction of light
[6]  
Bourke P., 1996, Res. Gate
[7]   On the Mathematical Properties of the Structural Similarity Index [J].
Brunet, Dominique ;
Vrscay, Edward R. ;
Wang, Zhou .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (04) :1488-1499
[8]   CONFOCAL IMAGING FOR 3-D DIGITAL MICROSCOPY [J].
CARLSSON, K ;
ASLUND, N .
APPLIED OPTICS, 1987, 26 (16) :3232-3238
[9]   Corrected parabolic fitting for height extraction in confocal microscopy [J].
Chen, Cheng ;
Wang, Jian ;
Leach, Richard ;
Lu, Wenlong ;
Liu, Xiaojun ;
Jiang, Xiangqian .
OPTICS EXPRESS, 2019, 27 (03) :3682-3697
[10]  
Chen Y., 2010, P INT C BIOM ENG COM, P1