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Surface Imaging Microscope

机译:表面成像显微镜

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摘要

The three-dimensional shapes of microscopic objects are becoming increasingly important for battlespace CBRNE sensing. Potential applications of microscopic 3D shape observations include characterization of biological weapon particles and manufacturing of micromechanical components. Aerosol signatures of stand-off lidar systems, using elastic backscatter or polarization, are dictated by the aerosol particle shapes and sizes that must be well characterized in the lab. A low-cost, fast instrument for 3D surface shape microscopy will be a valuable point sensor for biological particle sensing applications. Both the cost and imaging durations of traditional techniques such as confocal microscopes, atomic force microscopes, and electron scanning microscopes are too high.rnWe investigated the feasibility of a low-cost, fast interferometric technique for imaging the 3D surface shape of microscopic objects at frame rates limited only by the camera in the system. The system operates at two laser wavelengths producing two fringe images collected simultaneously by a digital camera, and a specialized algorithm we developed reconstructs the surface map of the microscopic object. The current implementation assembled to test the concept and develop the new 3D reconstruction algorithm has 0.25 micron resolution in the x and y directions, and about 0.1 micron accuracy in the z direction, as tested on a microscopic glass test object manufactured with etching techniques. We describe the interferometric instrument, present the reconstruction algorithm, and discuss further development.
机译:微观物体的三维形状对于战场CBRNE传感越来越重要。微观3D形状观察的潜在应用包括生物武器颗粒的表征和微机械组件的制造。采用弹性后向散射或极化作用的对立激光雷达系统的气溶胶特征取决于必须在实验室中充分表征的气溶胶颗粒的形状和大小。用于3D表面形状显微镜的低成本,快速仪器将是用于生物颗粒传感应用的有价值的点传感器。共焦显微镜,原子力显微镜和电子扫描显微镜等传统技术的成本和成像持续时间都太高。rn我们研究了一种低成本,快速干涉技术在框架上对微观物体的3D表面形状成像的可行性。费率仅受系统中相机的限制。该系统在两个激光波长下工作,产生由数码相机同时收集的两个条纹图像,并且我们开发的专用算法可重建微观对象的表面图。目前的实现方式是为了测试这一概念并开发新的3D重建算法而设计的,该方法在x和y方向上具有0.25微米的分辨率,在z方向上具有约0.1微米的精度,这是在用蚀刻技术制造的显微镜玻璃测试对象上进行的测试。我们描述了干涉仪,介绍了重建算法,并讨论了进一步的发展。

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