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Iterative deconvolution technique for measurements of diffraction-limited images on optical microscopes

机译:迭代反卷积技术在光学显微镜上测量衍射极限图像

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摘要

Diffraction limit is usually a thorny problem in an optical inspection system. In this investigation, a model-based deconvolution technique was developed to recover diffraction-limited images, where images with sizes smaller than the diffraction limit could be recognized. Experiments were carried out with a traditional microscope at 200× magnification coupled with a halogen light source for a series of line width samples. The point spread function of the imaging optics was first obtained from an estimated model and then combined with a nonlinear deconvolution algorithm to calculate the full width at half maximum and reconstruct the line widths. Experimental results indicate that a measurement error below one pixel size of the measurement system is achievable. Accordingly, the target of nanoscale line width inspection based on a low cost and real-time image processing technique can be fulfilled, which greatly increases the ability of nanoscaling on optical microscopes.
机译:在光学检查系统中,衍射极限通常是一个棘手的问题。在这项研究中,开发了一种基于模型的反卷积技术来恢复衍射受限的图像,其中可以识别尺寸小于衍射极限的图像。实验是使用传统显微镜在200倍放大倍率下结合卤素光源对一系列线宽样品进行的。首先从估计的模型中获得成像光学器件的点扩展函数,然后将其与非线性反卷积算法结合起来,以计算半峰全宽并重建线宽。实验结果表明,可以实现低于测量系统一个像素大小的测量误差。因此,可以实现基于低成本和实时图像处理技术的纳米级线宽检查的目标,这大大提高了在光学显微镜上进行纳米级缩放的能力。

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