Complex amplitude mapping based on adaptive autofocusing algorithm
Complex amplitude mapping based on adaptive autofocusing algorithm
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DOI：
10.1007/s10043-019-00507-5
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发表时间：
2019-04
期刊：
影响因子：
1.2
通讯作者：
K. Komuro;Kazusa Oe;Y. Tamada;T. Nomura
中科院分区：
文献类型：
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作者：
K. Komuro;Kazusa Oe;Y. Tamada;T. Nomura
由于使用常规成像技术只能在单个二维平面中获得复振幅分布，因此难以获得三维结构（不是薄物体）或不同深度位置中的多个物体的聚焦复振幅。这一缺点往往成为实际应用的障碍，如细胞观察，颗粒测量和工业检测。针对这一问题，提出了自适应自聚焦算法（AAA）。AAA由复振幅测量、数值传播和局部锐度评估组成。在所提出的方法中，对象的位置可以确定为每个像素的复振幅分布使用自适应选择的区域大小的局部清晰度评价。所提出的方法给出了一个复杂的振幅分布集中在所有对象或结构在整个视场。利用强度输运方程作为复振幅测量，进行了光学实验。所提出的方法的性能确认使用活叶的mossPhyscomitrella patens。实验结果表明，该方法可以确定物体的位置，并可以得到一个聚焦的复振幅分布。
Since a complex amplitude distribution can be obtained in only a single two-dimensional plane using conventional imaging techniques, it is hard to obtain in-focus complex amplitude of three-dimensional structure (not a thin object) or multiple objects in different depth positions. The disadvantage often turns an obstacle to practical applications such as cell observation, particle measurement, and industrial inspection. To overcome the problem, adaptive autofocusing algorithm (AAA) is proposed. AAA consists of a complex amplitude measurement, numerical propagation, and local sharpness evaluation. In the proposed method, object positions can be determined for each pixel in the complex amplitude distribution using adaptively chosen area size of local sharpness evaluation. The proposed method gives a complex amplitude distribution which focuses on all objects or structure over an entire field of view. An optical experiment is carried out using the transport of intensity equation as a complex amplitude measurement. Performance of the proposed method is confirmed using living leaves of the mossPhyscomitrella patens. Experimental results show that the object positions can be determined pixelwise and a focused complex amplitude distribution can be obtained by the proposed method.