A Statistical Focusing Metric for Fluorescent Microscopy

A. Çapar, Ramazan Cagac, Nurcan Komutan
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Abstract

Autofocusing has critical importance for imaging systems with motorized microscopes in healthcare. It is not possible to diagnose on a picture that captured out of focus. In the literature, it has been observed that there are limited studies on focusing methods specific to fluorescent microscopes. In this study, a focus metric is proposed special to fluorescent microscope images. The proposed metric evaluates the responses generated by gradient filters of varying kernel size at a pixel point, and takes into account their standard deviations. The proposed method was tested on lung and breast tissue samples obtained with fluorescent microscope, and experimental results were reported. It is shown that the developed method overperforms the local gradient filters and produces an average error of 0.16 levels.
荧光显微镜的统计聚焦度量
在医疗保健中,自动聚焦对于带有电动显微镜的成像系统至关重要。在失焦的照片上诊断是不可能的。在文献中,已经观察到对荧光显微镜特异性聚焦方法的研究有限。本文提出了一种针对荧光显微镜图像的聚焦度量方法。所提出的度量评估在像素点上不同核大小的梯度滤波器产生的响应,并考虑它们的标准差。用荧光显微镜对所得到的肺和乳腺组织样本进行了实验,并报道了实验结果。结果表明,该方法优于局部梯度滤波器,平均误差为0.16个水平。
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