论文标题

用于大容量成像的合成多对焦光学显微镜

Synthetic multi-focus optical-resolution photoacoustic microscope for large volumetric imaging

论文作者

Song, Xianlin, Wei, Jianshuang, Song, Lingfang

论文摘要

光声显微镜已成为生物医学研究的重要工具。它已被广泛用于生物学研究,例如脉管系统的结构成像,大脑结构和功能成像以及肿瘤检测。常规的光学分辨率光声显微镜(OR-PAM)采用聚焦的高斯光束,通过具有高数值孔径的显微镜物镜实现高横向分辨率。由于聚焦的高斯光束仅在焦点中具有狭窄的深度范围,因此深度方向的细节很小。在这里,我们使用基于多尺度加权梯度的融合开发了一种合成的多对焦光学显微镜光学显微镜。基于图像结构的显着性,使用了基于梯度的多聚焦图像融合方法,并使用多规模方法来确定梯度权重。我们特别注意双尺度方案,该方案有效地解决了由各向异性模糊和注册错误引起的融合问题。首先,使用基于结构的大规模焦点测量方法来减少各向异性模糊和注册误差对检测焦点区域的影响,然后通过应用小规模的焦点测量来使用边缘波浪附近的梯度重量。进行了模拟以测试我们方法的性能,使用不同的集中图像来验证该方法的可行性。通过计算熵,均方根误差(MSE)和边缘强度来分析我们方法的性能。模拟的结果表明,这种方法可以两次扩展PAM的景深,而无需牺牲横向分辨率。斑马鱼的体内成像进一步证明了我们方法的可行性。

Photoacoustic microscopy is becoming an important tool for the biomedical research. It has been widely used in biological researches, such as structural imaging of vasculature, brain structural and functional imaging, and tumor detection. The conventional optical-resolution photoacoustic microscopy (OR- PAM) employs focused gaussian beam to achieve high lateral resolution by a microscope objective with high numerical apertures. Since the focused gaussian beam only has narrow depth range in focus, little detail in depth direction can be revealed. Here, we developed a synthetic multi-focus optical-resolution photoacoustic microscope using multi-scale weighted gradient-based fusion. Based on the saliency of the image structure, a gradient-based multi-focus image fusion method is used, and a multi-scale method is used to determine the gradient weights. We pay special attention to a dual-scale scheme, which effectively solves the fusion problem caused by anisotropic blur and registration error. First, the structure-based large-scale focus measurement method is used to reduce the effect of anisotropic blur and registration error on the detection of the focus area, and then the gradient weights near the edge wave are used by applying the small-scale focus measure. Simulation was performed to test the performance of our method, different focused images were used to verify the feasibility of the method. Performance of our method was analyzed by calculating Entropy, Mean Square Error (MSE) and Edge strength. The result of simulation shown that this method can extend the depth of field of PAM two times without the sacrifice of lateral resolution. And the in vivo imaging of the zebra fish further demonstrates the feasibility of our method.

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