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基于机器视觉的核孔膜孔径自动测量

Automated Pore Size Analysis of Nuclear Pore Membrane Using Machine Vision

  • 摘要: 核孔膜作为一种新型的微孔滤膜,通过控制辐照和蚀刻条件,就可以得到不同孔密度和孔径的核孔膜。进行核孔膜孔径和孔密度检测是保证核孔膜精密过滤的关键环节。核孔膜孔径一般从零点几微米到十几微米不等,通过扫描电镜或光学显微镜成像观测。开发基于机器视觉算法的核孔膜孔径自动化测量方法,对电镜或光镜扫描图像依次做USM(Unsharping Mask)锐化处理、腐蚀膨胀处理、霍夫圆检测以及同心圆检测处理,可检测到锥孔和重孔,得到核孔膜孔内外径及其统计分布。该方法检测显微镜下的核孔膜孔参数,准确度高,与人工统计偏差在5%之内,同时该算法检测时间短,极大地提高了检测效率。在光学显微镜核孔膜图像检测运用中,对于各种复杂情况孔的识别准确度高,为后续将光学显微镜部署在核孔膜生产产线上提供基础,从而实现全流程的核孔膜孔径自动化统计。

     

    Abstract: As a new type of microporous filter membrane, nuclear pore membrane can be obtained with varying pore density and pore diameter by controlling irradiation and etching conditions. Accurate measurement of pore diameter and density is critical to ensuring the precision filtration performance of nuclear pore membrane. The pore diameters of nuclear pore membrane typically range from sub-micron scales(0.1~1 μm) to over ten microns and can be observed through imaging techniques such as scanning electron microscopy or optical microscopy. An automatic measurement of pore diameter of nuclear pore membrane based on machine visual algorithm is developed. The scanning images of electron microscope or optical microscope are processed by USM(Unsharping Mask) sharpening, corrosion expansion, Hough circle detection and concentric circle detection, which can detect cone holes and repeated holes, and obtain the inner and outer diameters of nuclear pore membrane and their statistical distribution. This method detects the pore parameters of nuclear pore membrane under the microscope with high accuracy, and the deviation from manual statistics is within 5%. Additionally, the algorithm's rapid processing time significantly enhances detection efficiency. In optical microscopy applications for nuclear pore membrane image analysis, the system demonstrates exceptional recognition accuracy for diverse complex and pore geometries. This capability supports the integration of optical microscopy into automated quality control workflows for nuclear pore membrane production, enabling end-to-end automated pore diameter statistics.

     

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