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首页> 外文会议>Single Molecule Spectroscopy and Superresolution Imaging XII >Single image deconvolution with super-resolution using the SUPPOSe algorithm
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Single image deconvolution with super-resolution using the SUPPOSe algorithm

机译：使用SUPPOSe算法以超分辨率进行单图像反卷积

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摘要

We present the results of super-resolution deconvolution of uorescent intracellular images using the SUPPOSealgorithm. The image is acquired using a standard uorescence microscope and a CMOs low noise high dynamicrange camera. The algorithm relies in assuming that the image source can be described by an incoherentsuperposition of point sources and a precise measurement of the microscope point spread function (PSF). Thedeconvolution problem is converted into finding the number of sources and the position of the sources thatmaximize the similarity between the measured image and the convolution of the sources with the PSF. Themaximization is performed using a genetic algorithm. A fivefold increase in resolution is shown both by invertinga synthesized artificial image and using known beads clusters. The algorithm was applied to reconstructingimages from bovine pulmonary artery endothelial cells with uorescent labels for the F-actin and microtubules.The PSF is measured using 50nm uorescent beads being the size of the beads the final limitation in the retrievalalgorithm. The algorithm is used for the reconstruction requires the precise measurements of the PSF and thenoise figure of the camera. It can be applied to reconstruct the image with super-resolution down to λ/10 andalso to increase the resolution using a low magnification for wide field objective.
机译：我们介绍了使用SUPPOSe \ r \ nalgorithm对\ ruorescent细胞内图像进行超分辨率反卷积的结果。使用标准\荧光显微镜和CMO低噪声高动态\ r \ n范围相机获取图像。该算法假设图像源可以通过点源的非相干叠加和对显微镜点扩散函数（PSF）的精确测量来描述。去卷积问题被转换成寻找源的数量和源的位置，以最大化被测图像与源与PSF的卷积之间的相似度。使用遗传算法执行最大化。通过反转合成的人工图像和使用已知的珠簇，分辨率均提高了五倍。该算法已应用于从带有F-肌动蛋白和微管荧光标记的牛肺动脉内皮细胞重建图像。\ r \ nPSF使用50nm荧光珠测量，荧光珠的大小是最终的局限性检索\ r \ nalgorithm。该算法用于重建时，需要对PSF和摄像机的噪声系数进行精确测量。它可用于重建低至λ/ 10的超分辨率图像，也可用于低倍率的宽视场物镜以提高分辨率。

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  • 会议地点 2410-9045;1605-7422
  • 作者

    Micaela Toscani; Sandra Martinez; Oscar E. Martinez;

  • 作者单位

    Departamento de Fsica, FI-UBA, Photonics Lab, CONICET, Buenos Aires, Argentina mtoscani@.uba.ar;

    Departamento de Fsica, FI-UBA, Photonics Lab, CONICET, Buenos Aires, Argentina smartin@dm.uba.ar;

    Departamento de Matemtica, FCEyN-UBA, IMAS, CONICET, Buenos Aires, Argentina omartinez@.uba.ar;

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