PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES

描述：(摘自摘要)计算光学切片显微镜 (COSM)正在被接受为替代和补充 共焦扫描显微镜(CSM)与双光子荧光激发 显微镜(TPFEM)。COSM算法去除大视场中的离焦光 显微成像，还可以提高CSMS和TPFEMS的分辨率。这个 算法通常需要图像形成过程的知识 由点扩展函数(PSF)表示的点源的图像 灯。在现代扫描显微镜中，计算量的测量 PSF充其量也是困难的。在这些情况下，有必要估计PSF 和样品的荧光分布同时从图像；一个 这种方法称为盲解卷积(BD)。我们开发了一种盲人治疗方法 一种反卷积方法，其中PSF被约束为遵循一个数学模型 这取决于少量的未知参数。参数BD(PBD) 方法与样本函数一起确定这些参数。我们有 发现了令人鼓舞的结果，但PBD仍然是计算密集型的。 这项研究的目的是使这一方法在日常使用中切实可行 并将其应用范围扩展到CSMS和TOFEMS。该方法将得到优化 以及它的能力和局限性被彻底评估为能够提供 它的使用指南。此外，该方法将被合并到一个 我们团队开发的反卷积程序包。

DESCRIPTION: (From the Abstract) Computational optical sectioning microscopy (COSM) is gaining acceptance as an alternative as well as a complement to confocal scanning microscopes (CSM) and two-photo fluorescence excitation microscopes (TPFEM). COSM algorithms remove out-of-focus light from wide-field microscope images and can also improve the resolution in CSMs and TPFEMs. The algorithms require knowledge of the process of image formation usually represented by the point-spread function (PSF), the image of a point source of light. In modern scanning microscopes, the measurement of computation of the PSF is difficult at best. In these cases, it is necessary to estimate the PSF and the specimen fluorescence distribution simultaneously from the image; an approach called blind deconvolution (BD). We developed a method for blind deconvolution in which the PSF is constrained to follow a mathematical model that depends on a small number of unknown parameters. The parametric BD (PBD) method determines these parameters together with the specimen function. We have found encouraging results but the PBD is still computationally intensive. The purpose of this research is to9 make this method practical for routine use and to extend its application to CSMs and TOFEMS. The method will be optimized and its capabilities and limitations thoroughly assessed to be able to provide guidelines for its use. In addition, the method will be incorporated into a deconvolution package that our group developed.