Multi-view image fusion improves resolution in three-dimensional microscopy
Multi-view image fusion improves resolution in three-dimensional microscopy
复制标题
DOI：
10.1364/oe.15.008029
复制
发表时间：
2007-06-25
期刊：
影响因子：
3.8
通讯作者：
Stelzer, Ernst H. K.
中科院分区：
文献类型：
--
作者：
Swoger, Jim;Verveer, Peter;Stelzer, Ernst H. K.
提出了一种非盲的、平移不变的图像处理技术，该技术将多视图三维图像数据集融合成单个高质量的三维图像。这对提高透明样品图像的分辨率和各向同性，以及提高部分不透明样品图像质量的均匀性是有效的。这是证明与荧光样品，如果蝇和青鳉胚胎和花粉粒成像的选择性平面照明显微镜（SPIM）。该算法的应用SPIM数据产生高分辨率的器官结构和基因表达的图像，在某些情况下，在亚细胞水平，整个标本范围从几微米到一毫米的大小。(C)2007年美国光学学会
A non-blind, shift-invariant image processing technique that fuses multi-view three-dimensional image data sets into a single, high quality three-dimensional image is presented. It is effective for 1) improving the resolution and isotropy in images of transparent specimens, and 2) improving the uniformity of the image quality of partially opaque samples. This is demonstrated with fluorescent samples such as Drosophila melanogaster and Medaka embryos and pollen grains imaged by Selective Plane Illumination Microscopy (SPIM). The application of the algorithm to SPIM data yields high-resolution images of organ structure and gene expression, in some cases at a sub-cellular level, throughout specimens ranging from several microns up to a millimeter in size. (C) 2007 Optical Society of America