Use of stereo vision and 24-bit false-color imagery to enhance visualization of multimodal confocal images
Use of stereo vision and 24-bit false-color imagery to enhance visualization of multimodal confocal images
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使用立体视觉和 24 位假色图像增强多模态共焦图像的可视化
DOI：
10.1117/12.205341
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
Irwin E. Sobel
中科院分区：
文献类型：
--
作者：
F. Beltrame;A. Diaspro;M. Fato;Ivan Martin;P. Ramoino;Irwin E. Sobel
共焦显微镜系统可以连接到3D数据导向设备，用于操作员通过3D对象空间的交互式导航。有时，这样的环境被称为“虚拟现实”或“增强现实”系统。我们认为光学共聚焦激光扫描显微镜图像，在荧光与各种激发和发射，并与时间-我们的研究的目的是共聚焦数据的定量空间分析，使用假色组成技术。从三个二维共聚焦荧光图像在同一切片位置在一个给定的生物标本，一个新的单一的图像表示的所有三个参数已产生的假彩色技术在HP 9000/735工作站，连接到共聚焦显微镜。使用每像素24位的分辨率显示三个参数的映射的颜色合成结果。操作者可以通过三个（R，G，B）混合滑块独立地改变假色合成中三个分量中的每一个的混合。此外，通过使用三个荧光成分图像中的像素数据，构建了包含这三个参数的浓度分布的3D空间。直方图已立体显示：它可以用于聚类的目的，从运营商，通过一个原始的阈值算法。
Confocal microscopy systems can be linked to 3D data oriented devices for the interactive navigation of the operator through a 3D object space. Sometimes, such environments are named `virtual reality' or `augmented reality' systems. We consider optical confocal laser scanning microscopy images, in fluorescence with various excitations and emissions, and versus time The aim of our study has been the quantitative spatial analysis of confocal data using the false-color composition technique. Starting from three 2D confocal fluorescent images at the same slice location in a given biological specimen, a new single image representation of all three parameters has been generated by the false-color technique on a HP 9000/735 workstation, connected to the confocal microscope. The color composite result of the mapping of the three parameters is displayed using a resolution of 24 bits per pixel. The operator may independently vary the mix of each of the three components in the false-color composite via three (R, G, B) mixing sliders. Furthermore, by using the pixel data in the three fluorescent component images, a 3D space containing the density distribution of these three parameters has been constructed. The histogram has been displayed in stereo: it can be used for clustering purposes from the operator, through an original thresholding algorithm.