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交互式和自动化的虚拟显微镜应用。

Interactive and automated application of virtual microscopy.

机构信息

UICC-TPCC, Charite, Berlin, Germany.

出版信息

Diagn Pathol. 2011 Mar 30;6 Suppl 1(Suppl 1):S10. doi: 10.1186/1746-1596-6-S1-S10.

Abstract

Virtual microscopy can be applied in an interactive and an automated manner. Interactive application is performed in close association to conventional microscopy. It includes image standardization suitable to the performance of an individual pathologist such as image colorization, white color balance, or individual adjusted brightness. The steering commands have to include selection of wanted magnification, easy navigation, notification, and simple measurements (distances, areas). The display of the histological image should be adjusted to the physical limits of the human eye, which are determined by a view angle of approximately 35 seconds. A more sophisticated performance should include acoustic commands that replace the corresponding visual commands. Automated virtual microscopy includes so-called microscopy assistants which can be defined similar to the developed assistants in computer based editing systems (Microsoft Word, etc.). These include an automated image standardization and correction algorithms that excludes images of poor quality (for example uni-colored or out-of-focus images), an automated selection of the most appropriate field of view, an automated selection of the best magnification, and finally proposals of the most probable diagnosis. A quality control of the final diagnosis, and feedback to the laboratory determine the proposed system. The already developed tools of such a system are described in detail, as well as the results of first trials. In order to enhance the speed of such a system, and to allow further user-independent development a distributed implementation probably based upon Grid technology seems to be appropriate. The advantages of such a system as well as the present pathology environment and its expectations will be discussed in detail.

摘要

虚拟显微镜可以以交互和自动化的方式应用。交互应用与传统显微镜密切相关。它包括适合个别病理学家性能的图像标准化,例如图像着色、白色白平衡或个体调整亮度。转向命令必须包括选择所需的放大倍数、轻松导航、通知和简单测量(距离、面积)。组织学图像的显示应根据人眼的物理限制进行调整,人眼的视角约为 35 秒。更复杂的性能应包括替代相应视觉命令的声学命令。自动化虚拟显微镜包括所谓的显微镜助手,这些助手可以与基于计算机的编辑系统(Microsoft Word 等)中开发的助手类似进行定义。这些助手包括自动图像标准化和校正算法,可排除质量差的图像(例如单色调或失焦的图像),自动选择最合适的视野,自动选择最佳放大倍数,最后提出最可能的诊断。最终诊断的质量控制和对实验室的反馈决定了所提议的系统。已经详细描述了该系统的已开发工具以及首次试用的结果。为了提高该系统的速度,并允许进一步独立于用户的开发,基于网格技术的分布式实现可能是合适的。将详细讨论此类系统的优势以及当前的病理学环境及其期望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c3a/3073203/6532cc2feaf0/1746-1596-6-S1-S10-1.jpg

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