Institute of Informatics, Silesian University of Technology, Gliwice, Poland.
Laboratory of Neuromorphology, Pavlov Institute of Physiology RAS, St. Petersburg, Russia.
Neuroinformatics. 2017 Oct;15(4):365-382. doi: 10.1007/s12021-017-9340-2.
CAS (Cell Annotation Software) is a novel tool for analysis of microscopic images and selection of the cell soma or nucleus, depending on the research objectives in medicine, biology, bioinformatics, etc. It replaces time-consuming and tiresome manual analysis of single images not only with automatic methods for object segmentation based on the Statistical Dominance Algorithm, but also semi-automatic tools for object selection within a marked region of interest. For each image, a broad set of object parameters is computed, including shape features and optical and topographic characteristics, thus giving additional insight into data. Our solution for cell detection and analysis has been verified by microscopic data and its application in the annotation of the lateral geniculate nucleus has been examined in a case study.
CAS(细胞注释软件)是一种用于分析显微镜图像的新工具,可根据医学、生物学、生物信息学等领域的研究目标选择细胞体或细胞核。它不仅使用基于统计优势算法的自动对象分割方法替代了耗时且繁琐的单个图像手动分析,还提供了用于在标记的感兴趣区域内选择对象的半自动工具。对于每个图像,都会计算一组广泛的对象参数,包括形状特征以及光学和地形特征,从而深入了解数据。我们的细胞检测和分析解决方案已经通过显微镜数据进行了验证,并在案例研究中检查了其在外侧膝状体注释中的应用。