斑马鱼
神经血管束
荧光显微镜
薄层荧光显微镜
显微镜
分割
计算机视觉
工作流程
计算机科学
光学(聚焦)
图像分割
高分辨率
病理
人工智能
解剖
荧光
生物
医学
光学
地质学
遥感
生物化学
物理
数据库
基因
扫描共焦电子显微镜
作者
Elisabeth Kugler,Timothy J. A. Chico,Paul A. Armitage
出处
期刊:Communications in computer and information science
日期:2018-01-01
卷期号:: 343-353
被引量:8
标识
DOI:10.1007/978-3-319-95921-4_32
摘要
The zebrafish has become an established model to study vascular development and disease in vivo. However, despite it now being possible to acquire high-resolution data with state-of-the-art fluorescence microscopy, such as lightsheet microscopy, most data interpretation in pre-clinical neurovascular research relies on visual subjective judgement, rather than objective quantification. Therefore, we describe the development of an image analysis workflow towards the quantification and description of zebrafish neurovascular development. In this paper we focus on data acquisition by lightsheet fluorescence microscopy, data properties, image pre-processing, and vasculature segmentation, and propose future work to derive quantifications of zebrafish neurovasculature development.
科研通智能强力驱动
Strongly Powered by AbleSci AI