Wang Dadong, Lagerstrom Ryan, Sun Changming, Bishof Leanne, Valotton Pascal, Götte Marjo
Biotech Imaging, CSIRO Mathematics, Informatics and Statistics, North Ryde, NSW, Australia.
J Biomol Screen. 2010 Oct;15(9):1165-70. doi: 10.1177/1087057110382894. Epub 2010 Sep 20.
Automating the analysis of neurons in culture represents a key aspect of the search for neuroactive compounds. A number of commercial neurite analysis software packages tend to measure some basic features such as total neurite length and number of branching points. However, with only these measurements, some differences between neurite morphologies that are clear to a human observer cannot be identified. The authors have developed a suite of image analysis tools that will allow researchers to produce quality analyses at primary screening rates. The suite provides sensitive and information-rich measurements of neurons and neurites. It can discriminate subtle changes in complex neurite arborization even when neurons and neurites are dense. This allows users to selectively screen for compounds triggering different types of neurite outgrowth behavior. In mixed cell populations, neurons can be filtered and separated from other brain cell types so that neurite analysis can be performed only on neurons. It supports batch processing with a built-in database to store the batch-processing results, a batch result viewer, and an ad hoc query builder for users to retrieve features of interest. The suite of tools has been deployed into a software package called HCA-Vision. The free version of the software package is available at http://www.hca-vision.com.
实现培养神经元分析的自动化是寻找神经活性化合物的一个关键方面。许多商业神经突分析软件包倾向于测量一些基本特征,如神经突总长度和分支点数。然而,仅通过这些测量,人类观察者能明显看出的神经突形态之间的一些差异却无法被识别出来。作者开发了一套图像分析工具,能让研究人员以初筛速度进行高质量分析。该套件能对神经元和神经突进行灵敏且信息丰富的测量。即使在神经元和神经突密集的情况下,它也能辨别复杂神经突分支的细微变化。这使得用户能够选择性地筛选出触发不同类型神经突生长行为的化合物。在混合细胞群体中,神经元可以被过滤并与其他脑细胞类型分离,从而仅对神经元进行神经突分析。它支持批量处理,带有一个用于存储批量处理结果的内置数据库、一个批量结果查看器以及一个供用户检索感兴趣特征的临时查询构建器。这套工具已被集成到一个名为HCA-Vision的软件包中。该软件包的免费版本可在http://www.hca-vision.com获取。