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Module for SWC neuron morphology file validation and correction enabled for high throughput batch processing.
PLOS ONE ( IF 3.7 ) Pub Date : 2020-01-23 , DOI: 10.1371/journal.pone.0228091
Damien M O'Halloran 1
Affiliation  

SWC files are a widely used format to store neuron morphologies, and are used to share digitally reconstructed neurons using NeuroMorpho.org as well as predict functional attributes using simulation environments such as NEURON. Here we set out to develop an easily accessible tool to validate and correct SWC formatted files with an emphasis on high throughput batch processing. SWC_BATCH_CHECK is a package that provides a suite of methods to parse and correct the syntactic structure of a directory of SWC files. This tool ensures that user specified structures such as the soma or basal dendrite are correctly connected while fixing morphological features. This tool will report on missing or invalid data values while also returning basic statistical features for each file. SWC_BATCH_CHECK was validated and tested using thousands of individual SWC files to benchmark runtime performance and efficacy in both reporting on and correcting disparate SWC file features. SWC_BATCH_CHECK is open source and freely available to all users without restriction with guidelines and requirements provided to ensure straightforward installation and execution.

中文翻译:

启用S​​WC神经元形态文件验证和校正模块,以实现高通量批处理。

SWC文件是一种广泛使用的格式,用于存储神经元形态,并用于使用NeuroMorpho.org共享数字重建的神经元,以及使用诸如NEURON的仿真环境预测功能属性。在这里,我们着手开发一种易于访问的工具来验证和纠正SWC格式的文件,并着重于高吞吐量批处理。SWC_BATCH_CHECK是一个软件包,提供了一组方法来解析和更正SWC文件目录的语法结构。该工具可确保在固定形态特征的同时正确连接用户指定的结构,例如躯体或基础树突。该工具将报告丢失或无效的数据值,同时还返回每个文件的基本统计功能。SWC_BATCH_CHECK已使用数千个单独的SWC文件进行了验证和测试,以在报告和更正不同的SWC文件功能方面基准化运行时性能和功效。SWC_BATCH_CHECK是开源的,所有用户均可免费使用,不受指导和要求的限制,以确保直接安装和执行。
更新日期:2020-01-24
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