Ong Kok Haur, De Jaydeep, Cheng Li, Ahmed Sohail, Yu Weimiao
Central Imaging Facility, Institute of Molecule and Cell Biology (IMCB), a*STAR, Singapore.
Imaging Informatics Division, Bioinformatics Institute (BII), a*STAR, Singapore.
Cytometry A. 2016 Aug;89(8):747-54. doi: 10.1002/cyto.a.22872. Epub 2016 May 27.
Microscopy is a fundamental technology driving new biological discoveries. Today microscopy allows a large number of images to be acquired using, for example, High Throughput Screening (HTS) and 4D imaging. It is essential to be able to interrogate these images and extract quantitative information in an automated fashion. In the context of neurobiology, it is important to automatically quantify the morphology of neurons in terms of neurite number, length, branching and complexity, etc. One major issue in quantification of neuronal morphology is the "crossover" problem where neurites cross and it is difficult to assign which neurite belongs to which cell body. In the present study, we provide a solution to the "crossover" problem, the software package NeuronCyto II. NeuronCyto II is an interactive and user-friendly software package for automatic neurite quantification. It has a well-designed graphical user interface (GUI) with only a few free parameters allowing users to optimize the software by themselves and extract relevant quantitative information routinely. Users are able to interact with the images and the numerical features through the Result Inspector. The processing of neurites without crossover was presented in our previous work. Our solution for the "crossover" problem is developed based on our recently published work with directed graph theory. Both methods are implemented in NeuronCyto II. The results show that our solution is able to significantly improve the reliability and accuracy of the neurons displaying "crossover." NeuronCyto II is freely available at the website: https://sites.google.com/site/neuroncyto/, which includes user support and where software upgrades will also be placed in the future. © 2016 The Authors. Cytometry Part A Published by Wiley Periodicals, Inc. on behalf of ISAC.
显微镜检查是推动新的生物学发现的一项基础技术。如今,借助例如高通量筛选(HTS)和4D成像等技术,显微镜检查能够采集大量图像。能够对这些图像进行分析并以自动化方式提取定量信息至关重要。在神经生物学领域,自动量化神经元的形态,包括神经突数量、长度、分支和复杂性等,具有重要意义。神经元形态量化中的一个主要问题是“交叉”问题,即神经突相互交叉,难以确定哪条神经突属于哪个细胞体。在本研究中,我们提供了一个针对“交叉”问题的解决方案——软件包NeuronCyto II。NeuronCyto II是一个用于自动神经突量化的交互式且用户友好的软件包。它拥有精心设计的图形用户界面(GUI),仅有几个自由参数,允许用户自行优化软件并常规提取相关定量信息。用户能够通过结果检查器与图像和数值特征进行交互。我们之前的工作展示了无交叉神经突的处理方法。我们针对“交叉”问题的解决方案是基于我们最近发表的关于有向图理论的工作开发的。这两种方法都在NeuronCyto II中实现。结果表明,我们的解决方案能够显著提高显示“交叉”的神经元的可靠性和准确性。NeuronCyto II可在网站https://sites.google.com/site/neuroncyto/免费获取,该网站提供用户支持,并且未来软件升级也将发布于此。© 2016作者。《细胞分选A》由威利期刊公司代表国际分析细胞学会出版。