LEVER：用于增殖细胞分割、追踪和谱系分析的软件工具。
LEVER: software tools for segmentation, tracking and lineaging of proliferating cells.
作者信息
Winter Mark, Mankowski Walter, Wait Eric, Temple Sally, Cohen Andrew R
机构信息
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.
Neural Stem Cell Institute, Rensselaer, NY 12144, USA.
出版信息
Bioinformatics. 2016 Nov 15;32(22):3530-3531. doi: 10.1093/bioinformatics/btw406. Epub 2016 Jul 16.
Abstract
UNLABELLED
The analysis of time-lapse images showing cells dividing to produce clones of related cells is an important application in biological microscopy. Imaging at the temporal resolution required to establish accurate tracking for vertebrate stem or cancer cells often requires the use of transmitted light or phase-contrast microscopy. Processing these images requires automated segmentation, tracking and lineaging algorithms. There is also a need for any errors in the automated processing to be easily identified and quickly corrected. We have developed LEVER, an open source software tool that combines the automated image analysis for phase-contrast microscopy movies with an easy-to-use interface for validating the results and correcting any errors.
AVAILABILITY AND IMPLEMENTATION
LEVER is available free and open source, licensed under the GNU GPLv3. Details on obtaining and using LEVER are available at http://n2t.net/ark:/87918/d9rp4t CONTACT: acohen@coe.drexel.edu.
摘要
未标注
对显示细胞分裂以产生相关细胞克隆的延时图像进行分析是生物显微镜中的一项重要应用。要以建立对脊椎动物干细胞或癌细胞的精确追踪所需的时间分辨率进行成像，通常需要使用透射光或相差显微镜。处理这些图像需要自动分割、追踪和谱系分析算法。还需要能够轻松识别并快速纠正自动处理过程中的任何错误。我们开发了LEVER，这是一个开源软件工具，它将相差显微镜电影的自动图像分析与一个易于使用的界面相结合，用于验证结果并纠正任何错误。
可用性和实现方式
LEVER是免费的开源软件，遵循GNU GPLv3许可。有关获取和使用LEVER的详细信息，请访问http://n2t.net/ark:/87918/d9rp4t 联系方式：acohen@coe.drexel.edu
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