BioCell2XML: a novel tool for converting cell lineage data from SIMI BioCell to MaMuT (Fiji).

IF 0.8 3区 生物学 Q4 CELL BIOLOGY
Development Genes and Evolution Pub Date : 2019-07-01 Epub Date: 2019-05-22 DOI:10.1007/s00427-019-00633-9
Markus Pennerstorfer, Günther Loose, Carsten Wolff
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引用次数: 0

Abstract

Computer-assisted 4D manual cell tracking has been a valuable method for understanding spatial-temporal dynamics of embryogenesis (e.g., Stach & Anselmi BMC Biol, 13(113), 1-11 2015; Vellutini et al. BMC Biol, 15(33), 1-28 2017; Wolff et al. eLife, 7, e34410 2018) since the method was introduced in the late 1990s. Since two decades SIMI® BioCell (Schnabel et al. Dev Biol, 184, 234-265 1997), a software which initially was developed for analyzing data coming from the, at that time new technique of 4D microscopy, is in use. Many laboratories around the world use SIMI BioCell for the manual tracing of cells in embryonic development of various species to reconstruct cell genealogies with high precision. However, the software has several disadvantages: limits in handling very large data sets, the virtually no maintenance over the last 10 years (bound to older Windows versions), the difficulty to access the created cell lineage data for analyses outside SIMI BioCell, and the high cost of the program. Recently, bioinformatics, in close collaboration with biologists, developed new lineaging tools that are freely available through the open source image processing platform Fiji. Here we introduce a software tool that allows conversion of SIMI BioCell lineage data to a format that is compatible with the Fiji plugin MaMuT (Wolff et al. eLife, 7, e34410 2018). Hereby we intend to maintain the usability of SIMI BioCell created cell lineage data for the future and, for investigators who wish to do so, facilitate the transition from this software to a more convenient program.

BioCell2XML:一个将细胞谱系数据从SIMI BioCell转换为MaMuT(斐济)的新工具。
计算机辅助的4D人工细胞跟踪已经成为了解胚胎发生时空动态的一种有价值的方法(例如,Stach & Anselmi BMC Biol, 13(113), 1-11 2015;Vellutini等人。中国生物医学工程学报,2015 (5):391 - 391;Wolff等人(eLife, 7, e34410 2018)自该方法于20世纪90年代末引入以来。二十年来,SIMI®BioCell (Schnabel et al。Dev Biol, 184,234 -265 1997),一种最初用于分析当时新技术4D显微镜数据的软件正在使用中。世界上许多实验室使用SIMI BioCell对不同物种胚胎发育过程中的细胞进行人工追踪,以高精度重建细胞谱系。然而,该软件有几个缺点:在处理非常大的数据集方面的限制,在过去的10年里几乎没有维护(绑定到旧的Windows版本),在SIMI BioCell之外访问创建的细胞谱系数据进行分析的困难,以及程序的高成本。最近,生物信息学与生物学家密切合作,开发了新的谱系分析工具,可通过开源图像处理平台Fiji免费获得。在这里,我们介绍了一个软件工具,允许将SIMI BioCell谱系数据转换为与斐济插件MaMuT兼容的格式(Wolff等人,eLife, 7, e34410 2018)。因此,我们打算为未来保持SIMI BioCell创建的细胞谱系数据的可用性,并为希望这样做的研究人员提供从该软件过渡到更方便的程序的便利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Development Genes and Evolution
Development Genes and Evolution 生物-发育生物学
CiteScore
4.30
自引率
0.00%
发文量
13
审稿时长
>12 weeks
期刊介绍: Development Genes and Evolution publishes high-quality reports on all aspects of development biology and evolutionary biology. The journal reports on experimental and bioinformatics work at the systemic, cellular and molecular levels in the field of animal and plant systems, covering key aspects of the following topics: Embryological and genetic analysis of model and non-model organisms Genes and pattern formation in invertebrates, vertebrates and plants Axial patterning, embryonic induction and fate maps Cellular mechanisms of morphogenesis and organogenesis Stem cells and regeneration Functional genomics of developmental processes Developmental diversity and evolution Evolution of developmentally relevant genes Phylogeny of animals and plants Microevolution Paleontology.
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