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“Development of computational methods for neurobiological research“

机译:“神经生物学研究计算方法的发展”

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Neurobiologists are interested in understanding how neurons form complex synaptic circuits during development and how these processes are perturbed in neuropathies. It has been well established that neuronal migration and maturation during development play a critical role in how neurons ultimately function. To better understand these two key features of mammalian neurogenesis, neurobiology researchers at institutions like St. Jude Children's Research Hospital have developed state-of-the-art methods for imaging developing neurons in vivo. However, the development of computational methods and tools to extract pertinent information from the large and complex 3D and 4D image data sets has not kept pace with the imaging technologies. As a result, many key neurobiological questions cannot be answered for lack of appropriate analysis algorithms. ORNL researchers within the Image Science and Machine Vision group are working with St. Jude to develop a set of analysis tools that allow researchers to discover relationships between the anatomical and migratory characteristics of neurons and their ultimate ability to function within a large network. Our focus is on analyzing neuronal morphology and migration in the retina and cerebellum during early development of murine models, but the basic methods will be translatable to all classes of neurons across species. As such, the developed methods will serve as a foundation upon which a comprehensive suite of tools can be developed that have the potential to revolutionize the field of neuronal cell analysis and characterization. The biological questions that these tools will address strike at the foundation of many neurological disorders including Alzheimer's, Parkinson's, schizophrenia, epilepsy, cancer of the central nervous system, retinal disorders and autism.
机译:神经生物学家对了解神经元在发育过程中如何形成复杂的突触回路以及这些过程如何在神经病变中受到干扰感兴趣。众所周知,发育过程中神经元的迁移和成熟在神经元的最终功能中起着至关重要的作用。为了更好地理解哺乳动物神经发生的这两个关键特征,圣裘德儿童研究医院等机构的神经生物学研究人员已经开发出了用于对体内发育中的神经元成像的最新方法。但是,用于从大型且复杂的3D和4D图像数据集中提取相关信息的计算方法和工具的开发并未跟上成像技术的步伐。结果,由于缺乏适当的分析算法,许多关键的神经生物学问题无法得到解答。图像科学和机器视觉小组的ORNL研究人员正在与圣裘德合作,开发一套分析工具,使研究人员能够发现神经元的解剖和迁徙特征与其在大型网络中发挥最终功能之间的关系。我们的重点是在鼠模型的早期发育过程中分析视网膜和小脑的神经元形态和迁移,但是基本方法将可应用于跨物种的所有类别的神经元。因此,已开发的方法将作为基础,可以开发出一套全面的工具,从而有可能彻底改变神经元细胞分析和表征领域。这些工具将解决的生物学问题是许多神经系统疾病的根源,包括阿尔茨海默氏症,帕金森氏症,精神分裂症,癫痫症,中枢神经系统癌症,视网膜疾病和自闭症。

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