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Groningen Reduction of Image Data:A Microbiological Image Processing System with Applications in Immunofluorescence and Morphometry

机译:格罗宁根减少图像数据:微生物图像处理系统及其在免疫荧光和形态计量学中的应用

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摘要

The interaction between the intestinal flora and the immune system is complex, and as yet little understood. The Groningen Reduction of Image Data (GRID) image processing system is a relatively new tool in the investigation of this interaction. The image processing approach allows measurement of morphological and immunological characteristics of faecal bacteria, which have not been cultured, and should therefore represent the flora in the intestinal lumen well. In this review, the main application programs of GRID in the field of bacterial morphology and (immuno-)fluorescence detection are presented. Its low cost hardware set-up, based on ordinary personal computers is described. Examples of the research done and data acquired with the system are given. Future plans include multi-colour fluorescence measurement. The system allows rapid quantification of morphology and immunofluorescence, and can combine both types of data in "fluoromorphometry": quantifying patterns of fluorescence as a function of shape. These patterns could lead to new insights into the interaction between intestinal flora and immune system, though the interpretation is as yet not simple.
机译:肠道菌群与免疫系统之间的相互作用是复杂的,目前尚不清楚。格罗宁根图像数据缩减(GRID)图像处理系统是研究这种相互作用的一种相对较新的工具。图像处理方法可以测量尚未培养的粪便细菌的形态和免疫学特征,因此应很好地代表肠道内腔的菌群。本文综述了GRID在细菌形态学和(免疫)荧光检测领域的主要应用程序。描述了其基于普通个人计算机的低成本硬件设置。给出了使用该系统进行的研究和获取的数据的示例。未来的计划包括多色荧光测量。该系统可以对形态学和免疫荧光进行快速定量,并且可以在“荧光形态”中结合两种类型的数据:根据形状对荧光模式进行定量。这些解释可能会导致对肠道菌群与免疫系统之间相互作用的新见解,尽管解释尚不简单。

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