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Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy
Journal of Microscopy ( IF 1.5 ) Pub Date : 2018-04-26 , DOI: 10.1111/jmi.12700
J Delpiano 1 , L Pizarro 2 , C J Peddie 3 , M L Jones 3 , L D Griffin 2 , L M Collinson 3
Affiliation  

Integrated array tomography combines fluorescence and electron imaging of ultrathin sections in one microscope, and enables accurate high‐resolution correlation of fluorescent proteins to cell organelles and membranes. Large numbers of serial sections can be imaged sequentially to produce aligned volumes from both imaging modalities, thus producing enormous amounts of data that must be handled and processed using novel techniques. Here, we present a scheme for automated detection of fluorescent cells within thin resin sections, which could then be used to drive automated electron image acquisition from target regions via ‘smart tracking’. The aim of this work is to aid in optimization of the data acquisition process through automation, freeing the operator to work on other tasks and speeding up the process, while reducing data rates by only acquiring images from regions of interest. This new method is shown to be robust against noise and able to deal with regions of low fluorescence.

中文翻译:


自动检测树脂内荧光切片中的荧光细胞,用于集成光学和电子显微镜



集成阵列断层扫描将超薄切片的荧光和电子成像结合在一台显微镜中,并能够实现荧光蛋白与细胞器和细胞膜的精确高分辨率关联。可以连续对大量连续切片进行成像,以从两种成像方式产生对齐的体积,从而产生必须使用新技术处理和处理的大量数据。在这里,我们提出了一种自动检测薄树脂切片内荧光细胞的方案,然后可用于通过“智能跟踪”驱动从目标区域自动采集电子图像。这项工作的目的是通过自动化帮助优化数据采集过程,使操作员能够专注于其他任务并加快该过程,同时通过仅从感兴趣区域采集图像来降低数据速率。这种新方法被证明对噪声具有鲁棒性,并且能够处理低荧光区域。
更新日期:2018-04-26
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