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Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates

机译:用于高通量的应变库成像协议,在多孔板上排列大细菌收集的自动单细胞显微镜

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摘要

Single-cell microscopy is a powerful tool for studying gene functions using strain libraries, but it suffers from throughput limitations. Here we describe the Strain Library Imaging Protocol ( SLIP), which is a high-throughput, automated microscopy workflow for large strain collections that requires minimal user involvement. SLIP involves transferring arrayed bacterial cultures from multiwell plates onto large agar pads using inexpensive replicator pins and automatically imaging the resulting single cells. The acquired images are subsequently reviewed and analyzed by custom MATLAB scripts that segment single-cell contours and extract quantitative metrics. SLIP yields rich data sets on cell morphology and gene expression that illustrate the function of certain genes and the connections among strains in a library. For a library arrayed on 96-well plates, image acquisition can be completed within 4 min per plate.
机译:单细胞显微镜是使用应变库研究基因功能的强大工具,但它受到吞吐量限制。 在这里,我们描述了应变库成像协议(SLIP),这是一个高吞吐量,用于大型应变集合的高吞吐量,需要最小的用户参与。 滑动涉及使用廉价的复制器销将来自多孔板的阵列细菌培养物转移到大的琼脂垫上,并自动成像得到的单个细胞。 随后通过自定义MATLAB脚本进行审查和分析所获取的图像,该脚本分段为单个小区轮廓并提取定量度量。 滑移产生富含细胞形态和基因表达的数据集,说明了某些基因的功能和文库中菌株之间的连接。 对于排列在96孔板上的图书馆,图像采集可以在每平4分钟内完成。

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