Summary

We have developed a software tool to improve the image quality in FIB-SEM stacks: PolishEM. Based on a Gaussian-blur model, it automatically estimates and compensates for the blur affecting each individual image. It also includes correction for artefacts commonly arising in FIB-SEM (e.g. curtaining). PolishEM has been optimized for an efficient processing of huge FIB-SEM stacks on standard computers.

Availability and implementation

polishEM has been developed in C. GPL source code and binaries for Linux, OSX and Windows are available at http://www.cnb.csic.es/%7ejjfernandez/polishem.

Supplementary information

Supplementary data are available at Bioinformatics online.

中文翻译：

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PolishEM：FIB-SEM中的图像增强。

概要

我们开发了一种软件工具来改善FIB-SEM堆栈中的图像质量：PolishEM。基于高斯模糊模型，它会自动估计并补偿影响每个单独图像的模糊。它还包括对通常在FIB-SEM中出现的伪影的校正（例如，幕布处理）。PolishEM已针对在标准计算机上高效处理巨大的FIB-SEM堆栈进行了优化。

可用性和实施

PolishEM已用C语言开发。可从http://www.cnb.csic.es/%7ejjfernandez/polishem获得GPL源代码以及用于Linux，OSX和Windows的二进制文件。

补充资料

补充数据可从生物信息学在线获得。