{"id":3915,"date":"2021-05-13T16:11:07","date_gmt":"2021-05-13T16:11:07","guid":{"rendered":"https:\/\/er-c.org\/?page_id=3915"},"modified":"2025-01-15T10:58:17","modified_gmt":"2025-01-15T10:58:17","slug":"libertem","status":"publish","type":"page","link":"https:\/\/er-c.org\/index.php\/software\/stem-data-analysis\/libertem\/","title":{"rendered":"LiberTEM"},"content":{"rendered":"
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\n\t\t\t\t\t\tsoftware platform for scalable multidimensional data processing in transmission electron microscopy\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t<\/div>\n<\/div>\n\n\n
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LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets using a simplified MapReduce programming model<\/a><\/strong>. The current focus is pixelated<\/a><\/strong> scanning transmission electron microscopy (STEM<\/a><\/strong>) [MNR+16<\/a><\/strong>, Oph19<\/a><\/strong>]<\/span> and scanning electron beam diffraction data.<\/p>\n\n \n

It is designed for high throughput and scalability<\/a><\/strong> on PCs, single server nodes, clusters and cloud services. On clusters it can use fast distributed local storage on high-performance SSDs. That way it achieves very high aggregate IO performance<\/a><\/strong> on a compact and cost-efficient system built from stock components. All CPU cores and CUDA devices in a system can be used in parallel.<\/p>\n\n \n

LiberTEM is supported on Linux, Mac OS X and Windows. Other platforms that allow installation of Python 3.6+ and the required packages will likely work as well. The GUI is running in a web browser.<\/p>\n\n\n\n

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Clausen et al., (2020).<\/div>\n
LiberTEM: Software platform for scalable multidimensional data processing in transmission electron microscopy.<\/div>\n
Journal of Open Source Software, 5(50), 2006\n
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