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Can I read Big Data in Contemporary Electron Microscopy: Challenges and Opportunities in Data Transfer, Compute and Management on EtoBox?

Big Data in Contemporary Electron Microscopy: Challenges and Opportunities in Data Transfer, Compute and Management by David Poger; Lisa Yen; Filip Braet is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Big Data in Contemporary Electron Microscopy: Challenges and Opportunities in Data Transfer, Compute and Management about?

The second decade of the twenty-first century witnessed a new challenge in the handling of microscopy data. Big data, data deluge, large data, data compliance, data analytics, data integrity, data interoperability, data retention and data lifecycle are terms that have introduced themselves to the electron microscopy sciences. This is largely attributed to the booming development of new microscopy hardware tools. As a result, large digital image files with an average size of one terabyte within one single acquisition session is not uncommon nowadays, especially in the field of cryogenic electron microscopy. This brings along numerous challenges in data transfer, compute and management. In this review, we will discuss in detail the current state of international knowledge on big data in contemporary electron microscopy and how big data can be transferred, computed and managed efficiently and sustainably. Workflows, solutions, approaches and suggestions will be provided, with the example of the latest experiences in Australia. Finally, important principles such as data integrity, data lifetime and the FAIR and CARE principles will be considered.

Who reads Big Data in Contemporary Electron Microscopy: Challenges and Opportunities in Data Transfer, Compute and Management?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
David Poger; Lisa Yen; Filip Braet
Publisher
Springer Science and Business Media LLC
Published
2023
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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