Correlative Microscopy: Workflows and Applications in Materials Science

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Guest Editor
Department of Basic and Applied Sciences, Sapienza University of Rome, Via A. Scarpa 16, 00161 Rome, Italy
Interests: electron microscopy; nanomaterials; cultural heritage; nanotechnology
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Special Issue Information

Dear Colleagues,

Almost 40 years have passed since the first paper was published by M. Osborn, R.E. Webster and K. Weber describing the possibility of combining light and electron microscopy to observe the same region of interest. Later, this particular approach to microscopy became known as correlative microscopy, and the combination of these two techniques is called CLEM—Correlative Light to Electron Microscopy. For a long time, this technique was strictly limited to the life sciences, but the need for specific and different information from a particular region of interest has extended this approach to materials science, including other characterization techniques such as RAMAN, AFM or XRM. However, what is really important for the development of a functional and fast correlative technique is not only the application but also the so-called workflow, that is, all the steps needed to combine the analysis for different instruments, from the construction of specific sample holders up to the data analysis.

We are pleased to invite you to contribute to this Special Issue which aims to explore all aspects relating to the implementation of a correlative microscopy technique in materials science, from its application to the creation of an innovative workflow.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  1. Application of different combinations of correlative microscopy in material science.
  2. Development of innovative workflows for fast and accurate correlative microscopy.
  3. Methods of data analysis for correlative microscopy, including the employment of AI systems.

We look forward to receiving your contributions.

You may choose our Joint Special Issue in Applied Sciences.

Dr. Francesco Mura
Prof. Dr. Marco Rossi
Dr. Daniele Passeri
Guest Editors

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Keywords

  • correlative microscopy
  • CLEM
  • CPEM
  • data analysis

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Published Papers

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