Andrii Iudin

TL;DR: EM community needs, and PDBe has developed EMPIAR, which is designed to handle data sets with sizes in the terabyte range, to support related imaging modalities including 3D scanning electron microscopy, soft X-ray tomography and CLEM.

TL;DR: A PDBe RESTful API has been developed to provide unified access to macromolecular structure data available in the PDB and EMDB archives as well as value-added annotations, e.g. regarding structure quality and up-to-date cross-reference information from the SIFTS resource.

TL;DR: A workshop that discussed how to integrate structural data from a range of public archives identified two main priorities: the development of tools and file formats to support segmentation (that is, the decomposition of a three-dimensional volume into regions that can be associated with defined objects), and theDevelopment of tools to support the annotation of biological structures.

TL;DR: In this paper, the authors propose metadata guidelines to address the needs of diverse communities within light and electron microscopy within microscopy, and the proposed Recommended Metadata for Biological Images (REMBI) will stimulate discussions about their implementation and future extension.

TL;DR: EMPIAR (empiar.org) was developed as a public archive for raw cryo-EM image data and for 3D reconstructions from vEM and XT experiments and now comprises over a thousand entries totalling over 2 petabytes of data.