Our journal encourages authors to make their research data available, accessible, discoverable and usable. We strive to give authors the opportunity to present their work in powerful new ways. To that end, we support a range of digital formats and objects that are commonly used in modern-day research. Aside from adding valuable context to an article, data visualizations improve the way articles are presented online, giving readers better insights and helping authors make more of an impact.

Data visualizations currently available:

  ·  Large images, image stacks, image series

With the HTML version of their article, authors can present image content via an interactive viewer or "virtual microscope" that allows the user to pan and zoom within an image and navigate across a stack or series of images. The user can bring up the viewer by clicking the link in the caption field of associated regular figures. This feature is useful for images that are both large in size and have a high level of detail, and as such do not come across very well when presented in the traditional way. It can also be used for the interactive display of stacks and series of such images.

Slide scanners, confocal microscopes or wide field cameras are some examples of devices creating images suitable for this viewer. High resolution images of a more average size are typically better presented as a regular image.

  ·  Data visualizations in development:

3D models that allow authors to visualize molecular models, crystallographic data, neuroimaging data, radiological data and universal 3D models.