Eye Science recognizes the crucial role of data visualization in modern scientific communication and encourages authors to leverage various visualization tools to enhance the expressiveness and clarity of their research. We support a range of data visualization formats and objects to improve the accessibility, discoverability, and usability of research data.

Currently Supported Data Visualization Tools:

 · Large images, image stacks, image series

We offer an interactive viewer or "virtual microscope" feature that allows readers to pan, zoom, and browse images within the HTML version of the article. This is especially useful for large, high-detail images, which may not be adequately displayed using traditional methods. The feature also supports the interactive display of image stacks and series. This tool is ideal for images captured by devices such as slide scanners, confocal microscopes, or wide-field cameras. For medium-sized images, conventional image formats may still be preferable.

Data Visualization Tools in Development:

 · 3D models: A platform is being developed to allow authors to present molecular models, crystallographic data, neuroimaging data, radiological data, and other common 3D models. This tool will offer readers a novel perspective to intuitively grasp complex scientific data in three dimensions.

We encourage authors to consider how best to utilize these tools when preparing their manuscripts, as doing so will enable them to present their research more effectively and attract a broader readership by enhancing the visual quality of their articles. Data visualization not only increases the appeal of a paper but also helps readers gain a deeper understanding of the research, ultimately boosting its impact.

All visual content must adhere to relevant technical and ethical standards to ensure the accuracy and appropriate representation of the data. We look forward to authors actively engaging in the advancement of scientific research through these tools.