FAQs

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What types of files can I augment my content with?

We aim to support a wide variety of formats, but we are just getting started.

Currently, we support video, 3D models, image stacks and volumetric data. We began with these because many types of data can be exported or easily converted to one of these three types of files.

Click here for specific information about each supported file type.



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What makes a good Schol-AR image?

Some images are much harder to detect with cameras than others. This makes some images difficult for your augmented content to properly lock onto.

All Schol-AR images receive a tracking score when uploaded to give you a rough idea of how ideal it is for augmentation.

Click here for information on what you can do to improve your image's tracking score.



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How does the PDF Reader work?

All augmentations automatically work in our PDF reader as long as the Schol-AR QR code and target image(s) are inside the PDF. The reader will automatically detect where in the PDF the images are, which can take a little bit of time the first time the PDF is opened, but afterwards will load quicker.

We also can create direct links (Ex: www.Schol-AR.io/publications/{YourPublicationHere}) to your project which will open the PDF and the augmentations in a single click.



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How do I Cite Schol-AR?

If you use Schol-AR, please cite:

Ard, T., Bienkowski, M.S., Liew, SL. et al. Integrating Data Directly into Publications with Augmented Reality and Web-Based Technologies – Schol-AR. Sci Data 9, 298 (2022). https://doi.org/10.1038/s41597-022-01426-y


Updates

Contact: Schol-AR@ardist.io