Bridge the gap between science and education with virtual reality

Explore vast datasets effortlessly with syGlass – our cutting-edge virtual reality software that will redefine the way you explore volumetric images, whether they’re megabytes or terabytes in size. Load images from a wide range of file formats, efficiently interface with machine learning analytics, and share your findings through immersive experiences, cinematic videos, and high-resolution images for impactful publications.

syGlass is an unparalleled solution for science communication, offering unique capabilities that break down barriers between the cutting edge of scientific research and secondary education classrooms around the world.

Explore your 3D and 4D data in virtual reality with syGlass

syGlass visualizes your 3D datasets in their natural form: as interactive volumes viewed stereoscopically.

Stop exploring datasets image-by-image or on computer monitors and fully leverage your visual cortex to understand patterns and spatial relationships.

Microscopy produces massive datasets, view them without compromise

syGlass can handle massive datasets, making it perfect for lightsheet or volume electron microscopy. Our current record is a single 20TB image volume.

Have some big data? Challenge us with it!

Our customer stories

  • "..our minds are literally being blown right now! It's so intuitive. You were right, the videos don't do it justice... got to see it to believe it."

    Postdoctoral Fellow,

    University College of London

  • "We found new structures we overlooked during 2D-screen analysis."

    Senior Researcher,

    Institut de la Vision, Paris

  • "syGlass support has been nothing but amazing through this project."

    Microscopy Core Facility Manager,

    Monash University

  • “I just wanted to share this wonderful result we would not have realized without syGlass.”

    PhD Candidate,

    Jožef Stefan Institute

  • “Tracking the position of hundreds of cells per 3D+time series, from months of imaging, has been reduced from 1 week to 6 hours in syGlass.”

    PhD Candidate,

    Johns Hopkins University