Look at published datasets with your class

Have a look at various publications online and navigate quickly through amazing datasets. Zoom in and out to observe the neurons' nuclei, dendrites, axons, identify synapses, etc. Discuss the images you see with your students and use them to support your neurobiological teaching. 

Through WEBKNOSSOS, you can have access to electron microscopy images, X-ray tomographies (CT), fluorescence microscopy images, and MRI.
Look at a published dataset now.

Example: EM data from Motta et al. 2019, segmentation by scalable minds

Let your students gain practical annotation experience and support you in your research

Make your students dive into the practical world and show them how to annotate neural cells. Each of the students can create a free account and start analysing. If you upload your own dataset, they can support you with your research!
Your class will quickly become familiar with the different ways to annotate experimental data as they create skeletons or build a dense segmentation, thanks to WEBKNOSSOS' annotation features. This way, your students will understand the challenges and scope of such an analysis and will be able to experiment as much as they want.

Example: Annotations and EM data from Schmidt et al. 2017

Everything simply online!

WEBKNOSSOS is to be used completely online. Neither your students nor you will have to install anything. Just send a link to your class and they can start working right away!
Moreover, WEBKNOSSOS' storage and streaming technology provides fast browsing speeds to any computer or laptop. Your students won't need any specific hardware requirements to enjoy working with such neural data.

Example: EM data from Motta et al. 2019, segmentation by scalable minds

Support for many modalities

WEBKNOSSOS works with all sorts of 2D and 3D image modalities including multi-channel data.

Examples (from left): Fluorescence microscopy from Drawitsch et al. 2018, Synchrotron X-Ray Tomography from Kuan et al. 2020 and MRI from Lüsebrink et al. 2017