Navigation

VR-assisted segmentation of tomography elaborated defects in self-assembled colloidal clusters

Cover figure on ACS Nano
wardsdesign.com

In a recent paper published in ACS Nano, researchers from particle technology and theory have worked together with our “tomo-boys” to decrypt the free energy landscape of colloidal clusters in sphere confinement, using the model system of polystyrene (PS) particles. This work sheds light to understand the magics of self-assembling systems. Beside the systematic theoretical investigations and predictions, one particular highlight of this study was the successful development and application of a virtual reality (VR)-assisted segmentation of electron tomography method to visualize the internal structure of more than 3000 self-assembled PS particles.

Congratulations to Junwei Wang and all colleagues for your beautiful work!

Well done, tomo boys!

The 3D rendering of over 3000 PS particles via VR-assisted segmentation of electron tomography datasets

 

Demonstration of VR-assisted feature tagging in a tomography dataset, during the open day of high-school students’ visit (photo@M.Wu).

 

For more details: