VR-assisted segmentation of tomography elaborated defects in self-assembled colloidal clusters
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:
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Free Energy Landscape of Colloidal Clusters in Spherical Confinement
In: Acs Nano (2019)
ISSN: 1936-0851
DOI: 10.1021/acsnano.9b03039
BibTeX: Download