This compressed folder contains datasets corresponding to figures presented in our paper, formatted for direct use with the ParaView plugin. We sincerely thank the contributors of the following datasets:
Klein et al. (2020), this data details the structure of SARS-CoV-2 and its host cells, showcasing the segmented membranes with notable thickness. The high-quality, reliable data serves as a foundation for our initial experiments.
Klein, S., Cortese, M., Winter, S. L., Wachsmuth-Melm, M., Neufeldt, C. J., Cerikan, B., Stanifer, M. L., Boulant, S., Bartenschlager, R., & Chlanda, P. (2020). SARS-CoV-2 structure and replication characterized by in situ cryo-electron tomography. Nature Communications, 11(1), 5885. DOI: 10.1038/s41467-020-19619-7
Barad et al. (2023), this dataset provides segmentation volumes highlighting the mitochondrial structure, including distinct labels for the inner (IMM) and outer (OMM) mitochondrial membranes. This complex dataset offers a real-world application scenario for our algorithm.
Barad, B. A., Medina, M., Fuentes, D., Wiseman, R. L., & Grotjahn, D. A. (2023). Quantifying organellar ultrastructure in cryo-electron tomography using a surface morphometrics pipeline. The Journal of Cell Biology, 222. DOI: 10.1083/jcb.202204093