Persistent topology for cryo‐EM data analysis

@article{Xia2015PersistentTF,
  title={Persistent topology for cryo‐EM data analysis},
  author={Kelin Xia and Guowei Wei},
  journal={International Journal for Numerical Methods in Biomedical Engineering},
  year={2015},
  volume={31},
  pages={n/a - n/a}
}
  • Kelin Xia, G. Wei
  • Published 7 December 2014
  • Biology
  • International Journal for Numerical Methods in Biomedical Engineering
In this work, we introduce persistent homology for the analysis of cryo‐electron microscopy (cryo‐EM) density maps. We identify the topological fingerprint or topological signature of noise, which is widespread in cryo‐EM data. For low signal‐to‐noise ratio (SNR) volumetric data, intrinsic topological features of biomolecular structures are indistinguishable from noise. To remove noise, we employ geometric flows that are found to preserve the intrinsic topological fingerprints of cryo‐EM… 
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