Evan Seitz

This repository contains code to apply the ESPER method to quasi-continuum models of biomolecules exhibiting multiple degrees of freedom, as described in Seitz et al. (2022, IEEE TCI). As inputs into ESPER, detailed instructions are also provided for generating custom synthetic datasets with increasing complexity to mirror known cryo-EM image attributes.

DOI Link: 
10.21227/wmn8-k054
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Dataset Files

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[1] Evan Seitz, "ManifoldEM: ESPER Data and Code Repository", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/wmn8-k054. Accessed: Apr. 22, 2025.
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doi = {10.21227/wmn8-k054},
url = {http://dx.doi.org/10.21227/wmn8-k054},
author = {Evan Seitz },
publisher = {IEEE Dataport},
title = {ManifoldEM: ESPER Data and Code Repository},
year = {2022} }
TY - DATA
T1 - ManifoldEM: ESPER Data and Code Repository
AU - Evan Seitz
PY - 2022
PB - IEEE Dataport
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Evan Seitz. (2022). ManifoldEM: ESPER Data and Code Repository. IEEE Dataport. http://dx.doi.org/10.21227/wmn8-k054
Evan Seitz, 2022. ManifoldEM: ESPER Data and Code Repository. Available at: http://dx.doi.org/10.21227/wmn8-k054.
Evan Seitz. (2022). "ManifoldEM: ESPER Data and Code Repository." Web.
1. Evan Seitz. ManifoldEM: ESPER Data and Code Repository [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/wmn8-k054
Evan Seitz. "ManifoldEM: ESPER Data and Code Repository." doi: 10.21227/wmn8-k054