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Efficient Skeleton Editing in a VR Environment Facilitates Accurate Modeling of Highly Branched Mitochondria.

Published online by Cambridge University Press:  30 July 2020

Ryan Conrad
Affiliation:
National Cancer Institute, NIH & Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States
Thomas Ruth
Affiliation:
arivis AG, Rostock, Mecklenburg-Vorpommern, Germany
Falko Löffler
Affiliation:
arivis AG, Rostock, Mecklenburg-Vorpommern, Germany
Steffen Hadlak
Affiliation:
arivis AG, Rostock, Mecklenburg-Vorpommern, Germany
Sebastian Konrad
Affiliation:
arivis AG, Rostock, Mecklenburg-Vorpommern, Germany
Christian Götze
Affiliation:
arivis AG, Rostock, Mecklenburg-Vorpommern, Germany
Christopher Zugates
Affiliation:
arivis inc., Washington, District of Columbia, United States
Molly McQuilken
Affiliation:
arivis inc., Washington, District of Columbia, United States
Kedar Narayan
Affiliation:
National Cancer Institute, NIH & Frederick National Laboratory for Cancer Research, Frederick, Maryland, United States

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Copyright
Copyright © Microscopy Society of America 2020

References

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