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Quantitative Bioimaging of Microglial Response to Brain-Targeted Treatment Using Deep Learning Based Morphometry

Published online by Cambridge University Press:  22 July 2022

David Joy
Affiliation:
Denali Therapeutics, South San Francisco, CA, USA
Dan Xia
Affiliation:
Denali Therapeutics, South San Francisco, CA, USA
Kathryn Monroe
Affiliation:
Denali Therapeutics, South San Francisco, CA, USA
Pascal Sanchez
Affiliation:
Denali Therapeutics, South San Francisco, CA, USA
Meredith Calvert*
Affiliation:
Denali Therapeutics, South San Francisco, CA, USA
*
*Corresponding author: calvert@denali.com

Abstract

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Type
Imaging, Microscopy, and Micro/Nano-Analysis of Pharmaceutical, Biopharmaceutical, and Medical Health Products - Research, Development, Analysis, Regulation, and Commercialization
Copyright
Copyright © Microscopy Society of America 2022

References

Deczkowska, , et al. , Nat. Neurosci. 21 (2018), 779-786. doi: 10.1038/s41593-018-0145-xCrossRefGoogle Scholar
Hammond, , et al. , Annu Rev Cell Dev Biol. 34 ( 2018), 523-544. doi: 10.1146/annurev-cellbio-100616-060509CrossRefGoogle Scholar
Keren-Shaul, , et al. , Cell 169 ( 2017), 1276-1290. doi: 10.1016/j.cell.2017.05.018CrossRefGoogle Scholar
Ulland and Colonna, Nat Rev Neurosci. 14 (2018), 667-675. doi: 10.1038/s41582-018-0072-1Google Scholar
Wang, , et al. , J Exp Med. 217 , e20200785 (2020), https://doi.org/10.1084/jem.20200785Google Scholar