Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington’s disease models
- DOI
- 10.1016/j.crmeth.2022.100297
- Published
- 2022-09
- Container
- Cell Reports Methods
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.crmeth.2022.100297,
title = {Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington’s disease models},
author = {Jakob J. Metzger and Carlota Pereda and Arjun Adhikari and Tomomi Haremaki and Szilvia Galgoczi and Eric D. Siggia and Ali H. Brivanlou and Fred Etoc},
year = {2022},
journal = {Cell Reports Methods},
doi = {10.1016/j.crmeth.2022.100297},
url = {https://doi.org/10.1016/j.crmeth.2022.100297}
}RIS
TY - JOUR TI - Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington’s disease models AU - Jakob J. Metzger AU - Carlota Pereda AU - Arjun Adhikari AU - Tomomi Haremaki AU - Szilvia Galgoczi AU - Eric D. Siggia AU - Ali H. Brivanlou AU - Fred Etoc PY - 2022 JO - Cell Reports Methods DO - 10.1016/j.crmeth.2022.100297 UR - https://doi.org/10.1016/j.crmeth.2022.100297 ER -
APA
Metzger, J. J., Pereda, C., Adhikari, A., Haremaki, T., Galgoczi, S., Siggia, E. D., Brivanlou, A. H., & Etoc, F. (2022). Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington’s disease models. Cell Reports Methods. https://doi.org/10.1016/j.crmeth.2022.100297
Source records
- crossref · retrieved 2026-09-27T04:44:15.032Z