A versatile phenotyping platform combining three-photon microscopy, optimized tissue clearing, and deep-learning signal separation for full-depth multi-organelle phenotyping.
- DOI
- 10.1016/j.xplc.2026.102080
- Published
- 2026-08-20
- Container
- Plant Commun
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.xplc.2026.102080,
title = {A versatile phenotyping platform combining three-photon microscopy, optimized tissue clearing, and deep-learning signal separation for full-depth multi-organelle phenotyping.},
author = {He M and Xu Y and Zhu M and Cao S and Chen P and Hong L.},
year = {2026},
journal = {Plant Commun},
doi = {10.1016/j.xplc.2026.102080},
url = {https://doi.org/10.1016/j.xplc.2026.102080}
}RIS
TY - JOUR TI - A versatile phenotyping platform combining three-photon microscopy, optimized tissue clearing, and deep-learning signal separation for full-depth multi-organelle phenotyping. AU - He M AU - Xu Y AU - Zhu M AU - Cao S AU - Chen P AU - Hong L. PY - 2026 JO - Plant Commun DO - 10.1016/j.xplc.2026.102080 UR - https://doi.org/10.1016/j.xplc.2026.102080 ER -
APA
M, H., Y, X., M, Z., S, C., P, C., & L., H. (2026). A versatile phenotyping platform combining three-photon microscopy, optimized tissue clearing, and deep-learning signal separation for full-depth multi-organelle phenotyping.. Plant Commun. https://doi.org/10.1016/j.xplc.2026.102080
Source records
- europe-pmc · retrieved 2026-09-27T02:45:33.133Z