A hybrid neural network and sparse recovery framework for resolving multi-cell coincidence in label-free impedance cytometry
- DOI
- 10.1039/d6ay01731b
- Published
- 2026
- Container
- Analytical Methods
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay01731b,
title = {A hybrid neural network and sparse recovery framework for resolving multi-cell coincidence in label-free impedance cytometry},
author = {Yinhui Jiao and Yucheng Xia and Yifan Shi and Guojun Jiang and Zhen Gu and Huifeng Wang},
year = {2026},
journal = {Analytical Methods},
doi = {10.1039/d6ay01731b},
url = {https://doi.org/10.1039/d6ay01731b}
}RIS
TY - JOUR TI - A hybrid neural network and sparse recovery framework for resolving multi-cell coincidence in label-free impedance cytometry AU - Yinhui Jiao AU - Yucheng Xia AU - Yifan Shi AU - Guojun Jiang AU - Zhen Gu AU - Huifeng Wang PY - 2026 JO - Analytical Methods DO - 10.1039/d6ay01731b UR - https://doi.org/10.1039/d6ay01731b ER -
APA
Jiao, Y., Xia, Y., Shi, Y., Jiang, G., Gu, Z., & Wang, H. (2026). A hybrid neural network and sparse recovery framework for resolving multi-cell coincidence in label-free impedance cytometry. Analytical Methods. https://doi.org/10.1039/d6ay01731b
Source records
- crossref · retrieved 2026-11-08T20:45:38.821Z