High-Quality Imaging Flow Cytometry Based on Acoustic Focusing and its Application in Label-Free Leukocyte Differential Coupled with Deep Neural Network
This paper presented a high-quality imaging flow cytometry based on acoustic focusing with demonstrative applications in label-free leukocyte differential coupled with deep neural network. Novelties of this study lied in 1) capture of high-quality cell images due to acoustic radiation forces, where all cells travelled along the standing wave node without deviation, enabling ∼100% capture of cells without losing focuses; 2) high classification accuracy due to deep neural network, where the best performance of leukocyte differential (99.4% at 5-part normal/abnormal leukocytes) was reported among label-free impedance and/or imaging flow cytometry.
Authors
- Xiaoye Huo (ORCID: https://orcid.org/0000-0001-8309-8637)
- Xukun Huang
- Xuzhen Qin (ORCID: https://orcid.org/0000-0003-3877-8021)
- Jian Chen (ORCID: https://orcid.org/0000-0003-4612-3279)
- Nan Li (ORCID: https://orcid.org/0000-0002-9889-182X)
- Xiaohong Chen (ORCID: https://orcid.org/0000-0002-9797-8384)
- Junbo Wang (ORCID: https://orcid.org/0000-0002-6032-1274)
Institutions
- Peking Union Medical College Hospital (CN)
- State Key Laboratory of Transducer Technology (CN)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.1109/transducers61432.2025.11111487
- Primary Topic
- Microfluidic and Bio-sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China