Deep Learning‐Assisted Label‐Free Parallel Cell Sorting with Digital Microfluidics (Adv. Sci. 1/2025)
Deep Learning‐Assisted Label‐Free Parallel Cell Sorting In article number 2408353, Shuailong Zhang, Hanbin Ma, Hang Li, and co‐workers develop a novel label‐free cell sorting method that integrates deep learning image recognition with digital microfluidics (DMF) to differentiate cells based on morphology. Cells sorted using this method can be lysed directly on chip within their hosting droplets, ensuring minimal sample loss and suitability for downstream bioanalysis. This deep learning‐assisted DMF cell sorting technique holds significant potential to advance diagnostics, therapeutics, and fundamental research in cell biology. [Image: see text]
Authors
- Shuailong Zhang (ORCID: https://orcid.org/0000-0003-1004-021X)
- Huikai Xie (ORCID: https://orcid.org/0000-0002-8393-0021)
- Zongliang Guo (ORCID: https://orcid.org/0000-0003-4178-7666)
- Rongxin Fu (ORCID: https://orcid.org/0000-0002-4547-2269)
- Houxiang Hu (ORCID: https://orcid.org/0000-0002-6520-2477)
- Haobing Liu (ORCID: https://orcid.org/0000-0002-3588-4593)
- Fenggang Li (ORCID: https://orcid.org/0000-0003-1063-670X)
- Siyi Hu (ORCID: https://orcid.org/0000-0002-0686-5182)
- Hanbin Ma (ORCID: https://orcid.org/0000-0002-7629-2287)
- Hang Li (ORCID: https://orcid.org/0000-0001-8904-4859)
- Yao Lu (ORCID: https://orcid.org/0000-0001-7102-9191)
- Menglei Zhao
- Haopu Wang (ORCID: https://orcid.org/0009-0007-8491-430X)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1002/advs.202570001
- Citations
- 2
- Primary Topic
- Microfluidic and Bio-sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.35