DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.

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Title: DEP-track: a motion-aware framework for large-scale cell tracking and crossover frequency estimation in dielectrophoresis.
Authors: Lee S; Department of Precision Medicine, Wonju College of Medicine, Wonju, Republic of Korea., Choi S; Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea.; Institute of Global Health Technology (IGHT), Korea University, Seoul, Republic of Korea., Lee Y; Department of Precision Medicine, Wonju College of Medicine, Wonju, Republic of Korea., Bae H; Department of Precision Medicine, Wonju College of Medicine, Wonju, Republic of Korea., Han J; Department of Precision Medicine, Wonju College of Medicine, Wonju, Republic of Korea., Kim YS; Department of Biomedical Laboratory Science, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea., Lee SW; Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea., Yang S; Department of Precision Medicine, Wonju College of Medicine, Wonju, Republic of Korea.; Department of Medical Informatics and Biostatistics, Wonju College of Medicine, Wonju, Republic of Korea.
Source: Frontiers in bioinformatics [Front Bioinform] 2026 Apr 23; Vol. 6, pp. 1821804. Date of Electronic Publication: 2026 Apr 23 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2673-7647
DOI:10.3389/fbinf.2026.1821804