Label-Free Single-Cell Cancer Classification from the Spatial Distribution of Adhesion Contact Kinetics.

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作者： Balint,Beres ^[1] ; Kinga Dora,Kovacs ^[2] ; Nicolett,Kanyo ^[3] ; Beatrix,Peter ^[3] ; Inna,Szekacs ^[3] ; Robert,Horvath ^[3]

作者单位： Nanobiosensorics Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, Konkoly-Thege út 29-33, Budapest H-1121, Hungary.;Department of Automation and Applied Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest H-1111, Hungary. ^[1] Nanobiosensorics Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, Konkoly-Thege út 29-33, Budapest H-1121, Hungary.;Department of Biological Physics, Eötvös University, Pázmány Péter stny. 1/A, Budapest H-1117, Hungary. ^[2] Nanobiosensorics Laboratory, Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, Konkoly-Thege út 29-33, Budapest H-1121, Hungary. ^[3]

关键词 cell activity-based classification cell type classification convolutional neural network deep learning phase-contrast microscope resonant waveguide grating biosensor single-cell selection

主题词人类(Humans);单细胞分析(Single-Cell Analysis);细胞黏附(Cell Adhesion);动力学(Kinetics);生物传感技术(Biosensing Techniques);肿瘤(Neoplasms);细胞系, 肿瘤(Cell Line, Tumor);显微镜检查, 相差(Microscopy, Phase-Contrast)

DOI 10.1021/acssensors.4c01139

PMID 39082162

发布时间 2024-11-28

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ACS sensors

2024年9卷11期

5815-5827页

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Label-Free Single-Cell Cancer Classification from the Spatial Distribution of Adhesion Contact Kinetics.

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Label-Free Single-Cell Cancer Classification from the Spatial Distribution of Adhesion Contact Kinetics.

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