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Showing 1–6 of 6 results
Advanced filters: Author: Salvatore Girardo Clear advanced filters
  • Real-time deformability cytometry allows the continuous mechanical characterization of cells with high throughput and is applied to distinguish cell-cycle phases, track differentiated cells and profile cell populations in whole blood.

    • Oliver Otto
    • Philipp Rosendahl
    • Jochen Guck
    Research
    Nature Methods
    Volume: 12, P: 199-202
  • Real-time deformability cytometry (RT-DC) is used for mechanical cell phenotyping but is limited to a single snapshot per cell and can only measure elastic modulus. Here the authors introduce dynamic RT-DC which can measure elasticity and viscosity in single cells by following dynamic cell shape changes.

    • Bob Fregin
    • Fabian Czerwinski
    • Oliver Otto
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-11
  • Piezoelectronic materials are attractive for force sensing and as energy harvesting components in electronics that interface directly with the human body. Here, the authors synthesize large area, flexible, electrospun materials capable of ultra-high sensitivity force measurements in the low-pressure regime.

    • Luana Persano
    • Canan Dagdeviren
    • John A. Rogers
    Research
    Nature Communications
    Volume: 4, P: 1-10
  • RT-FDC combines the specificity of fluorescent probes with functional readout of a cell's mechanical properties. The resulting correlation of fluorescence-based cell identity with mechanical measurements in real time allows the development of label-free, mechanical cell sorting.

    • Philipp Rosendahl
    • Katarzyna Plak
    • Jochen Guck
    Research
    Nature Methods
    Volume: 15, P: 355-358
  • Sorting RT-FDC combines real-time fluorescence and deformability cytometry with sorting based on standing surface acoustic waves to transfer molecular specificity to label-free, image-based cell sorting using an efficient deep neural network.

    • Ahmad Ahsan Nawaz
    • Marta Urbanska
    • Jochen Guck
    Research
    Nature Methods
    Volume: 17, P: 595-599