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Real-time deformability cytometry: on-the-fly cell mechanical phenotyping

by Pagliara, Stefano , Ekpenyong, Andrew , Guck, Jochen , Töpfner, Nicole , Girardo, Salvatore , Rosendahl, Philipp , Jacobi, Angela , Golfier, Stefan , Keyser, Ulrich F , Fischer-Friedrich, Elisabeth , Otto, Oliver , Herold, Christoph , Mietke, Alexander , Wobus, Manja , Klaue, Daniel , Mansfeld, Jörg

in 13/100 / 13/62 / 14/63 / 49/31 / 49/47 / 631/1647/1407/1492 / 631/1647/2204 / 631/1647/277 / 631/61 / Antigens, CD34 - metabolism / Bioinformatics / Biological Microscopy / Biological Techniques / Biology / Biomedical Engineering/Biotechnology / Biotechnology / Blood / brief-communication / Cell Cycle / Cell Differentiation / Cell Lineage / Cell research / Cell Shape / Cellular control mechanisms / Cytochalasin D - pharmacology / Cytoskeleton / Equipment Design / Flow cytometry / Flow Cytometry - instrumentation / Flow Cytometry - methods / Genotype & phenotype / Hematopoietic Stem Cells - cytology / Hematopoietic Stem Cells - metabolism / HL-60 Cells - cytology / HL-60 Cells - drug effects / Humans / Innovations / Life Sciences / Microfluidic Analytical Techniques / Proteomics / Stem cells

2015

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2015

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Journal Article

Real-time deformability cytometry: on-the-fly cell mechanical phenotyping

Pagliara, Stefano,

Ekpenyong, Andrew,

Guck, Jochen,

Töpfner, Nicole,

Girardo, Salvatore,

Rosendahl, Philipp,

Jacobi, Angela,

Golfier, Stefan,

Keyser, Ulrich F,

Fischer-Friedrich, Elisabeth,

Otto, Oliver,

Herold, Christoph,

Mietke, Alexander,

Wobus, Manja,

Klaue, Daniel,

Mansfeld, Jörg

2015

Overview

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. We introduce real-time deformability cytometry (RT-DC) for continuous cell mechanical characterization of large populations (>100,000 cells) with analysis rates greater than 100 cells/s. RT-DC is sensitive to cytoskeletal alterations and can distinguish cell-cycle phases, track stem cell differentiation into distinct lineages and identify cell populations in whole blood by their mechanical fingerprints. This technique adds a new marker-free dimension to flow cytometry with diverse applications in biology, biotechnology and medicine.

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Publisher

Nature Publishing Group US,Nature Publishing Group

Subject

13/100

/ 13/62

/ 14/63

/ 49/31

/ 49/47

/ 631/1647/1407/1492

/ 631/1647/2204