Alexander Mietke

ORCID: 0000-0003-1170-2406
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About
Contact & Profiles
Research Areas
  • Cellular Mechanics and Interactions
  • Micro and Nano Robotics
  • Microfluidic and Bio-sensing Technologies
  • Cell Image Analysis Techniques
  • Nonlinear Dynamics and Pattern Formation
  • Modular Robots and Swarm Intelligence
  • Blood properties and coagulation
  • Advanced Materials and Mechanics
  • Genetics, Aging, and Longevity in Model Organisms
  • Liquid Crystal Research Advancements
  • Structural Analysis and Optimization
  • Material Dynamics and Properties
  • Rheology and Fluid Dynamics Studies
  • Molecular spectroscopy and chirality
  • Atomic and Subatomic Physics Research
  • Force Microscopy Techniques and Applications
  • Silk-based biomaterials and applications
  • Pickering emulsions and particle stabilization
  • Advanced Fluorescence Microscopy Techniques
  • Single-cell and spatial transcriptomics
  • Gene Regulatory Network Analysis
  • Experimental and Theoretical Physics Studies
  • Quantum, superfluid, helium dynamics
  • Algal biology and biofuel production
  • Photoreceptor and optogenetics research

Massachusetts Institute of Technology
2019-2023

University of Bristol
2022-2023

Max Planck Institute of Molecular Cell Biology and Genetics
2017-2020

Max Planck Institute for the Physics of Complex Systems
2017-2020

Center for Systems Biology Dresden
2018-2020

TU Dresden
2011-2020

Max Planck Institute for Physics
2017

Max Planck Institut für Zellbiologie
2017

University of Virginia
2011

Max Planck Institute for Human Cognitive and Brain Sciences
2011

Cell stiffness is a sensitive indicator of physiological and pathological changes in cells, with many potential applications biology medicine. A new method, real-time deformability cytometry, probes cell at high throughput by exposing cells to shear flow microfluidic channel, allowing for mechanical phenotyping based on single-cell deformability. However, observed deformations the channel not only are determined stiffness, but also depend size relative size. Here, we disentangle mutual...

10.1016/j.bpj.2015.09.006 article EN cc-by-nc-nd Biophysical Journal 2015-11-01

Recent advances in high-resolution imaging techniques and particle-based simulation methods have enabled the precise microscopic characterization of collective dynamics various biological engineered active matter systems. In parallel, data-driven algorithms for learning interpretable continuum models shown promising potential recovery underlying partial differential equations (PDEs) from data. By contrast, macroscopic hydrodynamic directly experiments or particle simulations remains a major...

10.1073/pnas.2206994120 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2023-02-10

The measurement of cell stiffness is an important part biological research with diverse applications in biology, biotechnology and medicine. Real-time deformability cytometry (RT-DC) a new method to probe at high throughput by flushing cells through microfluidic channel where deformation provides indicator for (Otto et al. cytometry: on-the-fly 725 mechanical phenotyping. Nat. Methods 2015, 12, 199–202). Here, we propose full numerical model single flow quantitatively relate parameters....

10.1021/acsbiomaterials.6b00558 article EN ACS Biomaterials Science & Engineering 2017-01-11

Significance Morphogenesis, the emergence of shape and form in biological systems, is a process that fundamentally mechanochemical: Shape changes material are driven by active mechanical forces generated chemical processes, which turn can be affected deformations flows occur. We provide framework integrates these interactions between geometry deforming materials processes them introducing dynamics self-organized surfaces. show tight coupling surface mechanics gives rise to spontaneous...

10.1073/pnas.1810896115 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2018-12-19

Abstract Histological studies have shown a relatively high iron concentration in the subthalamic nucleus (STN). T2‐ and T2*‐weighted sequences previously been used to visualize STN vivo . The phase information of gradient‐echo images reflects magnetic tissue properties more directly, e.g., is paramagnetic than water. Unfortunately, suffer from non‐local effects orientation dependency. goal this study delineate precisely using susceptibility maps, calculated images, which directly index while...

10.1002/hbm.21404 article EN Human Brain Mapping 2011-09-20

Abstract The mechanical fingerprint of cells is inherently linked to the structure cytoskeleton and can serve as a label‐free marker for cell homeostasis or pathologic states. How cytoskeletal composition affects physical response external loads has been intensively studied with spectrum techniques, yet quantitative statistically powerful investigations in form titration assays are hampered by low throughput most available methods. In this study, we employ real‐time deformability cytometry...

10.1002/cm.21369 article EN cc-by-nc Cytoskeleton 2017-04-26

Real-time deformability (RT-DC) is a method for high-throughput mechanical and morphological phenotyping of cells in suspension. While analysis rates exceeding 1000 per second allow label-free characterization complex biological samples, e.g., whole blood, data evaluation has so far been limited to few geometrical material parameters such as cell size, deformation, elastic Young's modulus. But microscopy-based technology, RT-DC actually generates yields multidimensional datasets that require...

10.1063/1.5027197 article EN cc-by Biomicrofluidics 2018-06-04

The cell cortex, a thin film of active material assembled below the membrane, plays key role in cellular symmetry-breaking processes such as polarity establishment and division. Here, we present minimal model self-organization cortex that is based on hydrodynamic theory curved surfaces. Active stresses this surface are regulated by diffusing molecular species. We show coupling to passive bulk fluid enables spontaneous polarization formation contractile ring via mechanochemical instabilities....

10.1103/physrevlett.123.188101 article EN Physical Review Letters 2019-10-28

Proper positioning of cells is essential for many aspects development. Daughter cell positions can be specified via orienting the division axis during cytokinesis. Rotatory actomyosin flows have been implied in specifying and reorienting axis, but how general such reorientation events are, they are controlled, remains unclear. We followed first nine divisions Caenorhabditis elegans embryo development demonstrate that chiral counter-rotating arise systematically early AB lineage, not P/EMS...

10.7554/elife.54930 article EN cc-by eLife 2020-07-09

10.1038/s41567-024-02763-y article EN Nature Physics 2025-01-22

Theories of self-organised active fluid surfaces have emerged as an important class minimal models for the shape dynamics biological membranes, cells and tissues. Here, we develop apply a variational approach to systematically study nonlinear emergent spaces such theories give rise to. To represent dynamic surfaces, design arbitrary Lagrangian-Eulerian parameterizations deforming surfaces. Exploiting symmetries imposed by Onsager relations, construct formulation that is based on entropy...

10.48550/arxiv.2501.17849 preprint EN arXiv (Cornell University) 2025-01-29

Embryogenesis is a multiscale process during which developmental symmetry breaking transitions give rise to complex multicellular organisms. Recent advances in high-resolution live-cell microscopy provide unprecedented insights into the collective cell dynamics at various stages of embryonic development. This rapid experimental progress poses theoretical challenge translating high-dimensional imaging data predictive low-dimensional models that capture essential ordering principles governing...

10.7554/elife.68679 article EN cc-by eLife 2021-12-29

Abstract The control of cell shape during cytokinesis requires a precise regulation mechanical properties the cortex. Only few studies have addressed mechanisms underlying robust production unequal-sized daughters asymmetric division. Here we report that unequal daughter-cell sizes resulting from sensory organ precursor divisions in Drosophila are controlled by relative amount cortical branched Actin between two poles. We demonstrate this mistargeting machinery for dynamics using nanobodies...

10.1038/s41556-022-01058-9 article EN cc-by Nature Cell Biology 2023-02-01

A mathematical analysis of dihedral liquid crystals shows that certain defects have braiding properties analogous to those anyons, thus offering a roadmap for creating anyonic behavior in soft-matter systems.

10.1103/physrevx.12.011027 article EN cc-by Physical Review X 2022-02-09

First experiments on the growth of oxypnictide F-doped LaFeAsO thin films indicated an incomplete normal-to-superconducting transition and offered a work programme challenging to overcome possible difficulties in their fabrication. In this regard possibility all in-situ epitaxial appeared be matter time parameters. The following review clarifies that are extremely difficult grow by PLD due formation very stable impurity phases such as oxyfluorides (LaOF) oxides ( La 2 O 3 ) loss...

10.1142/s0217979213300016 article EN International Journal of Modern Physics B 2012-12-20

The mechanical properties of cells are known to be a label-free, inherent marker biological function in health and disease. Wide-spread utilization has so far been impeded by the lack convenient measurement technique with sufficient throughput. To address this unmet need, we have recently introduced real-time deformability cytometry (RT-DC) for continuous single-cell classification heterogeneous cell populations at rates several hundred per second. Cells driven through constriction zone...

10.1109/embc.2015.7318744 article EN 2015-08-01

10.1016/j.nima.2011.12.088 article EN Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 2011-12-31

Recent advances in high-resolution imaging techniques and particle-based simulation methods have enabled the precise microscopic characterization of collective dynamics various biological engineered active matter systems. In parallel, data-driven algorithms for learning interpretable continuum models shown promising potential recovery underlying partial differential equations (PDEs) from data. By contrast, macroscopic hydrodynamic directly experiments or particle simulations remains a major...

10.48550/arxiv.2101.06568 preprint EN other-oa arXiv (Cornell University) 2021-01-01
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