Methods

Our lab uses indentation type atomic force spectroscopy to determine the mechanical properties of hydrogels and various types of cells and tissues. Read More about “Atomic Force Microscopy”…

Machine learning (ML) is a subfield of artificial intelligence that focuses on pattern recognition and computational learning. ML constructs algorithms to learn from and make predictions on data, so that we can make decisions by data-driven instead of static program instructions. Read More about “Machine Learning”…

Optical trapping employs forces generated by light to spatially immobilize suspended objects in a contact-free manner. Read More about “Dual-Beam Laser Traps, Optical Stretcher, Optical Cell Rotator”…

Quantitative phase imaging (QPI) is a marker-free technique for quantifying the optical thickness of cells. We are interested in optical properties that can be derived from the optical thickness, including refractive index (RI) or mass density of cells. Read More about “Quantitative Phase Imaging & Optical Diffraction Tomography”…

Real-Time Deformability Cytometry (RT-DC) is a novel high-throughput method for the mechanical characterization of single cells that has recently been developed in our lab. Read More about “Real-Time Deformability Cytometry”…

The microstructure facility (MSF) of the Center for Regenerative Therapies Dresden (CRTD) provides cutting edge technologies for the micro-structuring of organic/inorganic materials and the fabrication of polymeric devices and offers full set of skills and capabilities within material science, photolithography, soft lithography, polymer microstructuring, thin film deposition and microfluidics. Read More about “Microfabrication”…