Methods

Atomic Force Microscopy

Our lab uses indentation type atomic force spectroscopy to determine the mechanical properties of hydrogels and various types of cells and tissues. Read More...


Machine Learning

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...


Dual-Beam Laser Traps, Optical Stretcher, Optical Cell Rotator

Optical trapping employs forces generated by light to spatially immobilize suspended objects in a contact-free manner. Read More...


Quantitative Phase Imaging & Optical Diffraction Tomography

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...


Real-Time Deformability Cytometry

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...

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Current issue: Newsletter No 15 - April 2020

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