Microscopy-Based High-Throughput Analysis of Cells Interacting with Nanostructures

  • Raimo Hartmann
  • Wolfgang J. Parak


Due to their small size and related interesting properties, artificial nanomaterials are utilized for a great number of biological and medical applications. Cell entry routes, intracellular trafficking and processing of nanoparticles, which determine their fate, efficiency, and toxicity, are depending on various parameters of the specific nanomaterial, such as size, surface charge, surface chemistry and elasticity. Nanoparticle-cell interactions are typically elucidated by means of fluorescence microscopy as cell functions can be observed by a multiplicity of commercially available probes. For the quantification of cell features from images (image cytometry), computer-based algorithms are favoured to avoid bias introduced by the subjective perception of the observer. By applying high throughput microscopy in combination with digital image cytometry the screening of high numbers of cells is made possible yielding statistically meaningful results. In this chapter methods from digital image cytometry are described for assessing the interactions of cells with nanostructures.


Image Segmentation Point Spread Function Cell Segmentation Image Cytometry Watershed Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Fachbereich PhysikPhilipps Universität MarburgMarburgGermany

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