Presentation + Paper
1 March 2019 Setup and analysis to stretch adherent cells with light
Tobias Neckernuss, Daniel Geiger, Jonas Pfeil, Othmar Marti
Author Affiliations +
Abstract
The mechanical properties of cells are important parameters in medicine and natural science. In this work we present a new setup that is capable of stretching adherent cells with light. For the first time, the mechanical properties of adherent cells can be determine with an active method without influencing the results by interaction of a probe or having to alter the biochemistry of the cells (e.g. by applying trypsin to detach them from the substrate). Additionally, a method to detect the resulting deformation has been developed as well as the necessary data analysis algorithms. To quantify and compare the deformation, data are fitted to viscoelastic models consisting of differently connected networks of springs and dashpods. The Akaike information criterion is used to select the best models. With the determined parameters, the mechanical properties can be assessed and 3T3 fibroblasts measured as cultured are compared to latrunculin treated ones. Regarding all parameters, the new technique delivers results in the expected range with respect to the overall mechanical properties of the cells. Furthermore, by investigating the behavior of individual parameters, also conclusions about different timescales can be drawn and the interplay of parts of the cytoskeleton during mechanical deformation is resolved. In addition, the new, active stretching technique proved to be more accurate and sensitive than the well established technique of passive microrheology.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tobias Neckernuss, Daniel Geiger, Jonas Pfeil, and Othmar Marti "Setup and analysis to stretch adherent cells with light", Proc. SPIE 10876, Optical Interactions with Tissue and Cells XXX, 1087607 (1 March 2019); https://doi.org/10.1117/12.2508475
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KEYWORDS
Refractive index

Cytoskeletons

Cameras

Data modeling

Mathematical modeling

Photons

Algorithm development

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