Quantitative image analysis for investigating cell-matrix interactions

Brian Burkel; Jacob Notbohm

doi:10.1117/12.2266595

12 July 2017 Quantitative image analysis for investigating cell-matrix interactions

Brian Burkel, Jacob Notbohm

Proceedings Volume 10324, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2017; 1032403 (2017) https://doi.org/10.1117/12.2266595
Event: International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2017, 2017, Jeju, Korea, Republic of

Abstract

The extracellular matrix provides both chemical and physical cues that control cellular processes such as migration, division, differentiation, and cancer progression. Cells can mechanically alter the matrix by applying forces that result in matrix displacements, which in turn may localize to form dense bands along which cells may migrate. To quantify the displacements, we use confocal microscopy and fluorescent labeling to acquire high-contrast images of the fibrous material. Using a technique for quantitative image analysis called digital volume correlation, we then compute the matrix displacements. Our experimental technology offers a means to quantify matrix mechanics and cell-matrix interactions. We are now using these experimental tools to modulate mechanical properties of the matrix to study cell contraction and migration.

Citation Download Citation

Brian Burkel and Jacob Notbohm "Quantitative image analysis for investigating cell-matrix interactions", Proc. SPIE 10324, International Conference on Nano-Bio Sensing, Imaging, and Spectroscopy 2017, 1032403 (12 July 2017); https://doi.org/10.1117/12.2266595

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