Statistical inference in single molecule measurements of protein adsorption

Megan J. Armstrong; Stanislav Tsitkov; Henry Hess

doi:10.1117/12.2290918

20 February 2018 Statistical inference in single molecule measurements of protein adsorption

Megan J. Armstrong, Stanislav Tsitkov, Henry Hess

Proceedings Volume 10506, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV; 105061A (2018) https://doi.org/10.1117/12.2290918
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Significant effort has been invested into understanding the dynamics of protein adsorption on surfaces, in particular to predict protein behavior at the specialized surfaces of biomedical technologies like hydrogels, nanoparticles, and biosensors. Recently, the application of fluorescent single molecule imaging to this field has permitted the tracking of individual proteins and their stochastic contribution to the aggregate dynamics of adsorption. However, the interpretation of these results is complicated by (1) the finite time available to observe effectively infinite adsorption timescales and (2) the contribution of photobleaching kinetics to adsorption kinetics. Here, we perform a protein adsorption simulation to introduce specific survival analysis methods that overcome the first complication. Additionally, we collect single molecule residence time data from the adsorption of fibrinogen to glass and use survival analysis to distinguish photobleaching kinetics from protein adsorption kinetics.

Citation Download Citation

Megan J. Armstrong, Stanislav Tsitkov, and Henry Hess "Statistical inference in single molecule measurements of protein adsorption", Proc. SPIE 10506, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV, 105061A (20 February 2018); https://doi.org/10.1117/12.2290918

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