Quantifying Cell-Response to Materials Through Population Analyses Enabled by High-Throughput Techniques
S B. Kennedy, Ying Mei, R Gross, N Washburn, Eric J. Amis
Efforts in combinatorial materials science at NIST have evolved into three interwoven toolsets for exploring cell response to materials: material library preparation, high-throughput screening, and statistical treatment of population distributions. As the material library available for investigating cell-biomaterial interactions continues to expand, image acquisition and analysis have been exposed as bottlenecks in the high-throughput approach. Furthermore, sampling biases inherent to imaging techniques are amplified as gradient samples are used to facilitate the exploration of a large parameter space. High throughput image acquisition and analysis techniques are now being refined and applied to several material systems. We will report results from these investigations, including a rigorous statistical analysis comparing several parametric and nonparametric tests.
Society for Biomaterials, Annual Meeting | 29th | |
, Mei, Y.
, Gross, R.
, Washburn, N.
and Amis, E.
Quantifying Cell-Response to Materials Through Population Analyses Enabled by High-Throughput Techniques, Society for Biomaterials, Annual Meeting | 29th | |
(Accessed February 27, 2024)