Dr. Ryan W. Davis Profile

Dr. Ryan W. Davis

Post Doctoral Appointee at Sandia National Labs

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Publications (4)

Proceedings Article | 4 March 2014 Paper

Multispectral sorter for rapid, nondestructive optical bioprospecting for algae biofuels

Ryan Davis, Hauwen Wu, Seema Singh

Proceedings Volume 8947, 89471E (2014) https://doi.org/10.1117/12.2040538

KEYWORDS: Luminescence, Raman spectroscopy, Biofuels, Micro raman spectroscopy, Carbon, Photons, Light emitting diodes, Microfluidics, Modulation, Biological research

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Proceedings Article | 18 February 2010 Paper

Fluorescence fluctuation analysis of mixed chromophores from a line-scanning hyperspectral imaging system

Ryan Davis, Jesse Aaron, Susan Rempe, Jerilyn Timlin

Proceedings Volume 7570, 757002 (2010) https://doi.org/10.1117/12.842294

KEYWORDS: Luminescence, Diffusion, Data modeling, Biological research, Imaging spectroscopy, Hyperspectral imaging, Imaging systems, Optical filters, Systems modeling, Image resolution

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Proceedings Article | 4 March 2009 Paper

Hyperspectral image correlation for monitoring membrane protein dynamics in living cells

Ryan Davis, Bryan Carson, Howland D. Jones, Michael Sinclair

Proceedings Volume 7184, 71840J (2009) https://doi.org/10.1117/12.807743

KEYWORDS: Luminescence, Diffusion, Receptors, Imaging spectroscopy, Optical filters, Image analysis, Hyperspectral imaging, Image processing, Proteins, Image filtering

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Temporal image correlation provides a powerful fluorescence technique for measuring several biologically relevant parameters of molecules in living cells. These parameters include, but are not limited to local concentrations, diffusion dynamics, and aggregation states of biomolecules. However, the complex cellular environment presents several limitations, precluding high quantitative accuracy and constraining biological implementation. In order to address these issues, high speed spectral imaging was employed to compare the results of image correlation from spectrally unmixed and virtually implemented fluorescence emission filters. Of particular interest in this study is the impact of cellular autofluorescence, which is ubiquitous in fluorescence imaging of cells and tissues. Using traditional instrumentation, corrections for autofluorescence are commonly estimated as a static offset collected from a separate control specimen. While this may be sufficient in highly homogenous regions of interest, the low analyte concentrations requisite to fluctuation-based methods result in the potential for unbounded error resulting from spectral cross-talk between local autofluorescence inhomogeneities and the fluorescence signal of interest. Thus we demonstrate the importance of accurate autofluorescence characterization and discuss potential corrections using a case study focusing on fluorescence confocal spectral imaging of immune cells before and after stimulation with lipopolysaccheride (LPS). In these experiments, binding of LPS to the membrane receptor, YFP-TLR4, is observed to result in initiation of the immune response characterized by altered receptor diffusion dynamics and apparent heterogeneous aggregation states. In addition to characterizing errors resulting from autofluorescence spectral bleed-through, we present data leading to a deeper understanding of the molecular dynamics of the immune response and suggest hypotheses for future work utilizing hyperspectrally enabled multi-label fluorescence studies on this system of high biological import.

Proceedings Article | 28 February 2008 Paper

Accurate measurement of cellular autofluorescence is critical for imaging of host-pathogen interactions

Jerilyn Timlin, Rachel Noek, Julia Kaiser, Michael Sinclair, Howland Jones, Ryan Davis, Todd Lane

Proceedings Volume 6859, 68590A (2008) https://doi.org/10.1117/12.763915

KEYWORDS: Imaging spectroscopy, Proteins, Luminescence, Fluorescent proteins, Bacteria, Microscopes, Signal detection, Tissues, Confocal microscopy, Image analysis

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