TY - GEN
T1 - Unsupervised cell identification on multidimensional x-ray fluorescence datasets
AU - Wang, Siwei
AU - Ward, Jesse
AU - Leyffer, Sven
AU - Wild, Stefan
AU - Jacobsen, Chris
AU - Vogt, Stefan
PY - 2013
Y1 - 2013
N2 - X-ray fluorescence microscopy is a powerful technique to map and quantify trace element distributions in biological specimens. It is perfectly placed to map nanoparticles and nanovectors within cells, at high spatial resolution. Advances in instrumentation, such as faster detectors, better optics, and improved data acquisition strategies are fundamentally changing the way experiments can be carried out, giving us the ability to more completely interrogate samples, at higher spatial resolution, higher throughput and better sensitivity. Yet one thing is still missing: The next generation of data analysis and visualization tools for multidimensional microscopy that can interpret data, identify and classify objects within datasets, visualize trends across datasets and instruments, and ultimately enable researchers to reason with abstraction of data instead of just with images.
AB - X-ray fluorescence microscopy is a powerful technique to map and quantify trace element distributions in biological specimens. It is perfectly placed to map nanoparticles and nanovectors within cells, at high spatial resolution. Advances in instrumentation, such as faster detectors, better optics, and improved data acquisition strategies are fundamentally changing the way experiments can be carried out, giving us the ability to more completely interrogate samples, at higher spatial resolution, higher throughput and better sensitivity. Yet one thing is still missing: The next generation of data analysis and visualization tools for multidimensional microscopy that can interpret data, identify and classify objects within datasets, visualize trends across datasets and instruments, and ultimately enable researchers to reason with abstraction of data instead of just with images.
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U2 - 10.1145/2503385.2503481
DO - 10.1145/2503385.2503481
M3 - Conference contribution
AN - SCOPUS:84881570911
SN - 9781450323420
T3 - ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
BT - ACM SIGGRAPH 2013 Posters, SIGGRAPH 2013
T2 - ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2013
Y2 - 21 July 2013 through 25 July 2013
ER -