Geometry-driven Visualization of Microscopic Structures in Biology

Simple item page
dc.contributor.authorMosaliganti, Kishoreen_US
dc.contributor.authorMachiraju, Raghuen_US
dc.contributor.authorHuang, Kunen_US
dc.contributor.authorLeone, Gustavoen_US
dc.contributor.editorA. Vilanova, A. Telea, G. Scheuermann, and T. Moelleren_US
dc.date.accessioned2014-02-21T18:45:09Z
dc.date.available2014-02-21T18:45:09Z
dc.date.issued2008en_US
dc.description.abstractAt a microscopic resolution, biological structures are composed of cells, red blood corpuscles (RBCs), cytoplasm and other microstructural components. There is a natural pattern in terms of distribution, arrangement and packing density of these components in biological organization. In this work, we propose to use N-point correlation functions to guide the analysis and exploration process in microscopic datasets. These functions provide useful feature spaces to aid segmentation and visualization tasks. We show 3D visualizations of mouse placenta tissue layers and mouse mammary ducts as well as 2D segmentation/tracking of clonal populations. Further confidence in our results stems from validation studies that were performed with manual ground-truth for segmentation.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01219.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01219.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleGeometry-driven Visualization of Microscopic Structures in Biologyen_US
Files
Collections
27-Issue 3
EuroVis08: Joint Eurographics - IEEE VGTC Symposium on Visualization