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RECOMB
2008
Springer
12 years 5 months ago
Automatic Recognition of Cells (ARC) for 3D Images of C. elegans
The development of high-resolution microscopy makes possible the high-throughput screening of cellular information, such as gene expression at single cell resolution. One of the cr...
Fuhui Long, Hanchuan Peng, Xiao Liu, Stuart K. Kim...
BMCBI
2010
208views more  BMCBI 2010»
11 years 5 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
ISBI
2007
IEEE
11 years 11 months ago
Automatic Segmentation of Nuclei in 3d Microscopy Images of C.Elegans
Automatic segmentation of nuclei in 3D microscopy images is essential for many biological studies including high throughput analysis of gene expression level, morphology, and phen...
Fuhui Long, Hanchuan Peng, Eugene W. Myers
BMCBI
2010
218views more  BMCBI 2010»
11 years 2 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
MICCAI
2005
Springer
12 years 6 months ago
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)
The interaction of the microtubules with the cell cortex plays numerous critical roles in a cell. For instance, it directs vesicle delivery, and modulates membrane adhesions pivota...
Stathis Hadjidemetriou, Derek Toomre, James S. Dun...
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