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Series GSE33899 Query DataSets for GSE33899
Status Public on Nov 23, 2011
Title Segmentation and intensity estimation for microarray images with saturated pixels
Platform organism synthetic construct
Sample organism Homo sapiens
Experiment type Protein profiling by protein array
Summary Images and gpr files were examined using a novel saturation reduction method to determine whether accuracy could be improved by extending dynamic range of saturated pixels
 
Overall design Three immunosignatures from human Valley Fever (Coccidiodes) patients and three immunosignatures from human influenza vaccine recipients were examined to test an algorithm that extends the apparent dynamic range of a fluorescence image. These images had several saturated spots at 70PMT and 100% laser power. The program examined the differences between Valley Fever and influenza in terms of standard image processing vs. segmentation and intensity estimation.
 
Contributor(s) Yan Y, Phillip S, YoonJoo K
Citation(s) 22129216
Submission date Nov 22, 2011
Last update date Nov 06, 2013
Contact name Phillip Stafford
E-mail(s) phillip.stafford@asu.edu
Organization name Biodesign Institute
Department Center for Innovations in Medicine
Lab Biostatistics
Street address 1001 S. McAllister
City Phoenix
State/province AZ
ZIP/Postal code 85287
Country USA
 
Platforms (1)
GPL14921 ASU_random-sequence peptide microarray
Samples (6)
GSM838547 Cocci #1
GSM838548 Cocci #2
GSM838549 Cocci #3
Relations
BioProject PRJNA148259

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE33899_RAW.tar 150.3 Mb (http)(custom) TAR (of GPR, TIFF)
Processed data not provided for this record

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