For image analysis scan files of the 2D-DIGE gels were loaded into DeCyder 2D software (GE Healthcare, version 7.2). Spots were detected with an estimate of 5000 spots for the 2D-DIGE gel. Subsequently, a detection area excluding the region of strip application, molecular weight marker, and running front was determined. Spots with a volume below 50,000 were defined to be background. Stained crumbs originating from the dyes were eliminated by excluding spots with an area below 300. False positive spots, for example, produced by dye artifacts within the gel were removed manually. After editing the gels were normalized towards the Cy2 channel (internal standard).
Decyder 2d software
The DeCyder 2D software is a data analysis tool developed by GE Healthcare for the processing and analysis of 2D gel electrophoresis images. The software provides automated spot detection, quantification, and matching across multiple gel images, enabling researchers to identify and compare protein expression patterns.
Lab products found in correlation
13 protocols using decyder 2d software
Quantitative 2D-DIGE Protein Analysis
For image analysis scan files of the 2D-DIGE gels were loaded into DeCyder 2D software (GE Healthcare, version 7.2). Spots were detected with an estimate of 5000 spots for the 2D-DIGE gel. Subsequently, a detection area excluding the region of strip application, molecular weight marker, and running front was determined. Spots with a volume below 50,000 were defined to be background. Stained crumbs originating from the dyes were eliminated by excluding spots with an area below 300. False positive spots, for example, produced by dye artifacts within the gel were removed manually. After editing the gels were normalized towards the Cy2 channel (internal standard).
Comparative Proteomics of Canine CSM
Differential Proteomic Analysis of Multiple Myeloma
Quantitative Proteomic Profiling of Meningiomas
Differential Proteomics Analysis by 2D-DIGE
2D-DIGE Gel Image Analysis Protocol
For image analysis, scan files of the 2D-DIGE gels were loaded into DeCyder 2D software (GE Healthcare, version 7.2). Spots were detected with an estimate of 5,000 spots for the 2D-DIGE gel. Subsequently, a detection area excluding the region of strip application, molecular weight marker, and running front was defined. Spots with a volume below 100,000 were defined to be background. Stained crumbs originated from the Dyes were eliminated by excluding spots with an area below 350. False positive spots, for example, produced by dye artefacts within the gel were removed manually. After the editing the gels were normalized towards the Cy2 channel (internal standard).
Flow Cytometry and Invasion Assay Protocol
SDS-PAGE Protein Separation and Visualization
DIGE Image Analysis of Pneumococcal Variants
Image analysis was undertaken using DeCyder 2D software (version 7, GE Healthcare). Each gel image was processed separately in the Differential In-gel Analysis (DIA) module of DeCyder prior to export to the Biological Variation Analysis (BVA) module. In all DIGE experiments, protein expression in the T variant of every strain was subjected to statistical comparison with its O counterpart (D39O vs. D39T; WCH16O vs. WCH16T; WCH43O vs. WCH43T) to detect spots that are differentially expressed using unpaired two-tailed Students t-test. Those spots that returned a p-value of <0.05 were accepted. For the second DIGE experiments, spots with a significant p-value were further verified to exhibit a consistent regulation pattern, i.e. up/down regulated in T vs. O in all three strains.
Multivariate Analysis of Fluorescence Imaging
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