DECODON - Delta2D: Advanced Image Processing
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Advanced Image Processing

Traditional 2D gel analysis packages require time consuming and tedious manual corrections of spot detection and matching, adding significantly to the time you need to analyze an experiment. With Delta2D, any "spot painting" or "trimming" by hand is obsolete. Spot matching, one of the major bottlenecks in traditional packages, works automatically and reliably since corresponding spots already have the same position on all gels after warping.
Defining a warping strategy allows for easy organization of the whole set of warpings needed to analyze your project. Read more about Warping Strategies

Background in the gel images is computed automatically using a very reliable image-region approach. Delta2D can cope with inhomogeneous and strong backgrounds. You can check the background detection by displaying the gel image with and without background, or by showing only the background image.

With image fusion you get a synthetic image that is a pixel-by-pixel combination of a whole stack of gels. The result looks like a real gel image, making it perfect for combining replicate gels into one average image or visualizing analysis results.

Delta2D supports virtually all scanners and imagers on the market today, with image formats including TIFF, IMG, GEL, and JPEG. Scanner-specific grayscale calibrations used in the images are taken into account when spot quantitation is performed.

Related Features and Benefits

Find differences in spot patterns at a glance.

Delta2D produces intuitive and effective dual channel images that let you see differences in spot patterns at a glance.

Use Smart Vectors to align images in record time.

With Delta2D's new SmartVectors™ technology, gel image comparison and spot matching is greatly accelerated. Read more about SmartVectors™.
Additionally, setting up a warping strategy improves and fastens your analysis.

Combine images

Delta2D's proprietary image fusion lets you create proteome maps from collections of 2D gel images. A proteome map looks like a real gel but shows all spots on a single image - even those that will never be expressed at the same time. You can collect protein identifications on the map and then use Delta2D to automatically and reliably transfer them to new gels. Gel images can also be merged into an average image which combines replicates pixel-by-pixel. Read more about Proteome Maps.

Model spots to mimic the protein migration process

Spot modelling replaces the pixel based spot outlines by modelled spot boundaries. The applied model simulates the protein migration process in 2D gel electrophoresis and creates much more realistic spot detection and spot cluster separation results.

Color spots according to their expression profiles.

The larger an experimental design, the higher the analytical complexity. Spot color coding condenses whole experiment expression profiles by using different colors in just one gel image. This simplifies extraction of the really interesting spots.



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