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Capturing high dynamic range with gel doc systems

What is dynamic range?

For image analysis, the dynamic range (or grey level resolution) refers to the actual range of grayscale levels being used by the image which will be less than the available range of values. For example: with a 16-bit image there are 65,536 available values and your data will lie somewhere inside that range.

How does dynamic range effect quantification?

When capturing images, you should aim to get a high dynamic range, A high dynamic range allows greater precision in the intensities represented by each pixel.

How to capture your images with high dynamic range?

When optimizing for dynamic range, be aware that increasing the range too much can lead to saturation. Try not to extend the dynamic range using image processing package as this adds no new information.

It is good practice to optimise scanning so that the majority of the available grayscale range is represented; a limited dynamic range can not only impact on the quality of image analysis, it may also compromise quantitative results when comparing data between images.

We illustrate this in the video below, comparing low and high dynamic range. Watch our for our extra recommendations for what to look out for when capturing your images.

We’ve created some more useful documents discussing quantitation

The image saturation effect on image analysis

The image capture effect on your image analysis results

Capturing bit depth with gel doc systems