After you acquire images, you will need to process them to remove blurred data. The process of relocating signal scatter and out-of-focus information present in digital images is known as Deconvolution. GE Healthcare’s proprietary deconvolution algorithms preserve the amount of light throughout the entire Z-stack. Blurred data is not dropped out. It is reassigned to it’s original location. This process increases contrast and comparative intensities within each Z-stack image, making for extremely sharp 3D reconstructions.
To deconvolve an image or a group of images, use the Constrained Iterative Deconvolve tool or the Nearest Neighbor tool. The Constrained Iterative Deconvolve tool provides the best results for most applications and should be used if you need to quantify intensity. The Nearest Neighbor tool uses an approximate deconvolution approach.
softWoRx provides the following options for deconvolving images:
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Note: softWoRx processes images in a data-conservative way to reduce accidental modification of image files. When it processes images to change image intensities or geometry, it creates a new image instead of modifying the original image. If a mistake is made in the processing at any stage, you can always return to the pre-processed image. Activities such as changing the image intensity scaling change only your view of the data, not the data itself. Before image files are overwritten, you are prompted to confirm them. |