Volocity Restoration

Volocity Restoration provides the tools to quickly and easily convert your standard wide field fluorescence microscope images into superior confocal quality images. Incorporating the latest in computing technology, processing speed no longer presents an issue for our proven restoration algorithms. Now you can produce images of exceptional clarity on line, in real time, without requiring expensive and complicated laser technology – imagine the advantages this could bring to your research!

If you acquire your images from a widefield microscope and want to volume render or make measurements from the image data, you will need to use an image restoration technique to remove the out-of-focus information - a product of the optical properties of the microscope. Even if your images are captured using a laser scanning or spinning disk confocal microscope, the image quality may benefit from image restoration.

Volocity Restoration is an easy to use technique for image restoration that provides impressive results. Calculated PSFs can be created for wide field, confocal, two photon confocal and spinning disk confocal microscopes, or use the measured PSF of the microscope used to acquire the data. Multiple datasets can be batch processed for convenience.

Volocity Restoration has two options for image restoration. The Iterative Restoration algorithm is an award winning restoration algorithm developed by Improvision from published Maximum Entropy techniques. Use this feature when you need a significant improvement in resolution in XY and Z.

The Fast Restoration algorithm is an ultra-fast routine developed by Improvision. This algorithm uniquely uses every voxel in the volume in a single pass process to improve both the visual quality and the precision of the result. This feature is extremely fast to compute and produces superior results when viewed in XY.

Volocity Restoration includes an option to "Break the image into blocks" for processing. If the data set that you wish to deconvolve is larger than the available physical memory and you select this option, Volocity will break the data set into overlapping blocks so that each block can be processed faster, as data will not need to be paged in and out of virtual memory. This can lead to a significant decrease in the time taken to deconvolve large datasets.

The algorithms included in Volocity Restoration were in research and development for over four years and our software team continues to refine the algorithms to provide further improvements in both speed and quality.