It allows deconvolution of images from a wide variety of systems, including widefield, confocal and light sheet microscopes, in combining intelligent software programming with the power of a graphical processing unit (GPU).

Improved visibility in low light conditions, increasing success rates in live cell and time-lapse experiments.

Improved Measurement Accuracy: cleaner measurements after deconvolution, including improved colocalization, FRET data, neurite lengths, and fluorescence intensities.

Dynamic Experiment Adjustments: Ability to make real-time adjustments to microscopy experiments, allowing more data to be collected from the same sample.

Cross-Microscope Compatibility: Microvolution software deconvolves images from widefield, confocal, two-photon, light sheet, and HCA microscopes.

Microvolution technology uses blind deconvolution to improve noisy data, especially in deep tissue imaging.

Multi-GPU options allow fast processing of even very large samples.

Accuracy: Microvolution preserves thin filaments using a precise Richardson-Lucy algorithm, ensuring accuracy up to 200 times faster than other software vendors.

Clarity & Increased Resolution: Deconvolution under optimal conditions breaks the diffraction barrier, improving visual resolution. Microvolution’s technology is demonstrated with a 2X improvement in clarity.

The graph showing the intensity plot profile measured on the same area (yellow line) in the raw and deconvolved image. Deconvolution allows to improve the quality of the image by rellocating out-of-focus photons and denoising the background.