Deconvolution Times vs. Image Size
Image Size
Deconvolution Time
GPU GTX1070 GPU GTX970 CPU 2x E5506

Most Trusted, Most Affordable

The best known and most trusted deconvolution package is now the most affordable GPU based platform on the market. Utilizing the Graphics Processing Unit rather than the Central Processing Unit, allows users to experience the same quality results in only a fraction of the time.


AutoQuant X3 Deconvolution Software

Affordable, Clear Images In A
Fraction Of The Time

As the preferred deconvolution standard, AutoQuant X3, is the most complete package of 2D and 3D restoration algorithms available.

AutoQuant X3 makes it simple to deconvolve image sets and visualize them in time, Z, and channel, and analyze all parameters within the same, easy to use application.

Now, the easiest to use, most reliable deconvolution package on the market just got better. Introducing Graphics Processing Unit driven deconvolution for AutoQuant X3. Adding the module to the current AutoQuant X3 platform maintains the current ease of use, while adding the speed of GPU processing to your current platform.

Click below to learn more about the AutoQuant X3 GPU Module


Why Deconvolve?

Image Restoration

AutoQuant X3 Deconvolution Software Image Restoration

Restoring Fidelity

The deconvolution process restores the fidelity and enhances the quality of images which have undergone inherent, and often inevitable, distortions during the image acquisition process. The inherent optical limitations of microscopes, combined with sample characteristics and imaging techniques, often introduce blurring and other types of noise, which compromise image quality.

AutoQuant's deconvolution tools greatly improve both the image resolution and its contrast, leading to enhanced visualization, better measurements, and more meaningful analysis.

Set Up Easily

  • Work Flow Connector

    Import and export images and data to any supported package with ease.
  • ROI Preview

    The ROI preview provides customers the opportunity to test the settings prior to processing.
  • Easy to use interface

    AutoQuant X is engineered with a high resolution, user friendly interface.
  • AutoQuant X3 Deconvolution Software Work Flow Connector
  • AutoQuant X3 Deconvolution Software ROI Preview
  • AutoQuant X3 Deconvolution Software Easy to Use Interface High Resolution
  • AutoQuant X3 Deconvolution Software Blind Deconvolution
  • AutoQuant X3 Deconvolution Software GPU Processing
  • AutoQuant X3 Deconvolution Software Batch Processing

Apply Easily

  • Blind Deconvolution

    Deconvolve images with the most powerful Maximum Likelihood Estimation (MLE) available.
  • GPU Processing

    Easily add a GPU module to your AutoQuant X3.1 platform to decrease processing time and increase your throughput.
  • Batch Processing

    Quickly load multiple image sets to be automatically aligned and deconvolved sequentially while optimizing the system resources for faster processing.
Faster Deconvolution Times
Add the GPU Module to your AutoQuant X3 platform today and utilize the Graphics Processing Unit to decrease your deconvolution times.


Save your individual settings
Optimize your time by saving your customizable configuration settings for software and hardware preferences.


Objective, Camera, and Dye Lists
The imaging markets most complete list of supported hardware compo-nents and Dye spectral information.


Simplify your choices
One product that provides all your needs. Easily select the optimal Algorithm that fits your requirements without trying to filter through complex packages and a myriad of material numbers.

Optimize your time

Que your image sets
Batch Deconvolution
Select and load your images or image stacks , correct and align your data as needed, and select your algorithm and add them to the batch list.
GPU Based Deconvolution
GPU Based Deconvolution
Deconvolve utilizing the GPU to drive an increase in performance and a decrease time involved to obtain results.


Understanding How it all Works

A "first guess" at the unblurred object is made, typically either by processing the observed image through an inverse filter, or by simply using the Observed Image itself. This becomes the initial Object Estimate.

Decon Flowchart

GPU Deconvolution

Autoquant GPU
Share an Idea