AutoQuant X3

What is AutoQuant X3?

STANDARD DECONVOLUTION

As the preferred deconvolution pattern, Autoquant X3 is the most complete package of 2D and 3D restore algorithms available.

AutoQuant X3 simplifies the deconvolution of image sets and visualizes them in time, Z and channel and analyzes all parameters within the same application, easy to use.

Why Deconvolve?

Image Restore

Restoring fidelity

The Deconvolution process restores fidelity and improves the quality of images that have suffered inherent, and often unavoidable, distortions during the image acquisition process. The optical limitations inherent in microscopes, combined with sample characteristics and imaging techniques, often introduce blurs and other types of noise, which compromises image quality.

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

Easy setup

Workflow Connector

Import and export images and data to any compatible package with ease.

ROI Preview

The ROI preview gives customers the opportunity to test settings before processing.

Easy-to-use interface

Autoquant X is designed with a high resolution, user-friendly interface.

Easy application

Blind Deconvolution

Deconvolve images with the most powerful Maximum Likelihood (MLE) estimate available.

Custom Modeling "Gibson-Lanni"

Establishes the Point Spread Function (PSF) modeling algorithm for Theoretical Determination of FHP, as well as detection and correction of Spherical Aberration (SA).

Batch processing

Quickly load multiple image sets to be automatically aligned and decontaminated sequentially while optimizing system resources for faster processing.

Save your individual settings

Optimize your time by saving your customizable settings to software and hardware preferences.

Goal, Camera and Dye Lists

The most complete lita on the image market that supports the widest variety of hardware components and spectral information "dye"

A product that meets all your needs. Easily select the ideal algorithm that fits your needs without trying to filter complex packages and a myriad of material numbers.

Understanding how everything works

A "first assumption" on the non-blurred object is made, typically by processing the image observed through a reverse filter, or simply using the Observed Image itself. This becomes the initial estimate of the object.

Optimize your time

Queue your image sets

Select your images or image stacks and algorithm, even add automatic alignment.

Parse

Use one or more of the many built-in measurement tools to compare results with original images or other unconversationed images.

Select your Optimized Algorithm

No/Nearest Neighbor

Simple and quick blot subtraction.

Reverse filter

Simple, non-itterous blur inversion based on a calculated PSF.

Combative devices

- Camera/Frame Grabber

- Microscope Component

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768