CF Go
The essential Aivia pack for Core Facilities
 

The CF Go package is perfect for small core facilities or labs looking for a cost efficient visualization and automated image analysis package. The package includes the Aivia base module, 2D and 3D packages as well as the machine learning object classifier. Additionally, the CF Go package comes with three (3) years of technical support and software upgrades for free plus one additional standard analysis recipe from Aivia's large collection of analysis solutions.

Included Modules
  • Detect and track objects in 2D and 3D images
  • Fast, terabyte-ready image and data visualization with three display modes (2D, 3D, and Gallery)
  • 2D / 3D manual editing tools for outlines, objects and tracks
  • Machine learning-powered object classifier add-on
  • Three (3) years of technical support plus software updates included

Features

The backbone of all Aivia packages. It features high performance volume and surface rendering engines capable of handling even the most demanding (multi-terabyte, multi-channel time series) microscopy datasets. It offers a wide range of visualization models which enables you to explore your data. Basic quantitative options such as Measurement, Spreadsheet, Charts and Annotations are also included with Aivia Base.

Aivia Base

Aivia 2D is an impressive collection of tools for the most common 2D applications. The package includes analysis pipelines ("recipes") for object detection and tracking for fluorescence and phase contrast microscopy images. Select recipes include pre-taught machine learning image enhancement filters to greatly improve image quality for analysis. Editing of the analysis results is possible with the built-in Outline Editor (for objects) and Track Editor (for tracks). This enables you to get to 100% accuracy on the analysis results when critical.

2D Count + Tracking

Aivia 3D provides automated analysis pipelines ("recipes") for object detection and tracking in 3D microscopy images. The recipes use the latest image segmentation algorithm to detect and partition objects based on intensity, size and shape of the object. The tracking recipe tracks object motion over time and automatically detects lineages using an innovative dual-score track matching algorithm based on object motion and intensity. The analysis results are rendered almost instantaneously in 3D view; allowing you to interact with selected objects without interruptions.

3D Count + Tracking

You can train a machine learning model to distinguish objects of interest from background. The Pixel Classifier provides a powerful way to detect objects in images where conventional threshold-based methods are not enough.

Pixel Classifier

The machine learning object classifier allows you to train Aivia to look for specific phenotypes present in your analysis data. Whether you are applying one of the pre-trained classifiers or making one from scratch, Aivia's machine learning approach gives you access to the full wealth of information contained within each object and measurement. You can even discover new phenotypes in your data with Novelty Detection.

Machine Learning Object Classifier

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