Cell Imaging Software Module

AI cell analysis offers streamlined solutions for your research projects. Simplify the complexity of classifying live versus dead cells using artificial intelligence (AI)-driven image analysis - with no need for labels. Incucyte® AI Cell Health Analysis Software provides a powerful workflow that supports your entire research team.

The Incucyte® AI Cell Health Analysis Software Module is available to purchase for all S-series instruments and requires a GPU co-processor (BA-04870) installed as a drop-in hardware upgrade to the controller and 2022B software version. Optional further classification of cell populations based on label-free, or fluorescence parameters (fluorescence intensity within cell boundary) is available in this software module.

Software Overview

Artificial Intelligence (AI) in Live-Cell Analysis - Overview

Incucyte® analysis now makes use of AI technologies to process label-free images to identify and measure cells utilizing machine learning techniques and neural networks that produce:

Accurate and robust label-free analysis to determine live versus dead cells – no fluorescent dyes needed

Objective, repeatable results based on training sets containing millions of cells

Ever-expanding library of cell types and experiment scenarios

Simple workflow for all users – less input required

Incucyte® AI Cell Health Analysis, a neural network (pre-trained with validated datasets) informs a classification algorithm for accurate processing and quantification of live or dead cells. This AI-based classifier is applied to all wells and timepoints, providing robust, segmented data and visualization of live or dead masks.