Detecting nuclei and cells (Machine Learning)

Introduction

This guide explains you how to detect nuclei and cells using the pipeline with the Machine Learning Segmenter operation. Machine learning (ML) is a branch of Artificial intelligence (AI) in which, based on the training dataset that are first provided, the computer develops its own logic for answering future questions. The key concept of machine learning is to produce accurate predictions on new unseen data after being trained on a finite learning dataset.

Workflow

Diagram showing 'ML Training' arrow to 'Machine Learning', 'ROI selection' arrow above, and 'Export data (optional)' below.

Activating the Sample Pipeline

In the Shortcut Toolbar, click Analysis Panel .
In the Sample Pipelines list, double-click the Detect Nuclei And Cells Using Machine Learning Pipeline.
If you have activated a pipeline, it will be replaced by the new one.

You can open the appropriate How to guide. By hovering over a pipeline, this button Analysis Panel button in Shortcut Toolbar is displayed. When clicking on it, the option Open How to appears.

Detecting nuclei and cells (Machine Learning)

Introduction

Workflow

Activating the Sample Pipeline

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