QuPath
0.5
Full contents:
Introduction
Getting started
Tutorials
Projects
Separating stains
Detecting tissue
Measuring areas
Cell detection
Cell classification
Density maps
Exporting measurements
Multiplexed analysis
Pixel classification
Superpixels
Concepts
Scripting
Deep learning
Advanced
Reference
QuPath
Tutorials
View page source
Tutorials
Projects
Create a project
Working with projects
Separating stains
Fluorescence images
Brightfield images
Detecting tissue
Thresholders in QuPath
Thresholds in action
Adjusting parameters
Saving your thresholder
Creating objects
Measuring areas
Define the region of interest
Threshold stained areas
Viewing measurements
Generating results
Cell detection
Annotate a region of interest
Run
Positive cell detection
View cell-by-cell results
Analyze additional annotations
View results
Cell classification
Annotate the main region of interest
Run
Cell detection
command
View cell measurements (if you want)
Calculate additional features
Annotate regions containing different cell types
Train a cell classifier based on annotations
Save the classifier
Apply intensity classification
View the results
Density maps
Getting started with density maps
Customizing density maps
Using density maps
Exporting measurements
Via the measurement table
Via the Measurement Exporter
Via scripting
Multiplexed analysis
Before we begin…
Detect & measure cells
Create a classifier for each marker
Combine the classifiers
Making sense of it all
Pixel classification
Stained areas (again)
More complex classifications
Getting started
Improving the classifier
Knowing when to quit
Handling variation
Train from multiple images
Create a training image
Superpixels
Generating superpixels
Adding features
Training a classifier
Merging tiles