Blog

Pearl V. Ryder

In the previous post in this “Thinking like an image analyst” series, I explained how I enhanced fibers to increase their brightness and applied a background subtraction to decrease...

Pearl V. Ryder

In the previous blog post in this series, I demonstrated how I masked out debris that was brighter than the fibers of interest. In this post, I’ll walk through how I enhanced the...

David R. Stirling

Hi everyone,

Today we’re releasing the RunCellpose plugin for CellProfiler 4! This plugin is designed to allow you to use the popular Cellpose segmentation algorithm to generate...

Pearl V. Ryder

In the first post of this series, I gave an overview of this project and explained how I imported the data into CellProfiler. If you’d like to follow along in CellProfiler, the...

Pearl V. Ryder

One thing I’ve found very helpful in my journey as an image analyst is learning from others by observing their thought process when they tackle a new problem. In this series of five...

Pearl V. Ryder

The Robust Background algorithm is a powerful algorithm for automatically setting thresholds to segment objects of interest when your image contains mostly background. However...

Alice Lucas

We’re delighted to release Piximi Annotator, a new image annotation tool that we built to be easily accessible, easy to use, yet with a full complement of annotation tools to allow for...

David R. Stirling

Hi all,

We’ve now released CellProfiler 4.2! You can download it from https://cellprofiler.org/releases. 

We have a few new features and improvements in this release. There have...

Beth Cimini

Cross posted from our GitHub wiki — check there for any future updates!

Running CellProfiler from the command line has a major advantage — you don't need to spend computational power or...

David R. Stirling

We have now released CellProfiler Analyst version 3.0! Download it here.

As with CellProfiler 4, the primary goal of this release has been to migrate from Python 2 to Python 3 and...