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Announcing CellProfiler 3.1.9

Beth Cimini Hello all! It’s been a crazy last few months for the CellProfiler team, as we’ve been hiring some new members to the team and working hard on the transition to Python 3, which will bump us into CellProfiler version 4. Keep your eyes peeled for exciting content in the future! We did want...

Annotating Images with CellProfiler and GIMP

Kyle Karhohs Annotated image data is valuable for assessing the performance of an image processing pipeline and as training data for machine learning methods such as deep learning. When assessing the performance of a CellProfiler pipeline, for example a pipeline that segments nuclei, the annotated...

CellProfiler 3.0 release: faster, better, and 3D

Anne Carpenter We are thrilled to announce that CellProfiler 3.0 is now released! Download it here. Eighteen months in the making, this is the first version of CellProfiler that can identify objects in 3D images volumetrically – the result of a collaboration with the Allen Institute for Cell Science...

Quantifying microscopy images: top 10 tips for image acquisition

Anne Carpenter Not every image you capture on your microscope is suited for quantification, no matter how nice they may look. Even though you might not notice any problems by eye, the tips outlined here for acquiring and storing images can improve the quality of data derived from digital image...

Help! Why do my output images seem all black?

Beth Cimini Double clicking on the output images produced by CellProfiler sometimes opens up a screen in your operating system’s default image viewer that looks all black. This can make it seem like your pipeline didn’t work or didn’t produce the right output. However, this can happen for a couple...

Be a Histology Hero with CellProfiler

Minh Doan Thanks to the rapid advancement in image processing, we now have so many techniques to characterize cellular and subcellular objects (hooray CellProfiler!) Measuring cultured cells in monolayers is (usually) easy…but what about examining how cells interact with each other and their...

CellProfiler 4.0 Release: Improvements in speed, utility, and usability

David R. Stirling We have now released CellProfiler version 4.0! Download it here. The primary goal of this release has been to migrate CellProfiler from Python 2 to Python 3. This has involved extensive restructuring of the code base, leading to a lot of “under-the-hood” improvements. Important...

Thinking like an image analyst, Part I: Project overview and data import

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 blog posts, my goal is to share how I approached an image analysis project that I recently undertook as...

Creating a Cloudwatch Dashboard to Monitor Distributed CellProfiler Runs

by Erin Weisbart This explains how to set up a Dashboard in Amazon Web Services (AWS) Cloudwatch, which widgets we find most helpful for monitoring Distributed CellProfiler (DCP) runs in our Cloudwatch Dashboard, and what you might learn from each widget. AWS Cloudwatch Dashboards are “customizable...