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Making it easy to share the CRediT on your collaborative research projects

Beth Cimini In the Imaging Platform, we tend to work on a lot of big, complicated projects , with a lot of moving pieces and sometimes collaborators in many countries! This is fantastic for science, but when it comes to writing a paper, it can make just gathering all the information about "who did...

New CellProfiler 4 Plugin: RunCellpose

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 object sets within a CellProfiler pipeline. Cellpose uses a neural network followed by post-processing...

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...

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...

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...

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