Blog

Announcing CellProfiler 3.1

Beth Cimini

I’m excited to announce the release of CellProfiler 3.1.

Our focus for CellProfiler 3.1 was polishing features and squashing bugs introduced in CellProfiler 3.0. We also started laying down the foundation for our next release, CellProfiler 4.0, that will transition CellProfiler from Python 2 to Python 3, improve multiprocessing, and overhaul the interface.

There’re a few noteworthy changes that some users might enjoy like UTF-8 pipeline encoding, a simpler application bundle (that won’t require installing...

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Tracking projects with Gmail tags: Collaborating through email

Anne Carpenter

As the PI of the Carpenter lab (a.k.a. Broad Institute Imaging Platform, including the CellProfiler team), people often ask how I manage so many ongoing collaborations: we discuss 50+ external projects each year so it is a lot to track! I am happy to reveal our secrets.

The goal


First, let me describe the problem we are trying to solve: we need a way/place to post project updates, raw data, and emails about a given project, so everyone in the lab can have access to info (most...

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The CellProfiler 2 User’s Guide to CellProfiler 3.0, Part I: Using the new Test Mode

Beth Cimini

Everyone here at the CellProfiler team is very excited about our new 3.0 release, and we certainly hope you are too!  CellProfiler 3.0 is much faster than any of our previous releases, and the addition of volumetric processing is a huge game changer.

CellProfiler 3.0 looks pretty similar to what you’re used to, albeit a bit sleeker than previous versions. While most of it still behaves exactly how you’re used...

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The CellProfiler 2 User’s Guide to CellProfiler 3.0, Part II: Converting your pipelines

Beth Cimini

For those of you who’ve been with us for a long time though, the obvious next question after how to use the new test mode is will my old CellProfiler pipelines work in the new version? We feel the same way – the pipelines you’ve accumulated over the years are precious resources!  The good and bad news is that the answer is Yes, mostly. In order to facilitate the...

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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 who funded the project together with NIH. If you’ve not yet seen it, the Allen Cell Explorer is a real visual and biological...

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Z-score big! A game plan for image-based profiling

Juan Caicedo

As described in our lab’s recent review article, there are so many great reasons to use microscopy images to create signatures of perturbations: identifying phenotypes associated with disease, identifying chemical mechanisms of action, and discovering gene functions, among others. Have you wanted to give this approach a try, but been overwhelmed by the computational options available?

Our recent paper, ...

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Mo Data, Mo Problems: How to share big data with ease

Kyle Karhohs

# Sharing Image Data

At the Imaging Platform we frequently need to send and receive images between collaborators or forum users. Working with images can become challenging simply due to their file size. Memory and disk limitations are often irritants when analyzing images, but in some cases, such as multi-dimensional images and whole-slide scans, images’ file sizes can be large enough that even accessing images becomes a major roadblock, especially when the size starts to rival the size of desktop or laptop hard...

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A Quantitative Path to Pathology

Guest Author

This post was written by a guest author, Kun-Hsing Yu, who can be reached at Kun-Hsing_Yu@hms.harvard.edu. 

Lung cancer causes more than 1.4 million deaths per year. To diagnose lung cancer, pathologists prepare microscopic slides from surgical or biopsy samples, stain them with appropriate chemicals, and observe the visual patterns of cell morphology under the microscope. This manual (and often laborious) approach is the gold standard for lung cancer diagnosis and...

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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 analysis. These tips are a bit CellProfiler-centric but generally applicable to any quantification you might do.

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