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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, since it contains the largest number of tunable parameters of any thresholding algorithm in CellProfiler, it...

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 memory creating the graphical user interface (GUI) that you're used to using in CellProfiler! It also...

Hi all, Due to issues with pip installation with CellProfiler on some platforms, we have released a version 4.2.6 with slightly updated dependency pins. If you are using the CellProfiler 4.2.5 application downloaded from our website, there is no need for you to update - 4.2.6 contains no changes to...

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Beth Cimini One of the most common questions I’m asked when helping a collaborator with an image analysis project is: “How do I know when my analysis workflow is doing well enough at finding the objects or measuring the things I care about?” Unfortunately, it’s also one of the hardest questions to...

Anne Carpenter Clearly communicating the impact of your research is one of the most important skills you need to develop as a scientist, and yet typically it is only taught by doing (and if you are lucky, feedback – especially critical feedback). Clear communication is important to get funding and...

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...

Beth Cimini It can be confusing when you’re trying to set up your first pipeline to figure out which modules to use to generate your objects! A helpful way to understand the difference between Identifying Primary, Secondary, and Tertiary objects: Primary objects are segmented independently from any...

Melissa Gillis In the previous two sections of this blogpost I explained how I analyzed multiple methods to segment fluorescent images of collagen IV fibers, and generated accurate segmentation using an ilastik machine learning model. In this section I will explain how I constructed a CellProfiler...

Melissa Gillis In the final section of this blogpost series, I will discuss some of the benefits and drawbacks of this model and discuss some of the data I acquired from the images. This model was able to successfully segment the images that were not able to be accurately segmented by Pearl’s...