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Minh Doan Have you ever stumbled across some amazing data visualization tools that run entirely on a web browser (such as this and many others), and wished you could plug in your own data and visualize it? Or, as a biologist, you may know of a good analytic tool, but it either costs too much...

Kyle Karhohs Now that CellProfiler can handle 3D images, how do you view the results? When processing 2D images, the IdentifyPrimaryObjects module will produce a figure that displays the original image next to the segmented image to make validation fast and convenient, a side-by-side comparison...

Kyle Karhohs Joining forces CellProfiler is capable of accurate and reliable segmentation of cells by utilizing a broad collection of classical image processing methods. Peruse the documentation on the IdentifyPrimaryObjects module, for example, to get a sense of these, e.g., thresholding...

Beth Cimini Defining the input to CellProfiler can be the hardest part of getting your pipeline set up and your analysis underway. Incoming images are configured in the first 4 modules of CellProfiler – Images, Metadata, NamesAndTypes, and Groups – which offer lots of flexibility. But it’s sometimes...

Anne Carpenter So you already know how to put together an image analysis pipeline to measure particular phenotypes of interest? Great! Have you ever considered looking for the unexpected? Say you are comparing two treatment conditions, such as a negative control vs. a hormone treatment. You may have...

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 modernise the application. We’ve also focused on improving performance and usability. Along with...

Beth Cimini Hi all, We hope you’re enjoying our new CellProfiler 4.1 release! If you haven’t had a chance to see it yet, please do grab a copy from https://cellprofiler.org/releases. There are a few new features or changes of note we’re particularly excited to share with you all: For the first time...

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 fibers in order to increase their brightness and decreased the background intensity of the images. If you...

Melissa Gillis Segmenting fibers using traditional cell segmentation software can be challenging. Because most biological cell segmentation tools were designed for cells, most programs have difficulty identifying and distinguishing longer and thinner objects such as fibers. Also, unlike cells...

When you are new to the coding world, a lot of new information can be overwhelming. Staying organized might help ease the learning process. This blog post is about simple ways to organize your Jupyter notebooks to make them more reproducible and user-friendly. First, let me begin by introducing the...