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Anne Carpenter Biologists are coming up with more and more complex physiologically-relevant assay systems and scaling them up for screens. From co-cultured cells to C. elegans to 3D organoids and tumor spheroids, these assay systems can be challenging, expensive, lower-throughput, and/or rely on...

Beth Cimini There’s nothing more exciting than getting back a big batch of data from your automated microscope – finally, you have the results of your screen, your timelapse, or whatever you’ve spent the last weeks or months preparing. That excitement can turn to sadness quickly though when you...

David R. Stirling We’ve all done this before – CellProfiler Analyst needs a database file, but your CellProfiler pipeline that took days to run was set up to export spreadsheets. To make matters worse, you also need a .properties file explaining what to do with that database. Fortunately, you don’t...

David R. Stirling Hi all, We’ve now released CellProfiler 4.2! You can download it from https://cellprofiler.org/releases. We have a few new features and improvements in this release. There have been numerous smaller bug fixes, but the key changes are as follows: We’ve fixed an issue which was...

Docker is discussed in the bioimage analysis world a lot these days. But what are dockers? How does Docker make life easier? In this blog post, I will try to explain the basics of docker and why it matters to biologists. Have you ever faced package dependency issues when creating Python environments...

Barbara Diaz-Rohrer If you are working with single-channel images, you can just drag a few images into CellProfiler and start making your pipeline. Most of us, however, have images with multiple channels or more complex image metadata that you need to tell CellProfiler how to identify.The tutorial...

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...