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Segmentation is an integral step of any bioimage analysis workflow, which involves delineating areas or objects of interest within an image 1 . All the measurements performed on the image, e.g. size, shape, counts, or pixel intensities are then assigned to these segmented areas or objects to...

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...

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...

Pearl V. Ryder In the previous post in this “Thinking like an image analyst” series, I explained how I enhanced fibers to increase their brightness and applied a background subtraction to decrease the intensity of the background. In combination with masking out very bright debris pixels ( Part II of...

Nasim Jamali As creators of open source tools, we spend a lot of time thinking about user needs - what kinds of images people are working with these days, what tools are working well, where the pain points are, and how easy it is to learn how to do any of this in the first place. While things like...

Rebecca Senft Workflow update June 2024 update Our recommended normalization workflow is evolving. Please see https://github.com/broadinstitute/jump-profiling-recipe/ for our latest developments on the normalization strategy in specific and aprofiling workflow in general. How to Normalize Cell...

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...