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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...

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...

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...

Rebecca Senft With slide scanners and other automated, high-throughput microscopes becoming more and more common, it’s important to understand how to work with the large image files they produce. Whole slide file formats (e.g., .mrxs, .svslide, .svs, .vms) are often massive when uncompressed (>40 GB...

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...

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 first part of this blogpost I described some of the tools I tried to accurately segment collagen IV fibers including, CellProfiler, Cellpose, and Piximi. Unfortunately none of these methods were successful in accurately segmenting the fibers so I decided to develop a machine...

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...

Mario Costa Cruz If you have color images stained with light-absorbing dyes, the UnmixColors module might be able to separate the dyes into separate channels so that they can be analyzed separately. Separating the dyes into channels can be a difficult task with traditional methods such as split...

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...