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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...

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...

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...

Fernanda Garcia-Fossa & Anne Carpenter In a typical quantitative microscopy experiment, biologists choose fluorescent biomarkers and measure particular features (that is “metrics”) that they hypothesize will be perturbed in their samples. But in image-based profiling, you aim to let the cells tell...

Guest Author This post was written by a guest author, Kun-Hsing Yu, who can be reached at Kun-Hsing_Yu@hms.harvard.edu. Lung cancer causes more than 1.4 million deaths per year. To diagnose lung cancer, pathologists prepare microscopic slides from surgical or biopsy samples, stain them with...

Beth Cimini Hello all! It’s been a crazy last few months for the CellProfiler team, as we’ve been hiring some new members to the team and working hard on the transition to Python 3, which will bump us into CellProfiler version 4. Keep your eyes peeled for exciting content in the future! We did want...

Jeanelle Ackerman You’ve earned degrees, authored papers, mentored supervisees, and traveled far and wide to speak about your work… And ideally it’s nicely showcased in your resume or curriculum vitae (CV), all updated and ready to go. But, if you’re like most academics, your CV is a sorely outdated...

Kyle Karhohs Annotated image data is valuable for assessing the performance of an image processing pipeline and as training data for machine learning methods such as deep learning. When assessing the performance of a CellProfiler pipeline, for example a pipeline that segments nuclei, the annotated...