Open source and highly flexible versatile cross-platform utility designed from the ground up in order to analyze and qualify biological images #Image analysis #Image quantifier #Biology analysis #Biology #Analysis #Phenotype
Moreover, CellProfiler is designed for modular, flexible, high-throughput analysis of images, measuring a wide variety of properties from size, shape, and intensity to the texture of every cell (or other object) in every image.
Using the point-and-click graphical user interface (GUI), users construct an image analysis "pipeline", a sequential series of modules that each perform an image processing function such as illumination correction, object identification (segmentation), and object measurement.
Users mix and match modules and adjust their settings to measure the phenotype of interest.
While originally designed for high-throughput images, it is equally appropriate for low-throughput assays as well (i.e., assays of < 100 images).
What's new in CellProfiler 4.2.6:
- There are no changes to the functional CellProfiler codebase in this release compared to 4.2.5; the only changes are changes intended to make it easier to pip install CellProfiler by updating some pins that did not have wheels on some modern systems, and pinning at the top of their range packages whose updates break existing functionality. If you are using CellProfiler downloaded from our website, there is no need to update; these changes should only affect those installing via a local Python environment.
- PRs:
- Tighten some pins, loosen others by @bethac07 in #4801
CellProfiler 4.2.6
add to watchlist add to download basket send us an update REPORT- runs on:
- macOS 10.6.8 or later (Intel only)
- file size:
- 491.3 MB
- filename:
- CellProfiler-macOS-4.2.6.zip
6 screenshots:
- main category:
- Math/Scientific
- developer:
- visit homepage
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