Nuclei Tracking (ImageJ)

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Type
Workflow
Author
Bäcker, Volker
Requires
ImageJ
Execution Platform
Linux
Mac
Windows
Implementation Type
plugin
Programming Language
ImageJ Macros
Supported image dimension
3D
time-series
Interaction Level
Automated
License/Openness
Free and open source
has function
Object tracking
has biological terms
nuclei
nucleus
Entry Curator
czhang
Post date
02/26/2019 - 16:30
Last modified
05/24/2023 - 18:04
Workflow steps
Step 1: Run Gaussian Blur
Gaussian Blur 3D (ImageJ)
Image denoising
Step 2: Threshold smoothed image
Thresholder (ImageJ)
Image segmentation
Step 3: Run Watershed on binary mask
Watershed (ImageJ ij-1.52i)
Object detection
Step 4: Run Minimum
ImageJ
Image processing
Step 5: Run connected component labeling
MorphoLibJ
Object counting
Step 6: Run Maximum
ImageJ
Object detection
Step 7: Run ultimate points
ImageJ
Object detection
Step 7: Multiply images
ImageJ
Object detection
Step 8: tracking
ImageJ Macro
Image processing
Download Page
Neubias BIAFLOWS workflow of nuclei tracking with ImageJ
has comparison
BIAFLOWS-PROBLEM: NUCLEI-TRACKING-DIVISION