The story of ITCN serves as a testament to the power of innovation and collaboration in the scientific community. By developing and sharing tools like the ITCN ImageJ Plugin, researchers can accelerate discovery and push the boundaries of human knowledge.
| Metric | Manual (expert) | ITCN (optimized) | Analyze Particles | |--------|----------------|------------------|--------------------| | Time per image | 3–5 min | 3–5 sec | 2 sec | | Accuracy vs. manual | – | 94–97% | 62–78% (fails on clusters) | | Repeatability (CV, n=5) | 4–8% | 1–2% | 15–30% | | Handling of clusters | Excellent | Good (width tuning) | Poor |
: As an ImageJ plugin, ITCN seamlessly integrates with the ImageJ ecosystem, allowing users to leverage other ImageJ tools and plugins for image processing, analysis, and visualization.
Itcn — Imagej Plugin
The story of ITCN serves as a testament to the power of innovation and collaboration in the scientific community. By developing and sharing tools like the ITCN ImageJ Plugin, researchers can accelerate discovery and push the boundaries of human knowledge.
| Metric | Manual (expert) | ITCN (optimized) | Analyze Particles | |--------|----------------|------------------|--------------------| | Time per image | 3–5 min | 3–5 sec | 2 sec | | Accuracy vs. manual | – | 94–97% | 62–78% (fails on clusters) | | Repeatability (CV, n=5) | 4–8% | 1–2% | 15–30% | | Handling of clusters | Excellent | Good (width tuning) | Poor | itcn imagej plugin
: As an ImageJ plugin, ITCN seamlessly integrates with the ImageJ ecosystem, allowing users to leverage other ImageJ tools and plugins for image processing, analysis, and visualization. The story of ITCN serves as a testament
