Deconvolution Intensity Scaling

About

This skill provides specialized guidance for the KINTSUGI deconvolution module to prevent pixel saturation and maintain relative intensity ratios between channels. It fixes common errors where weak signals are artificially inflated to the 16-bit maximum (65535), which typically leads to inverted channel ratios and broken quantitative marker analysis. By implementing raw-max preservation scaling, this skill enables researchers to perform accurate biological interpretations and comparative intensity measurements after image processing.

Key Features

• Prevents artificial pixel saturation at the 16-bit limit
• Provides a diagnostic checklist for verifying deconvolution output
• Preserves quantitative channel intensity ratios for marker analysis
• Eliminates mean intensity inflation in weak signal channels
• 0 GitHub stars
• Optimizes scaling logic for CuPy GPU-accelerated pipelines

Use Cases

• Preventing artificial clipping in bright regions of 16-bit microscopy images
• Standardizing quantitative marker expression analysis across multi-channel datasets
• Fixing inverted DAPI-to-marker intensity ratios after deconvolution