Weighted Autofluorescence Subtraction

This skill implements an advanced multi-range weighted subtraction algorithm specifically designed for high-resolution multiplex immunofluorescence (IF) imaging. Unlike traditional global subtraction methods that often erase dim but critical markers such as FOXP3 or CD163, this tool segments image intensity into discrete ranges and applies dynamically calculated weights. By utilizing cosine transitions for smooth blending and signal-to-AF ratio analysis, it aggressively removes bright autofluorescence from structures like collagen while protecting low-intensity positive cells, ensuring higher data fidelity for downstream spatial analysis and cell phenotyping.

Key Features

Use Cases