概要
This skill provides a robust framework for parsing microscopy channel names from CHANNELNAMES.txt files, a critical step in bio-imaging pipelines like KINTSUGI. It automatically detects and processes multiple file formats, including simple CODEX-style lists, cycle-prefixed lines, tab-separated values, and CSVs. By utilizing intelligent regex patterns, it can extract cycle numbers directly from DAPI markers and handle common real-world data issues such as case-insensitive naming, varied whitespace, and comment-heavy files, ensuring accurate data labeling for downstream image analysis.
