instrument-data-to-allotrope

To convert proprietary instrument output files to Allotrope JSON for LIMS ingestion, the skill auto-detects the instrument type from file contents and validates the output against official Allotrope schemas. It processes formats like PDF, CSV, and Excel into standardized JSON.

The best way to parse spectrophotometer and plate reader data into a standardized format is using a tool that auto-detects the device and converts the raw output into Allotrope Simple Model JSON or a flattened 2D CSV.

Yes, you can generate ready-to-use Python parser code for data-engineering pipelines. The skill creates exportable scripts that handle the conversion of instrument files to Allotrope JSON or CSV for downstream analysis.

Yes, the conversion process supports extracting tables from PDF reports through fallback parsing mechanisms. It handles unsupported formats and uses PDF table extraction to capture lab instrument data for conversion.

To validate converted lab data against official Allotrope schemas, the skill checks the generated Allotrope Simple Model JSON output and issues soft-validation warnings if the data does not strictly conform to the expected schema structure.

When auto-detection fails for an unsupported instrument file format, you should rely on the skill's fallback parsing feature. This mechanism attempts to extract data from raw files, including PDF table extraction, before converting to Allotrope JSON or CSV.