The customer is both knowledgeable in their field and technically capable. Strong Python scripting skills and great ideas.
The challenge is to collate data from multiple long files being generated by this instrument, perform calculations, validate the data, upload it to the sample and attach graphs generated on the fly without any manual intervention.
How will we solve this?
We need to write a Python script for our Bridge module that ingests the files and then calculates averages based on the raw data from the instrument.
Then we can load the customer’s own Python script into the QLIMS Bridge to generate the graphs. Our own script can attach the graphs as attachments to the relevant sample records.
Problem solved, fully automated solution!
We know the technical capability of the bridge, but we learn more and more with each implementation of the power in real-world laboratory scenarios.
