
Linking Instrument Files to LIMS Records
The raw file exists. The LIMS record exists. Connecting them is where most labs get stuck.
Insights
Practical notes on LIMS migrations, lab data engineering, and production machine learning.

The raw file exists. The LIMS record exists. Connecting them is where most labs get stuck.

How a high-throughput genomics lab moved from a self-hosted LabVantage and Oracle stack to QBench with zero downtime, five-figure annual savings, and CAP/CLIA-validated reporting.

Three architectures for making lab data queryable. Which one fits depends on what questions you're asking.

Query an on-prem LabVantage database with a read-only Python wrapper instead of Java extensions, so pipelines stay portable across Oracle and SQL Server.

Gemini in Workspace and Gemini Enterprise are different products with different capabilities. Here's what you can actually connect.

How a genomics lab stays CAP/CLIA validated across ad-hoc QBench releases with a full API regression suite and an audit PDF before each production update.

Copilot already sees your SharePoint. Getting it to see your LIMS and instrument data is a different problem.

ChatGPT Enterprise supports custom MCP apps. Here's how to connect it to lab data with proper controls.

Treat client data transfer agreements as a priced menu, so custom LIMS exports stop consuming unpaid engineering time.

Claude runs in Anthropic's cloud. Your LIMS and file shares don't. Here are the secure options that exist today.

A practical checklist for life science teams. Most AI projects stall not because the models are wrong, but because the data is unfindable.

Most labs have more dark data than they realize. Here's where to look and how to find it in a week.

A digital pathology partner needed a regular count of samples stained with a given assay, and which analysis was paired with it. The answer lived in three systems.

The 5 D's of lean agent development, so you only break ground on an idea once you know the bet is worth making.

When a Bioinformatics researcher starts a new project, one of the first significant Computer Science decisions they need to make is picking a programming language.The R and Python programming language

Mastering ML Ops: A Blueprint for Success