Engineering Notes

Every Laboratory Has Constraints. The Best Investment Is Finding the Right One. Every laboratory operates withi constraints. Budget, throughput, available space, staffing, existing infrastructure, quality requirements, regulatory expectations, data, technology maturity, and supplier relationships all influence what a laboratory can realistically implement. These constraints are not necessarily problems to eliminate. They are part of the system, and understanding them is one o

Before You Automate, Understand the Laboratory Workflow Laboratory automation is not always the first solution. Understanding the workflow is. In modern laboratories, automation is often presented as the answer to throughput, consistency, and operational efficiency. But automation does not automatically solve an inefficient process. If the underlying workflow contains unnecessary steps, bottlenecks, excessive handling, poor information flow, or unclear process ownership, auto

Speed Is Not Capacity. Stability Is. Speed is easy to measure. Useful capacity is harder. In laboratory and manufacturing environments, increasing throughput can appear straightforward: increase machine speed, reduce cycle time, or process more units per hour. But higher speed does not necessarily create more useful output. A process can run faster and still produce less if that additional speed creates more stops, variation, rework, rejects, or operator intervention. Through

Automation Isn’t Expensive. Solving the Wrong Problem Is. Conversations about laboratory workflow automation often start with equipment. We think they should start with the workflow. When something isn’t performing as expected, it’s tempting to assume the answer is more technology. Sometimes it is. But sometimes the real bottleneck is a handoff. A manual step. A scheduling issue. Or simply the way the process was designed. Before selecting a technology, it helps to understand

When should a laboratory automate? A laboratory doesn't buy automation because it's impressive. It buys automation because the cost of staying manual becomes higher than the cost of changing. That threshold is different for every laboratory. Understanding where that tipping point exists, and what drives it, is far more valuable than assuming every lab needs the same solution. That is the real goal of laboratory automation. Explore how COLOMBA Biomedical approaches laboratory