Lab Automation: Which Processes Pay, and Which Ones Do Not
A category built on optimism deserves a sceptical test. Three conditions decide whether a process is worth automating, and knowing which of yours qualify is the whole exercise.
Category
Lab Automation & Innovation
Automation and smart technologies are revolutionizing laboratory work. In Lab Automation & Innovation, LabLynx examines how AI, machine learning, robotics, predictive quality control, and advanced analytics are reshaping labs across industries. Content includes real-world applications of AI-driven pharma LIMS, robotic sample processing, self-optimizing workflows, and the integration of IoT sensors with LIMS/ELN platforms. These forward-looking articles help lab directors evaluate emerging tools, calculate ROI on automation investments, and prepare for the next wave of lab digitization—turning manual processes into intelligent, high-throughput systems.
Items in this category
Showing 10 of 17 items
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Environmental Lab Innovations: Leading the Way to a Sustainable Future
Sensors, eDNA, high-resolution mass spectrometry, robotics and cloud platforms are changing environmental testing. Here is what each shift means for labs.
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AI-Driven Pharma LIMS Analytics: Transforming Lab Data Into Actionable Insights
Where AI adds value on top of a pharma LIMS, turning sample and production data into trend detection, prediction and faster decisions in R&D and QA.
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Predicting Machine Failure in Gold Mining with AI-Powered Oil Analysis: A Game Changer for Operational Uptime
Using lubricant analysis and pattern models to catch transmission and hydraulic failures before they stop haul trucks, drills and processing plants.
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How LabLynx Is Revolutionizing Used Oil Analysis with AI: A Smarter, Faster Path to Tribology Insights
Pairing tribology expertise with a private AI model trained on your own lab data and rules, so used oil reports move faster without losing judgment.
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No Downtime, No Guesswork: How Self-Maintaining Labs Are Reshaping Science
Five pillars of a lab that runs itself: predictive maintenance, automated reagent management, AI workflow tuning, environmental controls and data integrity.
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Innovations Unveiled at SLAS 2025: The Future of Lab Automation
Highlights from the show floor: AI-driven sample routing, liquid handling robots, cobots, cloud and IoT-connected systems, and digital twins for lab workflows.
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Upgrade Your Lab: How Investing in Cutting-Edge Instruments Drives Efficiency and Innovation
The case for replacing aging instruments: accuracy drift, throughput limits, data integration, and the automation, AI and remote monitoring newer models bring.
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Real-Time Monitoring and Data Collection: Revolutionizing Laboratory Operations with IoT
Connected sensors tracking temperature, humidity and equipment health in real time, with the payoff in anomaly detection, uptime and compliance records.
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Leveraging Dashboards and Data Visualization in LIMS for Smarter Lab Decisions
What dashboards do inside a lab system, which metrics belong on them, and how visual reporting speeds up sample, quality and resource decisions.
