Visual Laboratory Workflows: How They Work & Why You Need One
For the modern laboratory, workflows require translation to software in order to become functional systems. But representing lab workflows can be difficult.
Blog | Insights On Lab Informatics & Workflow Optimization
How to Move Fast Without Sacrificing Control in Laboratory Systems
Many laboratories face a constant challenge: balancing the need to move quickly while managing the risks associated with the system changes. The question is: how can labs evolve their systems quickly without losing control?
Top Trends Driving LIMS Transformation: What to Expect in 2026
While LIMS needs vary across diagnostics, gene therapy, manufacturing, development, and more, one theme cuts across all of them: expectations for how informatics software should look, feel, and function are changing fast.
Making Execution the Record: A Structural Approach to LIMS Compliance
For decades, laboratories have relied on audit trails as the backbone of compliance. In audit trails, every change is logged, every action is timestamped, and every user is recorded. But when something goes wrong or scrutiny intensifies, audit trails often fall short.
5 Most Common Lab Errors & What Causes Them
Even the most advanced laboratories are not immune to mistakes. In environments where accuracy is everything, a single misstep can compromise data integrity, delay results, and damage trust. While errors can’t be eliminated, understanding their root causes and how to prevent them is vital to maintaining quality and compliance.
LIMS vs ELN: What's The Difference & How To Choose
A common question in the world of lab informatics is: What’s the difference between a Laboratory Information Management System (LIMS) and an Electronic Lab Notebook (ELN) – and which do I need?
Beyond Features: Why Database Architecture Matters In LIMS Selection
When evaluating a Laboratory Information Management System (LIMS), the focus often falls on features, user experience, and configurability. However, a foundational element that’s frequently overlooked is the platform’s underlying database architecture.
Labbit’s Evolving Vision: A Conversation With Semaphore CEO, Peter Smith
From the outset, Labbit was designed to address the most frustrating challenges labs encounter when adopting informatics systems.
10 Life Science Trends To Watch In 2025
The life sciences industry is undergoing a significant shift in 2025, with a plethora of new trends adopted by pharma, biotech, and clinical diagnostics labs.
Not All APIs Are Created Equal: Why API Strength Matters In LIMS
In today’s digital lab environment, seamless connectivity between software systems and instruments is essential.
Legacy Software Imposes Significant Challenges On Labs & Evolving LIMS
Laboratory and technical leads face a number of complex challenges when changes to an existing process are required.
Future-Proofing Your Lab & LIMS
For laboratory and technical leads who want to future-proof their business with a solution that is more agile, scalable, and usable, we propose considering the following actions.
What Is Data Provenance & Why Is It Important?
In laboratories, there’s a pressing need for data provenance—tracing the origin and changes over time of critical data.
Lab Inventory & Sample Management: Enhancing Lab Operations
Sample management and inventory management are two essential but distinct processes that labs use to stay organized.
Validation Deconstructed: Navigating IQ, OQ, CQ & PQ
Computer System Validation (CSV) is a process that organizations, particularly those in industries where there is a potential risk to the public.
What Is Lab Automation? Examples & Key Benefits
One of the most transformative technological advancements for laboratories in the last decades is lab automation.
Lab Informatics Tech Debt: How To Manage & Minimize It
Technical debt (tech debt) is the hidden cost of quick fixes and short-term decisions in software development.
What Is FAIR Data? 7 Key Steps To Make Your Lab Data FAIR
Data is the lifeblood of scientific breakthroughs—but is your lab making the most of yours?Modern laboratories across life science disciplines generate massive amounts of data every day. Yet, due to disconnected systems and inefficient data management strategies, much remains siloed, underutilized, or even lost.
Labs Of Tomorrow: AI’s Role In Automation, Efficiency & Breakthroughs
The emergence of artificial intelligence has sparked growing enthusiasm and vigorous debate regarding its potential to transform entire industries.
Why A Graph Database Is A Better Choice For Laboratory Software
Every lab that uses software like a laboratory information management system (LIMS) is using a database to store and access lab data.