Laboratory Information management software

Veterinary diagnostics is becoming increasingly data-driven, with laboratories managing everything from clinical records and diagnostic results to genomic data and client information. While this data supports better animal health outcomes and research, it also introduces growing risks related to cybersecurity, data privacy, and regulatory compliance.

With veterinary labs facing thousands of cyberattacks each year, safeguarding sensitive data is no longer optional—it is a critical component of laboratory operations and client trust.

In this blog, you’ll learn:

The expanding data landscape in veterinary diagnostics

Key technology risks in veterinary diagnostics

Best practices for strengthening veterinary lab data security

How a modern LIMS strengthens data security and privacy

As cannabis and hemp products continue to move into mainstream markets, the focus on product safety is shifting beyond traditional contaminants. One emerging concern that laboratories cannot afford to ignore is PFAS—commonly known as “forever chemicals.” While PFAS testing is not yet widely required in cannabis regulatory frameworks, growing scrutiny from environmental and public health agencies signals that this may soon change.

In this blog, you’ll learn:

Why PFAS is gaining regulatory attention across agriculture and food systems

The analytical challenges laboratories may face in detecting PFAS

Practical steps labs can take now to prepare for potential future testing requirements

How a LIMS supports complex PFAS testing workflows and potential regulatory readiness

As regulatory expectations evolve, laboratories that take early steps to strengthen their analytical capabilities and data infrastructure will be in a stronger position to adapt—without disruption.

Clinical diagnostic and research labs, biobanks, and business associates of these laboratories routinely handle protected health information (PHI) of patients. Protecting this data is not just good practice; it is a legal requirement under the Health Insurance Portability and Accountability Act (HIPAA).

As laboratories adopt digital systems and process larger volumes of PHI, maintaining HIPAA compliance is becoming increasingly complex.

Read our blog to get answers to these questions and more:

What is HIPAA and what are the key HIPAA requirements for laboratories?

Which laboratories must comply with HIPAA, and what are the penalties for HIPAA non-compliance?

What are common compliance challenges and best practices for HIPAA compliance?

What should you look for in a HIPAA-compliant LIMS?

Read the blog to find out if your lab is truly HIPAA-compliant or if it is at risk of regulatory pitfalls.

Food testing laboratories are entering a new phase — one where speed, traceability, and predictive oversight matter as much as analytical accuracy. Artificial intelligence (AI) is gradually reshaping how contaminants are detected, how risks are anticipated, and how decisions are made. But the real question is — Is your lab ready for AI adoption?

In this blog, we explore:

How AI and automation are redefining what’s possible in modern food testing

The hidden barriers that quietly limit AI adoption and scalability

How a modern LIMS provides the strong data foundation AI needs to function reliably

Microbial fermentation has become a central engine of industrial biotechnology, powering production of enzymes, bio-based chemicals, alternative proteins, and sustainable materials. As fermentation workflows grow more data-intensive and scale from bench to pilot to production, laboratories face increasing pressure to manage strain lineage, batch traceability, analytical outputs, and regulatory compliance in a structured and reproducible way.

In this blog, we explore:

What microbial fermentation is and how different fermentation strategies work

Key microorganisms and expanding industrial applications

Technological advancements reshaping modern fermentation research

How a LIMS enables biotech labs to overcome operational challenges and build scalable, data-driven fermentation workflows

Clinical diagnostic laboratories operate under increasing regulatory scrutiny—and with major CLIA updates taking effect in 2024 and 2025, staying compliant now requires robust preparation. CLIA sets the federal standards that ensure laboratory testing on human samples in the U.S. is accurate, safe, and trustworthy .

In this blog, you’ll learn:

CLIA basics – What it is, why it matters, test categorizations, and certificate types.

Certification process – Application steps and recent regulatory updates.

Compliance readiness – Practical strategies and tools to prepare for CLIA certification.

Do you have the right tools to prepare for CLIA certification? Read the blog to find out.

Food safety has entered a prevention-first era. With the Food Safety Modernization Act (FSMA), laboratories and food manufacturers are now expected to demonstrate continuous preventive control, traceability, and inspection readiness—long before an FDA investigator arrives.

In this blog, you’ll learn:

What FSMA is, how its rules apply to food testing laboratories, and recent FSMA updates

The LAAF program requirements and when LAAF-accredited testing is mandatory

8 Tips to prepare for an FDA inspection

How a modern LIMS supports FSMA compliance and FDA inspection readiness

Medical cannabis has moved firmly into the realm of regulated medicine, with patients, clinicians, and regulators now expecting pharmaceutical-grade safety, consistency, and transparency. Behind every trusted product is a laboratory navigating complex, fast-changing regulatory demands across the U.S. and Europe.

In this blog, you’ll learn:

Why medical cannabis testing is so challenging

The real pain points in cannabis testing across the U.S. and Europe

How a LIMS helps medical cannabis testing labs address these pain points

Environmental testing laboratories are generating more data than ever before—driven by stricter regulations, advanced instrumentation, higher testing volumes, artificial intelligence, and growing scrutiny from regulators and clients alike. As data volumes rise and compliance expectations become stringent, many labs are finding that manual tools and disconnected systems are insufficient to support reliable operations or audit readiness.

In this blog, you’ll learn:

What’s driving the surge in data complexity across environmental testing labs

The most common data management and compliance challenges labs face today

How fragmented systems increase risk during audits and reporting

Why a modern LIMS is essential for scalable, compliant, and efficient environmental testing

Genomics laboratories are generating data at a pace that legacy lab systems were never designed to handle. As sequencing throughput increases and regulatory expectations tighten, many labs are discovering that spreadsheets, disconnected tools, and generic LIMS platforms are limiting accuracy, traceability, and growth—rather than supporting them. Are you looking for a purpose-built genomics LIMS for your lab? If so, then this blog is a must-read.

In this blog, you’ll learn:

The role of a genomics LIMS in modern labs

Key features to look for in a genomics LIMS

How to choose the right genomics LIMS for your lab

Top 5 genomics LIMS platforms in 2026

Chronic kidney disease (CKD) is a rapidly growing global health crisis, often progressing silently until irreversible damage occurs. As researchers look beyond lifestyle factors, genetics is emerging as a critical key to understanding disease risk and progression — making robust data infrastructure essential for meaningful kidney disease research.

In this blog, you’ll learn about:

Various genetic disorders of the kidney and the role of genetics in both rare and common kidney diseases

How monogenic and polygenic factors shape CKD risk, progression, and outcomes

How biobanks enable genetic discovery and translational studies in kidney disease research

How a LIMS enables biobanks to offer high-quality, fit-for-purpose samples and well-annotated data for kidney disease research

Veterinary diagnostics is expanding at an unprecedented pace. As pet owners demand high-quality diagnostics and livestock operations rely on rapid, high-throughput testing to manage herd health and food safety, veterinary laboratories need to deliver faster results without compromising accuracy, traceability, or trust.

In this blog, you’ll learn:

The challenges veterinary labs face—from sample complexity and heterogeneous data integration to compliance and staffing requirements

Best practices for building a robust veterinary laboratory

Strategies and tools that help labs follow best practices with ease and deliver high-quality diagnostics

With rising pressure to move beyond food-based feedstocks, industrial biotechnology is accelerating its shift toward renewable, non-competing carbon sources. Ethanol has quickly emerged as one of the most promising options—simple, versatile, and increasingly economical. But unlocking its full potential requires more than metabolic engineering; it demands digital systems capable of powering high-throughput discovery and reliable scale-up.

Our latest blog explores the advances in microbial catalysis of ethanol, the bottlenecks slowing industrial adoption, and how industrial biotech labs can overcome them and use this alternate source of carbon to produce high-value products at scale to benefit the public.

In this blog, you’ll learn:

How ethanol is being repositioned—from fuel additive to a strategic carbon source for high-value bioproducts

The emerging microbial hosts and engineered pathways that are redefining ethanol assimilation

The hidden scientific and operational bottlenecks limiting commercial-scale ethanol biocatalysis

Why the next breakthroughs will depend on digital infrastructure—not just strain engineering

How a LIMS supports the data pipelines, workflows, and experimental rigor needed for ethanol biocatalysis R&D

As science advances toward precision medicine, large-scale genomics, multi-omics studies, translational research, and longitudinal cohort studies, biobanks have become indispensable. But today’s researchers expect far more than specimen storage—they need high-quality, well-annotated biospecimens while meeting compliance and ethical guidelines.

Our latest blog breaks down the evolving expectations researchers have from biobanks, the operational and regulatory challenges many facilities face, and how biobanks can meet the expectations of researchers and regulatory agencies while upholding quality standards.

Here’s a quick look inside:

What researchers really want from biobanks—and why sample quality is just the beginning

The hidden hurdles that make maintaining and managing large collections complex

Why data inconsistencies and governance challenges can slow scientific progress

How a modern biobank management system can streamline operations and enable biobanks to offer high-quality, well-annotated samples to researchers

Biobanks are evolving from storage facilities into dynamic research infrastructures. The question is: do you have the systems in place to meet the demands of modern researchers?

The mining industry is evolving faster than ever—driven by digitization, artificial intelligence (AI), and the growing demand for sustainability. As ore grades decline and costs rise, precision and data-driven decision-making have become critical for maintaining profitability and competitiveness.

Our latest blog explores how modern analytical technologies are redefining ore analysis—and how integrating them with a Laboratory Information Management System (LIMS) helps convert data into actionable intelligence.

Read this blog to learn:

How AI-driven insights are transforming ore grade predictions

How real-time sensors are redefining recovery and waste control

How advanced mineralogy methods are reshaping process optimization

The challenges in implementing modern ore analysis technologies

Plus, how a LIMS can help manage and automate the entire spectrum of mining lab operations

Cannabis testing is the backbone of consumer safety and regulatory compliance. Yet even experienced labs often make recurring errors that can lead to failed batches, product recalls, or audit challenges.

Our latest blog explores how labs can prevent the most common testing mistakes that compromise quality and credibility—while staying ahead in a rapidly evolving regulatory landscape. It also discusses practical strategies and introduces a one-stop solution to help labs eliminate these costly errors.