Important actors that affect the adoption and utilization of laboratory systems… There was a time when the idea of purchasing a LIMS would be met with skepticism. Early LIMS suffered from several problems, not the least of which was defining what a LIMS actually is? In 2023, LIMS constitutes a set of product capabilities that meets the expectations that were set in its early incarnations. [Read More]

Automating sample management is pivotal for success in cannabis testing. Overcoming common challenges like throughput, efficiency, and scalability is crucial for future-proofing labs. Embracing software like SLIMS streamlines operations, maximizes efficiency, and ensures long-term profitability. [Read More]

A Laboratory Information Management System (LIMS) is software designed to efficiently manage samples and associated data in laboratories. It enables workflow automation, integration with instruments, and centralised access to quality control data. By tracking and managing samples, LIMS improves efficiency and accuracy in producing reliable results. Key tasks supported by LIMS include workflow automation, centralized quality control data storage, compliance support, reagent and lot tracking... [Read More]

Transitioning to a Laboratory Information Management System (LIMS) is a significant decision for laboratories seeking enhanced efficiency and data management. But when is the best time for moving to LIMS?  Determining the right time to make this transition is crucial for a successful implementation. In this blog post, we are shedding light on a crucial topic, the best time of moving to a LIMS for laboratories. [Read More]

In the fast-paced world of biotechnology, efficient sample management is crucial for laboratories to operate at their full potential. However, the process of registering, receiving, and processing samples can often be challenging due to scattered information, mismatches, and the risk of losing valuable samples. These inefficiencies lead to delayed results and operational setbacks, as well as impacting profitability. To address these challenges head-on, we proudly introduce the Biorepository app, a game-changer in the field of sample management. [Read More]

Do you ever find your R&D labs caught in a stagnant time warp, slowing your progress? Are you tirelessly juggling an array of testing processes, expending valuable resources, and enduring the burdensome weight of inefficient workflows? If so, it might be time to embark on a transformative path towards consolidating your testing. In a fireside chat in May, our Chief Product Officer sat down with DuPont’s Information and Data Science Technical Manager, to discuss the organization’s testing consolidation journey with STARLIMS [Read More]

As discussed in a previous LabLynx blog article, demand for food production may need to increase by as much as 70 percent to feed the world’s estimated 9.7 billion people by 2050. While feeding the world is an obvious priority, many also believe there is an equally important need to reduce the world’s carbon footprint and combat climate change, and they see biofuels as an answer. [Read More] 

Selecting the right Electronic Lab Notebook (ELN) to meet the complex needs of your scientific laboratory can be a challenging task. There is a clear and present need to move from paper-based to paperless but that is just the beginning. Its important to understand the goals for this transformation – the greater vision that will define future success for the business. [Read More]

In this 2022 journal article published in iScience, Hauschild et al. present a set of guidelines for practicing the academic software life cycle (SLC) within medical labs and research institutes, where commercial industry SLC standards are less applicable. As part of their guidelines, the authors "propose a subset of elements that we are convinced will provide a significant benefit to research settings while keeping the development effort within a feasible range." After a solid introduction, the authors get into the details of their guidelines, addressing all the various stages within the SLC and how they are best applied in the medical academic settings. They close with a brief discussion, concluding that their guideline "lowers the barriers to a potential technology transfer toward the medical industry," while providing "a comprehensive checklist for a successful SLC."