Laboratory information management systems (LIMS) are experiencing a significant shift marked by heightened integration and automation, revolutionizing lab operations globally. This transformation aims to boost efficiency, accuracy, and productivity across laboratories. LabLynx LIMS emerges as a frontrunner in this evolution, exemplifying the importance of integration and automation in enhancing laboratory management.[Read More]

Benchtop sequencers are compact and adaptable devices that create new pathways for small labs to impact both research and clinical settings significantly. These sequencers operate at the point of need, providing rapid results, which is critical when patient care and outcomes are at stake. When supported by appropriate tools and resources, such as a Laboratory Information Management System (LIMS System) like Sapio Sciences, these benchtop sequencers can deliver results more efficiently, leading to better patient outcomes and a more comprehensive reach of genomic research. [Read More]

Sample management and inventory management are two essential but distinct processes that labs use to stay organized. Most labs make sample management a priority, using a laboratory information management system (LIMS) or other software to simplify the process. However, monitoring and managing consumable inventory is equally important for efficient operations, especially for labs planning to increase throughput or scale up their business. Despite the importance of inventory management, many labs use a piecemeal approach that could be improved with an all-in-one solution.  [Read More]

Data migration, at its core, appears deceptively simple—a process aimed at transferring data from an old system to a new one. When performed well, labs are better positioned to derive more value from their laboratory information management systems (LIMS) and their data. However, LIMS data migration can be quite complex and risky if not executed correctly. Between lost data, data format conversion complexities, data security concerns, and increased costs, LIMS data migration failures can threaten business continuity and push labs past the point of no return. [Read More]

Data migration can be a daunting task for laboratories looking to transition to a new Laboratory Information Management System (LIMS). The process of transferring data from one system to another requires careful planning, execution, and validation to ensure that all data is accurately transferred and accessible in the new system. In this blog post, we will dive into the data migration for LIMS.  [Read More]

Data entry in laboratories was previously performed using physical notebooks. Not only was this tedious, but it also resulted in errors and inefficiency in operations. With the advent of Electronic Lab Notebook (ELN) software, traditional notebooks became obsolete. While this led to improved efficiency and collaboration, a wide variety of ELNs started appearing on the market, making it difficult for labs to find the right solution. If you are in a similar situation, here’s a comprehensive guide to the different types of electronic lab notebooks available. [Read More]

In a rapidly evolving world driven by technology, laboratories are increasingly prioritizing mobility and remote access to data. LabLynx, a leading provider of laboratory information management systems (LIMS), is spearheading this shift by offering innovative solutions that empower teams to streamline workflows and maintain productivity from any location. [Read More]

In this 2023 article published in the Journal of Applied Clinical Medical Physics, Kapoor et al. of Virginia Commonwealth University present their approach to managing radiation oncology research data in a FAIR (findable, accessible, interoperable, and reusable) way. The authors focus on the advantages of a knowledge graph-based database combined with ontology-based keyword search, synonym-based term matching, and a variety of visualization tools. After presenting background on the topic, Kapoor et al. describe their approach using 1,660 patient clinical and dosimetry records, standardize terminologies, data dictionaries, and Semantic Web technologies. They then discussed the results of their mapping efforts, as well as the discovered benefits of a knowledge graph-based solution over a traditional relational database approach. They conclude that their approach "successfully demonstrates the procedures of gathering data from multiple clinical systems and using ontology-based data integration," with the radiation oncology datasets being more FAIR "using open semantic ontology-based formats," which in turn helps "facilitate interoperability and execution of large scientific studies."