Modern research and development labs require a multitude of software tools to facilitate more efficient operations; including faster processing, increased data accuracy, automation of tasks, more effective collaboration and easier regulatory compliance.
In this article, we’re going to walk through some of the most common software tools used by scientists today to maintain an efficient, accurate and compliant laboratory.
The LIMS is a cornerstone of any lab, given its comprehensive ability to streamline complex workflows and centralize vast amounts of data.
The primary function of LIMS software is to induct, track, store and analyze samples, whilst automating and allocating workflows to lab personnel.
LIMS are a crucial addition to any lab, as they automate time-consuming tasks, increase data accuracy and facilitate bulk processing to speed up lab operations.
Electronic Lab Notebooks are the digitization of another laboratory staple; the paper lab notebook.
ELNs create a comprehensive, centralized database of all notes, observations and experiments recorded in the lab; facilitating easier searchability, collaboration and effortless compliance with ever-changing regulations.
ELNs also offer greater security and flexibility than their paper counterparts; usually cloud-based software, ELNs are accessible from any wireless device and are robustly secured with user authentication and encrypted data storage.
Owing to the rise of digitization, video conferencing software and virtual collaboration tools have grown in popularity within labs.
Programs such as Google Drive, Dropbox, Zoom or Microsoft Teams facilitate document sharing and real-time international collaboration with external researchers, allowing for richer scientific insight and resources.
It’s also important to note that an effective LIMS software will integrate with these tools, allowing for a more intuitive user experience.
It's common for scientists to analyze vast amounts of data in order to identify trends and make predictions. Using data analysis tools, such as Python or Ruby, enables users to create algorithms or custom scripts based on complex datasets.
The scientific community depends on an array of software and tools to facilitate greater efficiency and data accuracy during R&D, whilst preserving the reproducibility of results through centralized and standardized data capture and storage.
Scientists might be inclined to opt for software that offers all-in-one solutions and seamless integration with various other programs and tools.
See how Labguru's LIMS, ELN, and integrated lab management solutions can transform your research workflows. Click below to book a demo!