QBench vs. Automata LINQ

QBench provides a comprehensive solution for monitoring all your samples and their positions within the workflow through a unified platform. By using QBench, you can forgo the traditional reliance on spreadsheets, shared network folders, and outdated paper tracking systems. The platform enables you to review numerous PDF reports and Certificates of Analysis (COAs) before finalizing or distributing them via email. You also have the option to create customizable barcodes and labels for your samples, ensuring compatibility with standard printers and scanners. Additionally, QBench features a billing module that streamlines the creation and dispatch of invoices directly from the system. Users can access data on counts and latencies for various data types within QBench, which encompasses metrics such as turnaround times, sample counts per test, delays, and more. This innovative tool simplifies the data collection process necessary for the assays conducted in your laboratory while enhancing overall efficiency. With QBench, managing your laboratory workflow has never been more straightforward and effective.

LINQ acts as a holistic solution for lab automation, enabling teams to seamlessly create, implement, and manage automated workcells and workflows with remarkable effectiveness and simplicity. By utilizing the versatile LINQ Bench hardware platform, users can tailor their workcells to fit precise needs, accommodating various instruments and spatial configurations while allowing for limitless scalability. They also have the ability to quickly develop workflows using an intuitive node-based interface or take advantage of a comprehensive Python SDK, which supports both no-code drag-and-drop methods and code-based customization, simulation, testing, and modifications. The platform further allows users to start and oversee operations through a straightforward run manager, making it possible to monitor and control workcells remotely from any location, complemented by strong error-handling capabilities and centralized management of multiple workcells due to its cloud-native architecture. In addition, LINQ's adaptable nature and robust functionalities greatly boost productivity and optimize lab processes, creating a more efficient workflow for researchers. Users can expect a significant reduction in the time spent on repetitive tasks, allowing them to focus on more complex scientific inquiries.