Noticias y eventos de Agilent Technologies Inc (A)AAgilent Technologies Inc

Agilent Collaborates with University of Chicago to Establish Energy Materials Research Center

Agilent Technologies and the University of Chicago announced a scientific collaboration to establish the Agilent Center of Excellence, CoE, for Energy Materials Research. The Agilent CoE will be based at the University of Chicago Pritzker School of Molecular Engineering and will support the Energy Technologies. "Advancing energy storage research requires both scientific expertise and the analytical capabilities to understand how complex materials behave and change over time," said Mike Zhang, senior vice president and president of Agilent's Applied Markets Group. "By combining the University of Chicago's interdisciplinary research strengths with Agilent's advanced instrumentation and applications expertise, this Center will give researchers greater capabilities to investigate these materials, tackle some of the toughest challenges in battery and materials science, and accelerate progress toward new solutions."

Agilent Launches NovoStation Sample Preparation System

Agilent Technologies announced the launch of the NovoStation Sample Preparation System, a new automated platform designed to help laboratories simplify and streamline flow cytometry sample preparation. When paired with a NovoCyte flow cytometer and NovoExpress software, NovoStation offers an integration-ready solution that enables a hands-free sample-to-answer workflow, helping scientists spend less time preparing samples and more time interpreting results. Flow cytometry laboratories are under increasing pressure to process more samples, support more complex assays, and deliver reliable results across multiple users, instruments, and sites. As higher-throughput workflows become more common in pharmaceutical, biopharmaceutical, contract research, core laboratory, and academic settings, manual sample preparation can introduce bottlenecks, variability, and training challenges that slow research and affect data quality. NovoStation addresses these challenges through automation built for flow cytometry sample preparation. The system automates onboard reagent cocktailing and sample washing, and integrates directly with compatible Agilent flow cytometers, allowing laboratories to move from preparation to acquisition within a single connected workflow. By reducing manual variability, NovoStation helps generate reproducible data that scientists can trust for critical research and development decisions, while simplified setup, operation, and training make it easier to standardize workflows across labs and teams.

Agilent Launches Gen5 AI Cell Identification Module

Agilent Technologies announced the launch of the Agilent BioTek Gen5 AI cell identification module, a new image analysis software add-on that incorporates AI-based cell identification and segmentation into BioTek Gen5 imaging analysis. Developed for use with compatible Agilent BioTek automated imaging systems, the module uses AI-based segmentation without requiring conventional threshold setting or parameter tuning. By incorporating the capability into the familiar Gen5 software environment, the module is designed to reduce manual image-analysis steps and support consistent cell counting and confluence analysis across supported applications. Conventional threshold-based segmentation can require researchers to establish and optimize analysis parameters for individual experiments. These additional steps can introduce user-dependent variation and present challenges as laboratories adopt higher-throughput imaging workflows and generate increasing volumes of image-based data. The Gen5 AI image analysis module provides researchers with an AI-based approach designed to simplify this process within their established BioTek imaging workflow. The module supports label-free and fluorescence, live-cell and kinetic assays commonly used in life science and pharmaceutical research environments. Its integration with Gen5 enables researchers using compatible BioTek Cytation and Lionheart automated imagers to apply AI-based segmentation within their existing imaging assays.