AI-Driven Label-Free Quantification of Cell Viability Using Live-Cell Analysis
Live-cell imaging enables acquisition of phase contrast images and provides an ideal platform to study multi-faceted biological paradigms in drug discovery. This is vital to our understanding of human diseases and treatment strategies. The movement of these models towards increasingly complex physiologically relevant ones, including patient-derived cells and induced pluripotent stem cells (iPSCs), has concurrently driven the need for label-free methods that are non-perturbing to deliver deeper biological insights.
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eBook: Free up your plasmid purification workflows
July 25th 2025Discover how automated plasmid purification can free up your lab's workflows and increase efficiency, scalability, and consistency without compromising quality. Get your copy of our eBook to explore real-world insights, actionable strategies, and innovative products you need to future-proof your pDNA purification processes.
Effortless maxi-scale plasmid purification
July 25th 2025Plasmid DNA purification has a vital role in molecular biology research. pDNA isolated at maxi scale is utilized in a variety of downstream applications, including mRNA synthesis, vaccine development, antibody production, cell and gene therapy and viral vector production. Learn about this new automated process.
Accelerating Plasmid DNA Research
July 25th 2025Watch this webinar on how to improve your plasmid DNA research using automated and high-throughput extraction methods that are now available. High yield maxi prep can be hands free, and high-throughput pDNA midi prep is possible with magnetic bead-based technology.
Beyond SaaS: How Service-as-a-Software and Agentic AI Are Powering Labs of the Future
July 18th 2025Globally, scientific labs generate unprecedented volumes of data through cloud-based platforms, yet most of this valuable information remains fragmented and buried across different systems. While traditional software-as-a-service (SaaS) solutions have addressed the accessibility problem, labs still struggle with data overload, forcing scientists to spend countless hours searching for information that should be readily available. This whitepaper presents AI-powered SaaS, the next advancement in lab informatics that is transforming how lab workers interact with their data, enabling natural language conversations that deliver contextualized insights exactly when needed.
