PCR – Multimedia

Applied Biosystems Diomni Enterprise Software is an on-premise workflow solution that connects all steps in your real-time PCR (qPCR) test development and routine testing workflows with one single ecosystem. Streamline efficiency from samples to insights. Experience one solution to power all steps in your qPCR workflow.

This poster explores state-of-the-art nucleic acid detection, the critical steps and the advantages of this approach.

Nucleic acid quantification (NAQ) is the process of determining the concentration of DNA or RNA in a sample. Accurate NAQ is crucial in various molecular biology applications, including PCR, sequencing, cloning and gene expression analysis.

This study compares the accuracy of thermal cycler blocks by taking measurements using precise temperature verification equipment.

Biotherapeutics must go through rigorous purification processes during their development and manufacturing. However, low levels of residual or plasmid DNA can often remain after purification, affecting the safety and efficacy of final products.

This infographic explores how to set yourself up for success with expert tips for each stage of the PCR workflow.

This application note evaluates the noise generation of PCR thermal cyclers in varying operational states to assess how different instruments affect background noise levels.

Streamline molecular diagnostic testing with Diomni Software, an easy-to-use workflow solution to boost efficiency and achieve higher accuracy. Plan an extraction, run a qPCR test, review interpretive results, and release reports with confidence. Diomni Software is designed to help you achieve maximum productivity and smarter security.

This app note highlights the latest ddPCRTM solutions for advanced assay multiplexing. It demonstrates how researchers can get the most out of precious clinical samples, with time and cost-saving advantages over gene sequencing methods.

To accelerate the discovery of new cancer biomarkers and new insights into the genetics of treatment-resistant tumors, it is crucial to gain a deeper understanding of the genomic and epigenomic variations in cancer.