BioView® blog
Every moment is an opportunity to push your research to its fullest potential. Through our BioView blog, we aspire to keep you informed on research developments, provide insights that support the success of your experiments, and inspire new ideas.
Big problems from small bugs: tackling high-throughput surveillance of antibiotic resistance in the environment
Date: June 3, 2019
Categories: Automation | Real-Time PCR | Research News
Learn about the first large-scale antibiotic resistance survey of European urban wastewater treatment plants using highly parallel qPCR.
Accelerating chromatin mapping with single-cell ATAC-seq
Date: May 7, 2019
Categories: Automation | NGS | Research News | Single-cell
Learn more about how researchers used our ICELL8 Single-Cell System to develop a novel single-cell ATAC-seq workflow.
Bringing epigenomic profiling to the single-cell biology stage
Date: March 21, 2019
Categories: Automation | NGS | Research News | Single-cell
Discover how researchers developed the new CUT&Tag method for single-cell profiling of chromatin components with ICELL8 technology.
Better biobanking with high-throughput qPCR
Date: January 14, 2019
Categories: Automation | Real-Time PCR | Research News
Learn how our SmartChip technology enabled a method to detect over-fixed FFPE tissue.
Career spotlight: field applications scientist
Date: December 3, 2018
Categories: Automation | Careers | Troubleshooting
Dr. Shuwen Chen is a field applications scientist and works alongside customers to push their research forward with a comprehensive array of innovative technologies.
Top 5 considerations when automating single-cell sequencing
Date: November 5, 2018
Categories: Automation | NGS | Single-cell
Considering automating your single-cell analysis? Here are five features you should look for in a system.
What's inside automated single-cell RNA-seq platforms?
Date: July 9, 2018
Categories: Automation | NGS | Research News | Single-cell
Learn how the many differences between popular scRNA-seq platforms impact your data. Here, we discuss sensitivity, read efficiency, and gene diversity (3' DE expression) data generated by the ABRF Genomics Research Group.
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