Craig Yensen

Royal Canadian Mounted Police

Papers

2

Total Citations

73

H-Index

2

About

Craig Yensen is a leading figure in forensic DNA automation, whose work has fundamentally reshaped how high-throughput laboratories handle biological evidence. His research centers on the critical intersection of robotics, contamination prevention, and forensic sample processing. Yensen’s major contributions lie in demonstrating that fixed-tip robotic liquid-handling stations, when properly configured, can outperform disposable-tip systems in both cost-efficiency and contamination control. His seminal 2008 paper, "Automated Processing of Forensic Casework Samples Using Robotic Workstations Equipped with Nondisposable Tips: Contamination Prevention," which has garnered 51 citations, introduced a validated protocol using TECAN Genesis and Freedom EVO workstations. This work proved that strategic tip-cleaning routines could eliminate cross-contamination, a paradigm shift for forensic labs. His 2007 study on "Optimized Configuration of Fixed-Tip Robotic Liquid-Handling Stations" (22 citations) further solidified this approach, challenging the prevailing assumption that disposable tips were the only safe option. Yensen’s achievements have enabled forensic facilities to dramatically increase throughput while reducing plastic waste and operational costs, making high-volume DNA analysis both more sustainable and more reliable. His research remains a cornerstone reference for any laboratory seeking to balance speed, accuracy, and resource efficiency in forensic casework.

Research Focus

Key Achievements

2
H-Index
2
Papers
73
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Automated Processing of Forensic Casework Samples Using Robotic Workstations Equipped with Nondisposable Tips: Contamination Prevention
51 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Royal Canadian Mounted Police

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago