Americas/EMEA Date:
October 23rd, 2024
Time:
8:30 a.m. PT | 11:30 a.m. ET | 5:30 p.m. CEST
APJ Date:
October 23rd, 2024
Time:
12:00 p.m. SGT | 9:30 a.m. IST
Processing forensic samples can be time-consuming, especially when dealing with challenging samples. This webinar aims to demonstrate that efficiency and quality can be balanced without compromising either.
Join us as Kayli Carrillo, a Doctoral Student from Sam Houston State University, presents data from recent study that assesses the efficacy of the Applied Biosystems™ HID NIMBUS® Presto QNA System in automating the quantification and amplification workflows for forensic casework samples. The findings support the system's utility in forensic laboratories, providing reliable and high-quality DNA analysis.
Additionally, data from an ongoing extraction efficiency study will provide valuable insights into different DNA purification methods that can significantly enhance the accuracy and reliability of DNA profiling in forensic investigations.
In this webinar you’ll be presented with:
- Results from challenging forensic samples such as bone, hair, nail, gum, and blood, purified, amplified and quantified using the HID NIMBUS Presto QNA automated system
- The benefits of using an efficient automated DNA workflow for challenging samples providing fast turnaround times and producing results comparable to traditional methods
- Data demonstrating the production of high-quality DNA results through the utilization of proven purification methods
Join us for this insightful webinar that uncovers strategies and best practices for balancing efficiency and quality in forensic sample processing. Discover how automated methods and data-driven solutions can optimize your forensic investigations.
Who should attend:
- Forensic DNA Analysts
- Forensic Scientists
- Forensic Lab Managers
- Forensic Lab Technical Leaders
- Criminalists
- Crime Scene Investigators
Americas/EMEA Date:
October 23rd, 2024
Time:
8:30 am PT | 11:30 am ET | 5:30 p.m. CEST
APJ Date:
October 23rd, 2024
Time:
12:00 pm SGT | 9:30 a.m. IST