Speaker
Description
In recent years, there has been a significant advancement in the field of 3D printing technology. Researchers have utilized it to fabricate cost-effective mobile detection devices aimed at enhancing the rapid diagnosis of biological samples. This research has significantly contributed to the development of a 3D printed device tailored for the swift detection of golden algae (Prymnesium parvum) in environmental samples. At the core of this detection system lies a CRISPR-based diagnostic platform known as Specific High Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK). Leveraging the potential of machine learning algorithms, the device seamlessly translates signals captured from fluorescent probes in images into concentrations of Prymnesium Parvum DNA. This innovative device was developed as part of the iGEM (International Genetically Engineered Machine) 2024 competition, where the iGEM JU 2024 team focuses on creating an efficient diagnostic tool for detecting golden algae in natural environments.
| Field | Biosciences |
|---|---|
| Length | Poster |
