DNA-Helper helps you efficiently manage sample collection and experimental data. It saves time and effort by providing customized functions tailored to the roles of each collector and experimenter.
- Collector member
1. QR code-based DNA sample registration
Collectors can easily register DNA samples using the QR code printed out by the administrator. When registering a sample, all relevant data, including collection location, collection date, individual identification number, and collector information, can be entered in detail, enabling systematic data management.
2. Sample management function provided
Collectors can view the full list of DNA samples they have registered within the app, and edit or update the details of each sample. This allows you to continuously manage the condition of the collected samples.
3. Download entire collection history
Collectors can organize the collection history of all DNA samples they have registered in a table format and download it as an Excel file. This makes it easy to store and share data externally, and can greatly improve work efficiency.
- Functions for experimenters
1. Sample information confirmation function
By scanning the QR code of the DNA sample received from the collector through the app, the experimenter can check all information about the sample at a glance. The QR code contains detailed data registered by the collector (collection location, collection date, individual identification number, collector information, etc.), allowing you to immediately check the required information without additional paperwork.
2. Clean and download sample data
Experimenters can easily organize the sample data registered in the app into a table format and download it as an Excel file. This function is an essential tool for research and experiment record management and can be used as a basis for data analysis and report writing.
3. Systematic sample management
Experimenters can organize registered sample data by downloading Excel to chronological order, by collector, or other customizations, allowing them to efficiently manage and utilize large amounts of sample data.