Why Create Locations?

Locations represent where your mosquito specimens were collected. This geographic information is crucial for population studies and mapping resistance patterns.

What You Need:

• Location Name: A descriptive name (e.g., "Kilifi Research Station")
• Coordinates: Latitude and longitude (GPS coordinates)
• Description: Additional details about the collection site

What is Metadata?

Metadata contains all the information about your mosquito specimens and experimental conditions. This includes species information, collection conditions, and machine settings.

Key Information Required:

Upload spectral files

Now it's time to upload your spectral data files. VectorPredictor supports multiple file formats and can handle multiple files simultaneously.

Supported File Formats:

Quality Check Your Data

Before running predictions, it's important to check the quality of your spectral data. VectorPredictor provides automated quality filters and visualisation tools.

Quality Filters Available:

• Low Intensity: Identifies spectra with insufficient signal
• Abnormal Background: Detects baseline irregularities
• Atmospheric Interference: Finds water vapour contamination

Run predictions

Use trained AI models to predict mosquito age from your spectral data. The deep learning models achieve >95% accuracy on laboratory data.

Available Predictions:

• Age & Species Prediction: Estimates mosquito age in days (1-17 day range) and identifies species
• Species Identification: Classifies mosquito species
• Resistance Status: Predicts insecticide resistance (coming soon)