Team Members: Anjana Hevaganinge, Ravidu Hevaganinge and Joshua Ehizibolo
Our HSI microscopy project is pioneering a groundbreaking imaging technique to accelerate the analysis of biological media and cells. Unlike standard cameras, hyperspectral cameras operate in the shortwave near-infrared (SWIR) range (900-2500 nm), generating detailed, three-dimensional data by capturing spectra across each pixel. This enables the detection of chemical bonds and molecular signatures that are invisible to conventional imaging methods.
HSI’s ability to rapidly generate vast amounts of data uniquely suits applications requiring high throughput and precision. For instance, while Raman scattering microscopy focuses on a narrow wavelength range, HSI provides comprehensive spectral data across a broad range, unlocking deeper insights into materials’ absorbance properties.
Our project leverages machine learning to interpret and model this rich data, creating better chemical and structural information representations. This has transformative potential for fields such as bioengineering, where precise, in-line imaging can drive cell analysis and diagnostics advancements. Our work positions HSI as a cornerstone technology for future biomedical research by bridging advanced optics and computational tools.