The lab’s current research with the Tucsen Dhyana 95V2 camera is centred on building new hyperspectral imaging systems that can capture a full spectrum of light in a single snapshot. This technology allows researchers to record both spatial and spectral information at once, revealing subtle chemical and structural details that traditional imaging methods might miss.

These hyperspectral imaging systems could assist surgeons by providing real-time, colour-coded views of tissue composition and surgical margins during operations. This fluorescence-guided approach helps distinguish healthy tissue from diseased areas more accurately.

By obtaining an image in the X, Y, and wavelength dimensions (a 'hypercube'), they can use algorithms to select wavelengths to distinguish the most important features. Optimising these algorithms will enable them to implement these in real-time.

The team is also adapting the technology for use in endoscopic and keyhole (laparoscopic) surgery, where small, highly sensitive cameras are vital for clear imaging in confined spaces. To ensure reliable results, the system is calibrated using tissue-like phantoms that simulate human tissue. With high-speed performance and strong signal sensitivity, the lab’s custom open-source software enables precise timing and smooth data capture throughout each experiment.

By combining advanced optics, precise calibration, and high-speed data capture from the Dhyana 95V2, the team aims to create faster and more powerful imaging tools for biomedical research and clinical applications, opening new possibilities for non-invasive disease detection and tissue analysis.

Images are adapted from, and approved with permission by, the Joseph lab.