PhD Studentship: Overcoming the Quantification Problem in Deep Raman Spectroscopy using Advanced Optical Metrology and 3D Phantoms

Summary:

This PhD project will develop the next generation of hyper realistic animal free phantoms to overcome the "quantification problem" in deep Raman spectroscopy (DRS). This will enable quantitative analysis in future animal studies and varied healthcare applications. By combining time-domain diffuse optical spectroscopy (TDDOS), 3D-printed tissue models, and advanced computer simulations, the project will develop tools to measure light propagation and allow drug biodistribution to be quantified non-invasively.

Motivation: While Raman spectroscopy non-destructively reveals detailed chemical information and is being developed for a range innovative healthcare applications (e.g., theranostic nanomedicines and improved pathology), quantifying these signals in complex 3D samples remains a major barrier. Current methods struggle with inconsistent geometries and varying optical properties. By resolving this quantification problem, we can enable longitudinal biodistribution studies that require fewer animals, directly aligning with the 3Rs principles (replace, reduce, refine) for more ethical research.

Project Aims: The student will develop a pipeline to enable quantitative DRS by achieving three key milestones: Develop and validate a time domain diffuse optical spectroscopy device to precisely quantify optical properties—specifically absorption and reduced scattering within the 1st biological optical window. Utilize 3D printing to create highly realistic, animal-free 3D tissue phantoms that accurately replicate the optical properties of living tissues. Combine high resolution photogrammetry with Monte Carlo modelling to simulate light propagation through complex 3D geometries, moving beyond simplistic layered models.

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