136 citations · 139 across the 5 of their papers we have counts for
5 papers
Unsupervised hyperspectral data mining and bioimaging by information entropy and self-modeling curve resolution
Simon Vilms Pedersen, Anders R. Walther, Anthony Callanan +3
Unsupervised estimation of the dimensionality of hyperspectral microspectroscopy datasets containing pure and mixed spectral features, and extraction of their representative endmem…
Design of Experiments for Verifying Biomolecular Networks
Ruby Sedgwick, John Goertz, Molly Stevens +2
There is a growing trend in molecular and synthetic biology of using mechanistic (non machine learning) models to design biomolecular networks. Once designed, these networks need t…
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
Conor C. Horgan, Magnus Jensen, Anika Nagelkerke +4
Raman spectroscopy enables non-destructive, label-free imaging with unprecedented molecular contrast but is limited by slow data acquisition, largely preventing high-throughput ima…
Fluorescence-Guided Raman Spectroscopy for Tumour Margin Delineation
Conor C. Horgan, Mads S. Bergholt, May Zaw Thin +5
The initial detection and identification of suspicious lesions and the precise delineation of tumour mar-gins are essential for successful tumour resection, with progression-free s…
Integrated Photodynamic Raman Theranostics for Cancer Diagnosis, Treatment, and Post-Treatment Molecular Monitoring
Conor C. Horgan, Mads S. Bergholt, Anika Nagelkerke +6
Theranostics, the combination of diagnosis and therapy, has long held promise as a means to achieving personalised precision cancer treatments. However, despite its potential, ther…