A number of biomedical studies have shown that mid-infrared spectroscopic images can provide both morphological and biochemical information that can be used for the diagnosis of cancer. Whilst this technique has shown great potential it has yet to be employed by the medical profession. By replacing the conventional broadband thermal source employed in modern FTIR spectrometers with high-brightness, broadly tuneable laser based sources (QCLs and OPGs) we aim to solve one of the main obstacles to the transfer of this technology to the medical arena; namely poor signal to noise ratios at high spatial resolutions and short image acquisition times. In this thesis we take the first steps towards developing the optimum experimental configur...
Interest in mid-infrared spectroscopy instrumentation beyond classical FTIR using a thermal light so...
Skin cancer is a disease of the twenty-first century since, unfortunately, being tan is associated t...
Fourier transform infrared (FT-IR) microscopy coupled with machine learning approaches has been demo...
Mid-infrared spectroscopic imaging is a rapidly emerging technique in biomedical research and clinic...
This thesis presents work on the development of two distinct systems for the purpose of spectral ima...
Mid-infrared (MIR) spectroscopy has been a tool used to identify specific features of normal and mal...
This is the final version. Available from Optical Society of America via the DOI in this record. Lon...
This thesis is written as part of Marie-Curie international training network called Mid-TECH. Mid-TE...
Fourier transform infrared (FT-IR) microscopy, coupled with machine learning approaches, has been de...
This is the author accepted manuscript. The final version is available from IOP Publishing via the D...
Technological advances, namely the integration of quantum cascade lasers (QCLs) within an infrared (...
Histopathology of tissue samples is used to determine the progression of cancer usually by staining ...
The objectives of this research were to develop experimental approaches that can be applied to class...
Fourier Transform Infrared (FT-IR) Spectroscopic Imaging is an optical technique that simultaneously...
Differentiation of malign and benign tissue based on spectral information can be done by only using ...
Interest in mid-infrared spectroscopy instrumentation beyond classical FTIR using a thermal light so...
Skin cancer is a disease of the twenty-first century since, unfortunately, being tan is associated t...
Fourier transform infrared (FT-IR) microscopy coupled with machine learning approaches has been demo...
Mid-infrared spectroscopic imaging is a rapidly emerging technique in biomedical research and clinic...
This thesis presents work on the development of two distinct systems for the purpose of spectral ima...
Mid-infrared (MIR) spectroscopy has been a tool used to identify specific features of normal and mal...
This is the final version. Available from Optical Society of America via the DOI in this record. Lon...
This thesis is written as part of Marie-Curie international training network called Mid-TECH. Mid-TE...
Fourier transform infrared (FT-IR) microscopy, coupled with machine learning approaches, has been de...
This is the author accepted manuscript. The final version is available from IOP Publishing via the D...
Technological advances, namely the integration of quantum cascade lasers (QCLs) within an infrared (...
Histopathology of tissue samples is used to determine the progression of cancer usually by staining ...
The objectives of this research were to develop experimental approaches that can be applied to class...
Fourier Transform Infrared (FT-IR) Spectroscopic Imaging is an optical technique that simultaneously...
Differentiation of malign and benign tissue based on spectral information can be done by only using ...
Interest in mid-infrared spectroscopy instrumentation beyond classical FTIR using a thermal light so...
Skin cancer is a disease of the twenty-first century since, unfortunately, being tan is associated t...
Fourier transform infrared (FT-IR) microscopy coupled with machine learning approaches has been demo...