Developing Infrared Biofluid Diagnostics (Dr. M. Baker)
- Date: Jan 13, 2016
- Time: 05:15 PM - 06:30 PM (Local Time Germany)
- Speaker: Dr. Matthew Baker, University of Strathclyde, Glasgow
- Room: Herbert Walther Lecture Hall
- Host: MPQ, Attosecond Physics Division
This new biochemical information has the potential to improve patient outcome through the identification of earlier stages of disease, drug resistance, disease states and high-risk populations.Recently, infrared (IR) serum analysis has been shown to be capable of rapid, specific and sensitive analysis of disease. Capable of diagnosing cancer severity as well as pre-symptomatic diagnosis of sepsis. However a full understanding of sample preparation effects and the effect of the coffee ring effect upon a spectrum is not fully understood which is standing in the way of clinical translation and development. In addition the recent combination of broadly tunable laser sources (QCLs), refractive based high numerical aperture objectives and a large format detector system has enabled high-definition diffraction-limited resolution, and new opportunities for data collection including real-time and data collection for discrete frequency infrared (DFIR) imaging capable of speeding up our analysis into clinically relevant times.
This paper will
discuss recent applications in the development and validation of FTIR
and DFIR spectroscopic serum diagnostics with a focus on cancer and
sepsis diagnosis from serum. In particular it will discuss a large
patient study for cancer diagnostics, pre-symptomatic study for sepsis
diagnostics and proof of principle study on hand applied 1 microlitre
drops to investigate the impact of DFIR on the spectrum and the ability
of spectral diagnostics to discriminate samples based upon discrete
frequencies of the most salient information obtained from the dataset,
including data analysis techniques to enable this. Importantly we will
discuss the use of piezojetted serum spots combined with DFIR imaging to
enable rapid spectral diagnostics observing the reproducibility and
repeatability obtained when implementing different levels of a DFIR
regime.