Developing Infrared Biofluid Diagnostics (Dr. M. Baker)

  • Datum: 13.01.2016
  • Uhrzeit: 17:15 - 18:30
  • Vortragende(r): Dr. Matthew Baker, University of Strathclyde, Glasgow
  • Raum: Herbert Walther Lecture Hall
  • Gastgeber: MPQ, Attosecond Physics Division
Spectroscopic analysis allows for the label-free objective classification of biological material on the molecular scale. This technique has been applied to histology, cytology and surgical pathology and can detect subtle changes in the proteome and metabolome.

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.

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