2nd BE-OPTICAL School


The purpose of the visit was to attend the 2nd BE-OPTICAL School at the Institute of Physics of the Nicolaus Copernicus University and to discuss the characterization of the Bessel Beam OCT setup. The main topics of the lectures were :

  • optical technologies for high-resolution imaging,  metrology and sensing,
  • tissue optics and bio photonics,
  • statistics, data analysis and classification tools
  • prepare a clinical trial,
  • introduction to biostatistics and its applications in  clinical studies.

Apart from scientific lectures there was also lecture on how to write a good science paper which was quite informative and useful for the near future. The lectures covered a wide range of topics like measurement and analysis of reflectance and fluorescence spectra, light transport in tissue, modelling and video techniques, laser therapy in field of tissue optics. There was also a brief overview of different imaging modalities and detection approaches, imaging devices such as microscopes, hand held probes and catheters, in vitro and in vivo studies. This particular talk was important course and taught to achieve the super resolution in the spectroscopy. There were courses on statistics, data analysis and classification tools describing the linear and nonlinear time series analysis, delay reconstruction, ordinal patterns, support vector machines, nearest neighbor’s classifier, feature selection, surrogate data and hypothesis testing, information flow, statistics for clinical studies (t-test, ANOVA, Bland and Altman plots etc.). In conclusion, the school had covered the lectures which are quite useful in Monika Rapolu  field of research and got some fruitful ideas during the discussions to implement in prof. Wojtkowski group’s existing setup.



May 2 - 5, 2017


Nicolaus Copernicus University, Toruń


Nicolaus Copernicus University


Mounika Rapolu

More information about the event .

Images - source : 2nd BE-OPTICAL School website

This project has received funding from the European Union’s
Horizon 2020 research and innovation programme
under grant agreement No 666295.