Computational Microscopy

Phase imaging
We develop and use digital holographic (DH) and intensity based techniques like Shack-Hartman or partitioned aperture wavefront (PAW) sensing  to measure the phase information of light. All of these technqiues can be combined with our high-speed camera and can be adjusted to the requirements. The obtained information is commonly used to characterize samples (like measure the refractive index) or the transmission matrix of a sample as well as control adaptive elements in-process [1].

Real-time image processing
We realize fast hard-and software solutions for fast image processing, e.g. using using custom C-codes to realize real-time tracking through scattering media by correlation techniques [2]. Furthermore, we work on the development on FPGA systems, that enable 1kHz closed-loop adaptive optical correction [3].

[1] W. Wang, K. Philipp, J. Czarske, N. Koukourakis; Real-time monitoring of adaptive lenses with high tuning range and multiple degrees of freedom; Optics Letters, Vol. 45, Issue 2, pp. 272-275 (2020) •https://doi.org/10.1364/OL.45.0002722020, 2020

[2] A.Aziz, M.Medina-Sánchez, N.Koukourakis, J.Wang, R.Kuschmierz, H.Radner,J.Czarske and O.G. Schmidt, “Real-time IR tracking of single reflective micromotors through scattering tissues,” Advanced Functional Materials, 1905272, (2019)

[3] H. Radner, J. Stange, L. Büttner, J. Czarske, „Field programmable system-on-chip based control system for real-time distortion correction in optical imaging“, Transactions on Industrial Electronics, (2020)

[4] S. Rothe, Q. Zhang, N. Koukourakis, J. Czarske, “Deep Learning for Computational Mode Decomposition in Optical Fibers”, Applied Sciences 10(4), 1367, 2020.