Bachelor- and master-thesis at BMO

If you are interested, please send the contact person a resume and a current grade transcript with your request.

4D SLIDE: Videorate volumetric SLIDE Microscopy

AG Karpf - Master Thesis

In this project, the fast image acquisition speed of 4,000 frames per second of SLIDE microscopy will be used to acquire volumetric two-photon images at >20 Hz volume rate (=video rates). Thus, optical nonlinear two-photon microscopy can be employed to acquire whole volumetric (3D) images in real time to image biomedical and dynamic cellular processes in intravital microscopy. Thus, this approach is called 4D-SLIDE (3D+time). In this project, you will explore this 4D-SLIDE technology and apply it in pressing biomedical problems.

If you are interested, please contact:Sebastian Karpf

Axial-scanned SLIDE Microscopy using diffractive optical elements (DOEs)

AG Karpf - Master Thesis

SLIDE microscopy has brought forth a highly rapid technology for two-photon microscopy by performing line scanning using a high-speed wavelength-tunable FDML laser. In this master thesis, a diffractive optical element (similar to a Fresnel lens) will be used to perform a high-speed (MHz) axial chromatic scan. Thus, a fast (24Hz) volumetric SLIDE microscopy acquisition can be achieved by scanning in axial (z-) direction by diffractive optics and in x- and y-direction by galvanometric scanner.

If you are interested, please contact: Sebastian Karpf


780nm Metabolic FLIM Imaging

AG Karpf - Master Thesis

This project build upon the successful preliminary work of a laser development master thesis. Here, a 1550nm fiber laser was developed and subsequently generated 780nm light via frequency doubling. This new light source was then applied to autofluorescence imaging and fluorescence lifetime imaging (FLIM). Autofluorescence FLIM of the co-enzymes NADH and FAD can be used to optically examine the metabolic state of cells without staining, and thus detect, for example, tumorous cell tissues. In this master thesis, the laser will be optimized to higher laser powers and subsequently used in autofluorescent metabolic FLIM imaging of different cell lines.

If you are interested, please contact: Sebastian Karpf

TICO-Raman Measurements using spontaneous Raman scattering with the SLIDE system

AG Karpf - Master Thesis

This Master thesis will draw on prior work in time-coded Raman scattering (TICO-Raman, Karpf et al., Nature Communications 2015) and SLIDE microscopy technology (Karpf et al., Nature Communications 2020) to extend high-speed two-photon microscopy SLIDE with a stain-free contrast mechanism (Raman scattering). This offers the potential in biomedical imaging to significantly expand specificity through molecular contrast and enables new applications as a multi-modal imaging system in the detection of cellular origins of disease.

If you are interested, please contact: Sebastian Karpf

Real-time temperature control for laser irradiations on the retina of the eye

AG Brinkmann - Bachelor Thesis

As part of a DFG-funded project, a new laser setup is being created in which we want to heat the retina with only one laser and measure the temperature increase in real time in parallel. The bachelor thesis includes optimisation of the setup, measurements on retina explants of pig eyes, and real-time recording and processing of the data. Cell vitality assays will be used to obtain a comparison of thermal damage as a function of temperature.Requirements: Experimental skills and programming experience.

If you are interested, please contact: Ralf Brinkmann

Set-up of Fourier ptychogaphic imaging and evaluation using machine learning

AG Rahlves - Master Thesis

Fourier ptychography is a high-resolution imaging method in which intensity images of a sample are acquired under coherent illumination at different angles of illumination. From the individual images, both a higher resolution image and the object phase can be reconstructed numerically without the need for interferometric images. This requires so-called phase retrieval algorithms for image reconstruction, such as the Gerchberg-Saxton algorithm. Alternatively, however, machine learning methods are becoming increasingly established to enable reconstruction. The aim of the thesis is first to build a simple Fourier ptychography imaging system. However, the focus will be on the implementation and evaluation of machine learning-based evaluation, which will be realised in Python using PyTorch or TensorFlow, for example.

If you are interested, please contact: Maik Rahlves