Biomedical Technologies and Computing
Various technologies are investigated at MSB with the aim of developing diagnosis and treatment of diseases and improving the quality of life for people with disabilities. These include devices for point of care diagnostics, computer technologies for the interpretation of medical images or as support for surgeons as well as cochlear implants that allow deaf people to hear.
This group focuses on printing technologies for life science and point-of-care applications. In particular, it is interested in bioelectronic interfaces and sensor arrays for the stimulation and recording of chemical and electrical signals in cellular networks. The goal is to develop microfluidic biohybrid devices to investigate network-scale phenomena including cellular signal propagation, lesion response, and progressive neurodegeneration.
Measurements of Cell Function
Cells are the smallest integral unit of life. However, integrated testing of cell function and cell-cell interaction on various time scales is an unmet clinical need. In a highly interdisplinary research field at the Chair of Biomedical Electronics we focus on workflow integration and biosensing methods for precision measurements of cell function. (a) A magnetoresistive sensor, adopted from hard disk read heads, is tuned for single cell analysis with respect to cell size, magnetic loading of cells, and cell morphology. (b) To minimize Si area for bedside Point-of-Care Testing we have designed a functionalized semiconductor package housing a 2×2 mm² sensor in an injection moulded microfluidic device. (c) The system balances magnetophoretic and hydrodynamic forces for precise and highly reproducible probing of single cells and thus could provide cell function testing in an integrated workflow at the bedside for fast clinical outcome.
Bio-inspired Information Processing
The cochlear implant is the most successful neuroprostheses, and this project develops novel approaches for the advancement of neuroprostheses, where the main research focus lies on cochlear implants. They replace a full sensory organ and are able to restore hearing and especially speech understanding to a surprisingly high degree. The research success relies on the combination of theoretical concepts (models of the electrical excitation of neurons, sound processing in the auditory pathway), development of novel technology (e.g. binaural listening technology), objective measurements (recording of evoked neuronal potentials) and listening experiments, which is conducted in close collaboration with workgroups from the fields of biology, medicine and industry.
Website of the Bio-Inspired Information Processing group
Press release: Understanding hearing
MSB News:3D computer models improve cochlear implant design
Audio Information Processing
The Audio Information Processing group investigates the processing of sound in the human auditory system and uses this knowledge to improve hearing devices and audio systems. Experiments on how we perceive sounds guide the group in building signal processing models of the hearing system. Such models form the basis for audio coding („mp3“) and hearing device processing, and help design product sound quality.
The focus of the group is on improving hearing devices through novel approaches for audio coding in neuronal prostheses (cochlear implants) and hearing aids. They are interested in the brain’s processing of acoustic scenes with multiple sounds and reverberation because these are particularly challenging situations for people with hearing impairment.
Computer-aided Medical Procedures
This research project focuses on computer-aided medical procedures and augmented reality. The work involves developing technologies to improve the quality of medical interventions and bridges the gap between medicine and computer science. The research objective is to study and model medical procedures and introduce advanced computer integrated solutions to improve their quality, efficiency, and safety. We aim at improvements in medical technology for diagnosis and therapeutic procedures.
Website of the Chair for Computer Aided Medical Procedures & Augmented Reality
Press release: Clear view on stem cell development
In the Media: TV feature on medical augmented reality
Medical Image Computing
Our research is in medical image computing, exploring topics at the interface of medical computer vision, image-based modeling, and computational physiology with a strong application focus on oncology. Very broadly, we are interested in developing computational methods that will help in transforming the qualitative visual inspection of medical image data into a functional interpretation of the disease process. In this, we focus (1) on developing principled directions for integrating and abstracting information from complex multi-modal image data by using biophysical-statistical models, and (2) on further developing data-driven machine-learning approaches that provide means for embedding this model-driven analysis in a workflow capable of dealing with large clinical image data sets at the population scale.
In the long term, this work will provide the computational methods necessary to infer function from structure by modeling clinically relevant functional anatomy, and the technical means for developing new (patho-) physiological models at the same pace as novel imaging methods to generate more and more specific insights into anatomy and function.
Website of the Image-Based Biomedical Modeling group
"Seeing is understanding" – our goal is to enable us to see more by investigating computational approaches for novel imaging methods. Example applications include:
visualizing three-dimensional structures, such as a zebrafish brain, from a single planar microscopy image
as well as identifying microstructures, such as nerve fibers, in macroscopic objects like the human brain. Using techniques ranging from classical variational methods to modern deep learning approaches, we aim at developing new models and algorithms in computational imaging and inverse problems, in close collaboration with partners from medicine, biology, physics, and mathematics.
Anisotropic X-ray Dark-field Tomography of a human brain sample, showing the microstructure orientations. (Details in Wieczorek et al., Scientific Reports 8, 2018.)