A5002877480- Advanced Fluorescence Microscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- Near-Field Optical Microscopy
- Cell Image Analysis Techniques
- Electron Spin Resonance Studies
- Lung Cancer Diagnosis and Treatment
- Surgical Simulation and Training
- Augmented Reality Applications
- Esophageal Cancer Research and Treatment
- Image Processing Techniques and Applications
- Radiation Therapy and Dosimetry
- Medical Imaging Techniques and Applications
- Anatomy and Medical Technology
- Radiation Detection and Scintillator Technologies
- Esophageal and GI Pathology
- Advanced Radiotherapy Techniques
European Molecular Biology Laboratory
2020-2024
Heidelberg University
2017-2023
German Cancer Research Center
2017-2023
Heidelberger Institut für Radioonkologie
2017
We report on the development of open-source cross-platform radiation treatment planning toolkit matRad and its comparison against validated systems. The enables three-dimensional intensity-modulated therapy for photons, scanned protons carbon ions.matRad is entirely written in Matlab freely available online. It re-implements well-established algorithms employing a modular sequential software design to model entire workflow. comprises core functionalities import DICOM data, calculate optimize...
As human failure has been shown to be one primary cause for post-operative death, surgical training is of the utmost socioeconomic importance. In this context, concept telestration introduced enable experienced surgeons efficiently and effectively mentor trainees in an intuitive way. While previous approaches have concentrated on overlaying drawings videos, we explore augmented reality (AR) visualization hands imitate direct interaction with situs.
ABSTRACT Single-molecule localization microscopy (SMLM) has had remarkable success in imaging cellular structures with nanometer resolution, but the need for activating only single isolated emitters limits speed and labeling density. Here, we overcome this major limitation using deep learning. We developed DECODE, a computational tool that can localize at high density 3D highest accuracy large range of modalities conditions. In public software benchmark competition, it outperformed all other...
The point spread function (PSF) of a microscope describes the image emitter. Knowing accurate PSF model is essential for various imaging tasks, including single molecule localization, aberration correction and deconvolution. Here we present uiPSF (universal inverse modelling Point Spread Functions), toolbox to infer models from microscopy data, using either stacks fluorescent beads or directly images blinking fluorophores, raw data in localization (SMLM). resulting enables 3D...
Abstract Objective To optimize anastomotic technique and gastric conduit perfusion with hyperspectral imaging (HSI) for total minimally invasive esophagectomy (MIE) linear stapled anastomosis. Summary Background Data Esophagectomy is the mainstay of esophageal cancer treatment but insufficiency related morbidity mortality remain challenging patient outcome. Methods A live porcine model (n=50) MIE was used formation side-to-side esophagogastrostomy. Four main experimental groups differed in...
Single-molecule localization fluorescence microscopy constructs super-resolution images by sequential imaging and computational of sparsely activated fluorophores. Accurate efficient fluorophore algorithms are key to the success this method. We present a novel algorithm based on deep learning which significantly improves upon state art. Our contributions network architecture for simultaneous detection localization, new loss function phrases as Bayesian inference problem, thus allows provide...