Search Results for author:
Found 13 papers, 6 papers with code
Direct Motif Extraction from High Resolution Crystalline STEM Images
The results are a representation of the motif in form of an image, atomic positions, primitive unit cell vectors, and a denoised and a modeled reconstruction of the input image.
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategy
Cell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates.
Automated Characterization of Catalytically Active Inclusion Body Production in Biotechnological Screening Systems
To explore heterogeneity of CatIB development during the cultivation and track the size and quantity of CatIBs over time, a hybrid image processing pipeline approach was developed, which combines an ML-based detection of in-focus cells with model-based segmentation.
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis
Still, the proposed method performs on par with ML-based segmentation approaches usually used in this context.
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation
We equipped the MS functional with a novel robust distribution-dependent indicator function designed to handle the characteristic challenges of hyperspectral data.
Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest
We developed a new method for a fast, user-independent and reproducible analysis of material hemocompatibility tests, which is therefore a unique and powerful tool for advances in biomaterial research.
Variational Multi-Phase Segmentation using High-Dimensional Local Features
We propose a novel method for multi-phase segmentation of images based on high-dimensional local feature vectors.
Joint non-rigid image registration and reconstruction for quantitative atomic resolution scanning transmission electron microscopy
The bias-correction is responsible for the correction of the slow scan artifacts and based on a explicit coupling of the deformations of the individual images in a series via a minimization of the average deformation.
Applied Physics Image and Video Processing
A least-squares functional for joint exit wave reconstruction and image registration
We show that our objective functional is not convex with respect to the exit wave, which also carries over to the MAL and MIMAP functionals.
Numerical Analysis Numerical Analysis Functional Analysis
Mesh-to-raster based non-rigid registration of multi-modal images
The registration is formulated as a minimization problem where the objective consists of a data term, which involves the signed distance function of the ROI from the reference image, and a higher order elastic regularizer for the deformation.
Joint denoising and distortion correction of atomic scale scanning transmission electron microscopy images
Nowadays, modern electron microscopes deliver images at atomic scale.
Optimized imaging using non-rigid registration
The extraordinary improvements of modern imaging devices offer access to data with unprecedented information content.
Cortical Surface Co-Registration based on MRI Images and Photos
Brain shift, i. e. the change in configuration of the brain after opening the dura mater, is a key problem in neuronavigation.
