no code implementations • 13 Mar 2023 • Amel Shamseldeen Ali Alhasan, Siyuan Zhang, Benjamin Berkels
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.
1 code implementation • 20 Oct 2022 • Karina Ruzaeva, Jan-Christopher Cohrs, Keitaro Kasahara, Dietrich Kohlheyer, Katharina Nöh, Benjamin Berkels
Cell tracking is an essential tool in live-cell imaging to determine single-cell features, such as division patterns or elongation rates.
no code implementations • 30 Sep 2022 • Karina Ruzaeva, Kira Küsters, Wolfgang Wiechert, Benjamin Berkels, Marco Oldiges, Katharina Nöh
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.
no code implementations • 3 May 2022 • Karina Ruzaeva, Katharina Nöh, Benjamin Berkels
Still, the proposed method performs on par with ML-based segmentation approaches usually used in this context.
1 code implementation • 28 Mar 2022 • Jan-Christopher Cohrs, Chandrajit Bajaj, Benjamin Berkels
We equipped the MS functional with a novel robust distribution-dependent indicator function designed to handle the characteristic challenges of hyperspectral data.
no code implementations • 13 Oct 2020 • Johanna C. Clauser, Judith Maas, Jutta Arens, Thomas Schmitz-Rode, Ulrich Steinseifer, Benjamin Berkels
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.
1 code implementation • 26 Feb 2019 • Niklas Mevenkamp, Benjamin Berkels
We propose a novel method for multi-phase segmentation of images based on high-dimensional local feature vectors.
1 code implementation • 7 Jan 2019 • Benjamin Berkels, Christian H. Liebscher
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
1 code implementation • 30 Nov 2018 • Christian Doberstein, Benjamin Berkels
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
no code implementations • 6 Mar 2017 • Rosalia Tatano, Benjamin Berkels, Thomas M. Deserno
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.
no code implementations • 24 Dec 2016 • Benjamin Berkels, Benedikt Wirth
Nowadays, modern electron microscopes deliver images at atomic scale.
1 code implementation • 26 Mar 2014 • Benjamin Berkels, Peter Binev, Douglas A. Blom, Wolfgang Dahmen, Robert C. Sharpley, Thomas Vogt
The extraordinary improvements of modern imaging devices offer access to data with unprecedented information content.
no code implementations • 22 Mar 2013 • Benjamin Berkels, Ivan Cabrilo, Sven Haller, Martin Rumpf, Carlo Schaller
Brain shift, i. e. the change in configuration of the brain after opening the dura mater, is a key problem in neuronavigation.