Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tim Scherr"'
Autor:
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101638- (2024)
Automated microscopy techniques combined with high-throughput microfluidic cultivation systems provide unique insights into living microorganisms, enabling hundreds of experiments to be performed in parallel. Such setups generate large data sets with
Externí odkaz:
https://doaj.org/article/940a48668008476a86e40db4a5f2dfd8
Autor:
Marcel P. Schilling, Tim Scherr, Friedrich R. Munke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
Publikováno v:
IEEE Access, Vol 10, Pp 2753-2765 (2022)
Supervised deep learning approaches for automated diagnosis support require datasets annotated by experts. Intra-annotator variability of a single annotator and inter-annotator variability between annotators can affect the quality of the diagnosis su
Externí odkaz:
https://doaj.org/article/3925045a2d3447d08e0632ec793eca1b
Autor:
Tim Scherr, Johannes Seiffarth, Bastian Wollenhaupt, Oliver Neumann, Marcel P Schilling, Dietrich Kohlheyer, Hanno Scharr, Katharina Nöh, Ralf Mikut
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277601 (2022)
In biotechnology, cell growth is one of the most important properties for the characterization and optimization of microbial cultures. Novel live-cell imaging methods are leading to an ever better understanding of cell cultures and their development.
Externí odkaz:
https://doaj.org/article/f6279da0196f4b62b3bba708d46e2bfe
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0249257 (2021)
Automatic cell segmentation and tracking enables to gain quantitative insights into the processes driving cell migration. To investigate new data with minimal manual effort, cell tracking algorithms should be easy to apply and reduce manual curation
Externí odkaz:
https://doaj.org/article/c2468105f9d34cb293f7a8ada0e5f24e
Autor:
Moritz Böhland, Lars Tharun, Tim Scherr, Ralf Mikut, Veit Hagenmeyer, Lester D R Thompson, Sven Perner, Markus Reischl
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257635 (2021)
When approaching thyroid gland tumor classification, the differentiation between samples with and without "papillary thyroid carcinoma-like" nuclei is a daunting task with high inter-observer variability among pathologists. Thus, there is increasing
Externí odkaz:
https://doaj.org/article/f1cd060f440044d3b6b4f08051f6350e
Autor:
Masanari Takamiya, Johannes Stegmaier, Andrei Yu Kobitski, Benjamin Schott, Benjamin D Weger, Dimitra Margariti, Angel R Cereceda Delgado, Victor Gourain, Tim Scherr, Lixin Yang, Sebastian Sorge, Jens C Otte, Volker Hartmann, Jos van Wezel, Rainer Stotzka, Thomas Reinhard, Günther Schlunck, Thomas Dickmeis, Sepand Rastegar, Ralf Mikut, Gerd Ulrich Nienhaus, Uwe Strähle
Publikováno v:
PLoS Genetics, Vol 16, Iss 6, p e1008774 (2020)
Cranial neural crest (NC) contributes to the developing vertebrate eye. By multidimensional, quantitative imaging, we traced the origin of the ocular NC cells to two distinct NC populations that differ in the maintenance of sox10 expression, Wnt sign
Externí odkaz:
https://doaj.org/article/8e4da45e746442678c656ac1c39e9a74
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243219 (2020)
The accurate segmentation and tracking of cells in microscopy image sequences is an important task in biomedical research, e.g., for studying the development of tissues, organs or entire organisms. However, the segmentation of touching cells in image
Externí odkaz:
https://doaj.org/article/d2d891646550461bb9b301e2364eb6a2
Autor:
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, Estibaliz Gómez-de-Mariscal, Tereza Nečasová, Fidel A. Guerrero Peña, Tsang Ing Ren, Elliot M. Meyerowitz, Tim Scherr, Katharina Löffler, Ralf Mikut, Tianqi Guo, Yin Wang, Jan P. Allebach, Rina Bao, Noor M. Al-Shakarji, Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan, Filip Lux, Petr Matula, Ko Sugawara, Klas E. G. Magnusson, Layton Aho, Andrew R. Cohen, Assaf Arbelle, Tal Ben-Haim, Tammy Riklin Raviv, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein, Yanming Zhu, Cristina Ederra, Ainhoa Urbiola, Erik Meijering, Alexandre Cunha, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solórzano
Publikováno v:
Nature Methods.
The Cell Tracking Challenge is an ongoing benchmarking initiative that has become a reference in cell segmentation and tracking algorithm development. Here, we present a significant number of improvements introduced in the challenge since our 2017 re
Autor:
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
Publikováno v:
bioRxiv 4 pp. (2022). doi:10.1101/2022.08.01.502297
SummaryReliable deep learning segmentation for microfluidic live-cell imaging requires comprehensive ground truth data. ObiWan-Microbi is a microservice platform combining the strength of state-of-the-art technologies into a unique integrated workflo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::263f4c714841cdf7c782a6763f3de1bf
https://doi.org/10.1101/2022.08.01.502297
https://doi.org/10.1101/2022.08.01.502297
Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study
Autor:
Yong Hu, Pengchao Sun, Christof M. Niemeyer, Sahana Sheshachala, Andreas Bartschat, Tim Scherr, Maximilian Grösche, Ralf Mikut
Publikováno v:
Chemphyschem
ChemPhysChem, 21 (10), 1070–1078
ChemPhysChem, 21 (10), 1070–1078
Dispersed negatively charged silica nanoparticles segregate inside microfluidic water‐in‐oil (W/O) droplets that are coated with a positively charged lipid shell. We report a methodology for the quantitative analysis of this self‐assembly proce