hiPSC-derived schwann cells influence myogenic differentiation in neuromuscular cocultures

SJ Hörner, N Couturier, R Bruch, P Koch, M Hafner… - Cells, 2021 - mdpi.com
Motoneurons, skeletal muscle fibers, and Schwann cells form synapses, termed
neuromuscular junctions (NMJs). These control voluntary body movement and are affected …

Autonomous processes in particle technology

H Nirschl, M Winkler, T Sinn… - Chemie Ingenieur …, 2022 - Wiley Online Library
Battery materials, pharmaceuticals, solar cells, coffee powder, 3D printed components, etc.,
all these products have in common that they are predominantly made of particles. Ensuring …

[PDF][PDF] Label assistant: A workflow for assisted data annotation in image segmentation tasks

MP Schilling, L Rettenberger, F Münke… - Proceedings—31 …, 2021 - library.oapen.org
Recent research in the field of computer vision strongly focuses on deep learning
architectures to tackle image processing problems. Deep neural networks are often …

Deep Joint Denoising and Detection for Enhanced Intracellular Particle Analysis

Y Yao, I Smal, I Grigoriev, A Akhmanova… - arXiv preprint arXiv …, 2024 - arxiv.org
Reliable analysis of intracellular dynamic processes in time-lapse fluorescence microscopy
images requires complete and accurate tracking of all small particles in all time frames of the …

[PDF][PDF] Multiple Object Tracking in Light Microscopy Images Using Graph-based and Deep Learning Methods

K Löffler - 2023 - d-nb.info
Abstract Multiple Object Tracking (MOT) is a problem in image analysis that involves the
localization and linking of objects in an image sequence over time with numerous …

[HTML][HTML] Quantitative approaches to study retinal neurogenesis

D Pérez-Dones, M Ledesma-Terrón, DG Míguez - Biomedicines, 2021 - mdpi.com
The study of the development of the vertebrate retina can be addressed from several
perspectives: from a purely qualitative to a more quantitative approach that takes into …

Collaborative Filtering based Generative Networks

R Srinivas - 2021 - scholar.smu.edu
Collaborative Filtering, a popular method for recommendation engines, models its
predictions using past interactions between the entities in question (aka users/movies or …

Machine Learning-based Detection of Spherical Markers in CT Volumes

DD Rao, N Maass, F Dennerlein, A Maier… - Bildverarbeitung für die …, 2022 - Springer
X-ray CT geometry alignment procedures commonly use phantoms with spherical markers
to estimate the geometry parameters. Obtaining precise 3D positions of the markers is …