44 citations · 67 across the 4 of their papers we have counts for
6 papers
Lingering Dynamics in Microvascular Blood Flow
A. Kihm, S. Quint, M. W. Laschke +4
The microvascular networks in the body of vertebrates consist of the smallest vessels such as arterioles, capillaries, and venules. The flow of RBCs through these networks ensures…
Artificial neural networks for 3D cell shape recognition from confocal images
G. Simionato, K. Hinkelmann, R. Chachanidze +7
We present a dual-stage neural network architecture for analyzing fine shape details from microscopy recordings in 3D. The system, tested on red blood cells, uses training data fro…
Cross-sectional focusing of red blood cells in a constricted microfluidic channel
Asena Abay, Steffen M. Recktenwald, Thomas John +2
Constrictions in blood vessels and microfluidic devices can dramatically change the spatial distribution of passing cells or particles and are commonly used in biomedical cell sort…
Classification of red blood cell shapes in flow using outlier tolerant machine learning
Alexander Kihm, Lars Kaestner, Christian Wagner +1
The manual evaluation, classification and counting of biological objects demands for an enormous expenditure of time and subjective human input may be a source of error. Investigat…
3D tomography of cells in micro-channels
S. Quint, A. F. Christ, A. Guckenberger +4
We combine confocal imaging, microfluidics and image analysis to record 3D-images of cells in flow. This enables us to recover the full 3D representation of several hundred living…
The buckling instability of aggregating red blood cells
Daniel Flormann, Othmane Aouane, Lars Kaestner +4
Plasma proteins such as fibrinogen induce the aggregation of red blood cells (RBC) into rouleaux, which are responsible for the pronounced shear thinning behavior of blood, control…