87 citations · 237 across the 10 of their papers we have counts for
12 papers
Early stage of Erythrocyte Sedimentation Rate test: Fracture of a high-volume-fraction gel
Thomas John, Lars Kaestner, Christian Wagner +1
Erythrocyte Sedimentation Rate (ESR) is a clinical parameter used as a non-specific marker for inflammation, and recent studies have shown that it is linked to the collapse of the…
Erythrocyte sedimentation: Effect of aggregation energy on gel structure during collapse
Anil Kumar Dasanna, Alexis Darras, Thomas John +4
The erythrocyte (or red blood cell) sedimentation rate (ESR) is commonly interpreted as a measure of cell aggregation and as a biomarker of inflammation. It is well known that an i…
Erythrocyte sedimentation: Fracture and collapse of a high-volume-fraction soft-colloid gel
Alexis Darras, Anil Kumar Dasanna, Thomas John +4
The erythrocyte sedimentation rate is one of the oldest medical diagnostic methods whose physical mechanisms remain debatable up to date. Using both light microscopy and mesoscale…
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…
Anti-margination of microparticles and platelets in the vicinity of branching vessels
C. Bächer, A. Kihm, L. Schrack +4
We investigate the margination of microparticles/platelets in blood flow through complex geometries typical for in vivo vessel networks: a vessel confluence and a bifurcation. Usin…
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…
The plasma protein fibrinogen stabilizes clusters of red blood cells in microcapillary flows
M. Brust, O. Aouane, M. Thiebaud +10
The supply of oxygen and nutrients and the disposal of metabolic waste in the organs depend strongly on how blood, especially red blood cells, flow through the microvascular networ…
Stimulation of human red blood cells leads to Ca2+-mediated intercellular adhesion
Patrick Steffen, Achim Jung, Duc Bach Nguyen +4
Red blood cells (RBCs) are a major component of blood clots, which form physiologically as a response to injury or pathologically in thrombosis. The active participation of RBCs in…