87 citations · 154 across the 4 of their papers we have counts for
4 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…
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…