Recent advances in deformation-assisted microfluidic cell sorting technologies
Cell sorting is an essential prerequisite for cell research and has great value in life science
and clinical studies. Among the many microfluidic cell sorting technologies, label-free …
and clinical studies. Among the many microfluidic cell sorting technologies, label-free …
[HTML][HTML] Shear stress and endothelial mechanotransduction in trauma patients with hemorrhagic shock: hidden coagulopathy pathways and novel therapeutic …
A Chalkias - International Journal of Molecular Sciences, 2023 - mdpi.com
Massive trauma remains a leading cause of death and a global public health burden. Post-
traumatic coagulopathy may be present even before the onset of resuscitation, and …
traumatic coagulopathy may be present even before the onset of resuscitation, and …
[HTML][HTML] Classification of red cell dynamics with convolutional and recurrent neural networks: a sickle cell disease case study
The fraction of red blood cells adopting a specific motion under low shear flow is a promising
inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its …
inexpensive marker for monitoring the clinical status of patients with sickle cell disease. Its …
[HTML][HTML] Cell deformability heterogeneity recognition by unsupervised machine learning from in-flow motion parameters
Cell deformability is a well-established marker of cell states for diagnostic purposes.
However, the measurement of a wide range of different deformability levels is still …
However, the measurement of a wide range of different deformability levels is still …
AI-based analysis of 3D position and orientation of red blood cells using a digital in-line holographic microscopy
The morphological and mechanical characteristics of red blood cells (RBCs) largely vary
depending on the occurrence of hematologic disorders. Variations in the rheological …
depending on the occurrence of hematologic disorders. Variations in the rheological …
[HTML][HTML] Classification of chemically modified red blood cells in microflow using machine learning video analysis
We classify native and chemically modified red blood cells with an AI based video classifier.
Using TensorFlow video analysis enables us to capture not only the morphology of the cell …
Using TensorFlow video analysis enables us to capture not only the morphology of the cell …
[HTML][HTML] Digital in-line holographic microscopy for label-free identification and tracking of biological cells
J Kim, SJ Lee - Military Medical Research, 2024 - Springer
Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free
technique that captures three-dimensional (3D) positional, orientational, and morphological …
technique that captures three-dimensional (3D) positional, orientational, and morphological …
Rotational dynamics of a neutrally buoyant prolate spheroid in viscoelastic shear flows at finite Reynolds numbers
Non-spherical particles exhibit peculiar behaviour in non-Newtonian flows. In this paper, we
numerically investigate the dynamics of a neutrally buoyant prolate spheroid immersed in …
numerically investigate the dynamics of a neutrally buoyant prolate spheroid immersed in …
[HTML][HTML] Observation of non-equilibrium fluctuation in the shear-stress-driven hemoglobin aggregates
Non-equilibrium fluctuations caused by the rearrangement of hemoglobin molecules into an
aggregate state under shear stress have been investigated experimentally. The flow …
aggregate state under shear stress have been investigated experimentally. The flow …
Cell size and deformation measurement using constrictions integrated into a microfluidic device
M Horade, M Moriga, S Murakami - Physica Scripta, 2024 - iopscience.iop.org
In this study, we developed a microfluidic device to evaluate cell size and deformability. As a
specific method, a physical pushing load was applied to the cells using a channel having a …
specific method, a physical pushing load was applied to the cells using a channel having a …