Background:“Artificial intelligence” and “big data” increasingly take the step from just being
interesting concepts to being relevant or even part of our lives. This general statement holds …

Red blood cells (RBCs) are the most abundant cell type in the human body and critical
suppliers of oxygen. The cells are characterized by a simple structure with no internal …

Combining microfluidics technology with machine learning represents an innovative
approach to conduct massive quantitative cell behavior study and implement smart decision …

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 …

Aims: Most blood diseases, such as chronic anemia, leukemia (commonly known as blood
cancer), and hematopoietic dysfunction, are caused by environmental pollution …

Abstract Coronavirus disease 2019 (COVID-19) is caused by the Severe Acute Respiratory
Syndrome Coronavirus 2 (SARS-CoV-2) and can affect multiple organs, among which is the …

In many medical disciplines, red blood cells are discovered to be biomarkers since they
“experience” various conditions in basically all organs of the body. Classical examples are …

Convolutional neural networks (ConvNets) have proven to be successful in both the
classification and semantic segmentation of cell images. Here we establish a method for cell …

Previous works on segmentation of SEM (scanning electron microscope) blood cell image
ignore the semantic segmentation approach of whole‐slide blood cell segmentation. In the …

Lift forces are widespread in hydrodynamics. These are typically observed for big and fast
objects and are often associated with a combination of fluid inertia (ie large Reynolds …