We developed computational pipelines to automatically detect, segment, and quantify human and mouse neutrophil extracellular traps (NETs) from flow cytometry and confocal microscopy images. NETs are extracellular defense mechanisms used by neutrophils, where chromatin is expelled together with histones and granular/cytoplasmic proteins, and have become an immunology hotspot, implicated in infections, but also in a diverse array of diseases such as systemic lupus erythematosus, diabetes, and cancer. Our approach will be useful in infectious and inflammatory diseases.
We have developed a fully automated pipeline targeted for erythrocyte detection and quantification from blood smear whole slide images (WSIs). Our pipeline has implication in the diagnosis of hematological disorders like sickle cell anemia.