Automatic quantification and classification of leukocytes in microscopic images are of
paramount importance in the perspective of disease identification, its progress and drugs …

The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a
hot issue because of its important applications in disease diagnosis. Nowadays the …

This paper proposes image processing algorithms to recognize five types of white blood
cells in peripheral blood automatically. First, a method based on Gram–Schmidt …

MELK is an ultrasensitive topological proteomics technology analysing proteins on the
single cell level (Multi-Epitope-Ligand-'Kartographie'). It can trace out large scale protein …

In this paper, we report on the first edition of the HEp-2 Cells Classification contest, held at
the 2012 edition of the International Conference on Pattern Recognition, and focused on …

Abstract The Large Scale Digital Cell Analysis System (LSDCAS) developed at the
University of Iowa provides capabilities for extended-time live cell image acquisition. This …

During cellular reprogramming, the mesenchymal-to-epithelial transition is accompanied by
changes in morphology, which occur prior to iPSC colony formation. The current approach …

Background: The recommended method for antinuclear antibodies (ANA) detection is
indirect immunofluorescence (IIF). To pursue a high image quality without artefacts and …

In the diagnosis of skin melanoma by analyzing histopathological images, the detection of
the melanocytes in the epidermis area is an important step. However, the detection of …

A comprehensive introduction to innovative methods in the field of biomedical signal
analysis, covering both theory and practice. Biomedical signal analysis has become one of …