Now showing items 1-2 of 2
Automated classification of cell morphology by coherence-controlled holographic microscopy
In the last few years, classification of cells by machine learning has become frequently used in biology. However, most of the approaches are based on morphometric (MO) features, which are not quantitative in terms of cell ...
Distinctive behaviour of live biopsy-derived carcinoma cells unveiled using coherence-controlled holographic microscopy
Head and neck squamous cell carcinoma is one of the most aggressive tumours and is typically diagnosed too late. Late diagnosis requires an urgent decision on an effective therapy. An individualized test of chemosensitivity ...