To understand complex biological processes, scientists must gain insight into the function of
individual living cells. In contrast to the imaging of fixed cells, where a single snapshot of the …

Significance: We introduce an application of machine learning trained on optical phase
features of epithelial and mesenchymal cells to grade cancer cells' morphologies, relevant to …

Observation and analysis of cancer cell behaviour in 3D environment is essential for full
understanding of the mechanisms of cancer cell invasion. However, label-free imaging of …

The investigation of in-vitro response of cell cultures derived from tumor material of
individual patients with similar tumor localizations to photodynamic treatment is presented …

Robust and reproducible profiling of cell lines is essential for phenotypic screening assays.
The goals of this study were to determine robust and reproducible optical phase signatures …

Featured Application Digital holographic cytometry for classification of programmed cell
death. Abstract Apoptosis, ferroptosis and necroptosis are three distinct forms of …

Phase-derived parameters and time autocorrelation functions were used to analyze the
behavior of murine B16 cells exposed to different amplitudes of electroporation pulses. Cells …

Gliomas are the most common type of cerebral tumors; they occur with increasing incidence
in the last decade and have a high rate of mortality. For efficient treatment, fast accurate …

The reconstructed phase images (PIs) from digital holographic microscopy contain in each
pixel values of the phase shift introduced by the sample in optical path, which allow to …

Quantitative phase imaging enables precise characterization of cellular shape and motion.
Variation of cell volume in populations of cardiomyocytes can help distinguish their types …