Label-free optical imaging employs natural and non-destructive approaches to visualize
biomedical samples for both biological assays and clinical diagnosis. At present, this field …

In the last decades, the understanding of the complex biological mechanisms that regulate
the life and growth of single cells and their reciprocal interaction has steadily increased. In …

Quantitative Phase Imaging (QPI) provides unique means for the imaging of biological or
technical microstructures, merging beneficial features identified with microscopy …

Rapid screening of red blood cells for active infection of COVID-19 is presented using a
compact and field-portable, 3D-printed shearing digital holographic microscope. Video …

We propose a new deep learning approach for medical imaging that copes with the problem
of a small training set, the main bottleneck of deep learning, and apply it for classification of …

We demonstrate a successful deep learning strategy for cell identification and disease
diagnosis using spatio-temporal cell information recorded by a digital holographic …

We present a new tomographic phase microscopy (TPM) approach that allows capturing the
three-dimensional refractive index structure of single cells in suspension without labeling …

We present a method for real‐time visualization and automatic processing for detection and
classification of untreated cancer cells in blood during stain‐free imaging flow cytometry …

Motivation New single-cell technologies continue to fuel the explosive growth in the scale of
heterogeneous single-cell data. However, existing computational methods are inadequately …

Common cameras are only sensitive to the intensity of light, discarding an essential feature
of a light wave: its phase profile or, equivalently, its wavefront profile. This Review focuses …