Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

Circulating tumor cells (CTCs) are rare tumor cells released from primary, metastatic, or
recurrent tumors in the peripheral blood of cancer patients. CTCs isolation from peripheral …

As a label‐free imaging technique, quantitative phase imaging (QPI) provides optical path
length information of transparent specimens for various applications in biology, materials …

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 …

Herein, we implement and access machine learning architectures to ascertain models that
differentiate healthy from apoptotic cells using exclusively forward (FSC) and side (SSC) …

The association of the intrinsic optical and biophysical properties of cells to homeostasis and
pathogenesis has long been acknowledged. Defining these label-free cellular features …

Cellular biophysical properties are the effective label‐free phenotypes indicative of
differences in cell types, states, and functions. However, current biophysical phenotyping …

Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …

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 …

In recent years, intracellular LDs have been discovered to play an important role in several
pathologies. Therefore, detection of LDs would provide an in-demand diagnostic tool if …