Multiscale visualization of human anatomical structures is revolutionizing clinical diagnosis
and treatment. As one of the most promising clinical diagnostic techniques, photoacoustic …

Integration of optical technologies in biomedical sciences permitted light manipulation at
smaller time‐length scales for specific detection and imaging of biological entities. Similarly …

Photoacoustic flow cytometry is one of the most effective approaches to detect “alien” objects
in the bloodstream, including circulating tumor cells, blood clots, parasites, and emboli …

Breast cancer is the most common cancer, and triple‐negative breast cancer (TNBC) has the
highest metastasis and mortality rate among all breast cancer subtypes. Rujifang is a …

Flow cytometry (FC) is a versatile tool with excellent capabilities to detect and measure
multiple characteristics of a population of cells or particles. Notable advancements in in vivo …

Many approaches in machine learning require a measure of distance between data points.
Traditionally, practitioners would choose a standard distance metric (Euclidean, City-Block …

The problem of identifying extremely rare populations of objects (of the order of units per
volume of a standard blood test) in flow cytometry has aroused interest in in vivo cytometry …

The report is devoted to applications of artificial intelligence (AI) methods for laser
absorption and Raman spectroscopy data analysis, including data preprocessing, complex …