Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Portable fluorescence sensors have been developed for biochemical detection, water
quality monitoring, biomedical sensing, and many other applications. With help of …

Recent advances in deep learning have given rise to a new paradigm of holographic image
reconstruction and phase recovery techniques with real-time performance. Through data …

Detection of bioaerosols, or primary biological aerosol particles (PBAPs), has become
increasingly important for a wide variety of research communities and scientific questions. In …

Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …

In recent years, deep learning has been shown to be one of the leading machine learning
techniques for a wide variety of inference tasks. In addition to its mainstream applications …

The digital single-particle assay has emerged as a highly promising technology in various
detection applications, such as food safety inspection, environmental monitoring, and in vitro …

Digital holographic microscopy enables the 3D reconstruction of volumetric samples from a
single-snapshot hologram. However, unlike a conventional bright-field microscopy image …

Outdoor field measurements of bioaerosols are performed within a wide range of basic and
applied scientific disciplines, each with its own goals, assumptions, and terminology. This …

Sensing systems necessitate automation to reduce human effort, increase reproducibility,
and enable remote sensing. In this perspective, we highlight different types of sensing …