Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last
decade, owing to its unique capabilities for imaging optical properties and chromophores …

Significance: Biomedical optics system design, image formation, and image analysis have
primarily been guided by classical physical modeling and signal processing methodologies …

Text mining in the optical-materials domain is becoming increasingly important as the
number of scientific publications in this area grows rapidly. Language models such as …

The ability to auto-generate databases of optical properties holds great potential for
advancing optical research, especially with regards to the data-driven discovery of optical …

Accurate assessment of burn severity is critical for wound care and the course of treatment.
Delays in classification translate to delays in burn management, increasing the risk of …

The development of real-time, wide-field and quantitative diffuse optical imaging methods to
visualize functional and structural biomarkers of living tissues is a pressing need for …

Finding the optical properties of tissue is essential for various biomedical
diagnostic/therapeutic applications such as monitoring of blood oxygenation, tissue …

Dynamic, in vivo measurement of the optical properties of biological tissues is still an elusive
and critically important problem. Here we develop a technique for inverting a Monte Carlo …

We present a deep learning framework for wide-field, content-aware estimation of
absorption and scattering coefficients of tissues, called Generative Adversarial Network …

With the continued development of non-toxic photosensitizer drugs, interstitial photodynamic
therapy (iPDT) is showing more favorable outcomes in recent clinical trials. IPDT planning is …