This article reviews the past and current statuses of time-domain near-infrared spectroscopy
(TD-NIRS) and imaging. Although time-domain technology is not yet widely employed due to …

This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …

Significance: Despite the ample progress made toward faster and more accurate Monte
Carlo (MC) simulation tools over the past decade, the limited usability and accessibility of …

The mesh-based Monte Carlo (MMC) algorithm is increasingly used as the gold-standard for
develo** new biophotonics modeling techniques in 3-D complex tissues, including both …

Light scattering by tissue severely limits how deep beneath the surface one can image, and
the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is …

Widefield illumination and detection strategies leveraging structured light have enabled fast
and robust probing of tissue properties over large surface areas and volumes. However …

Monte Carlo simulation techniques have become the quintessence and a pivotal nexus of
inquiry in the realm of simulating photon movement within biological fabrics. Through the …

Significance Pulsatile blood oxygen saturation (SpO 2) via pulse oximetry is a valuable
clinical metric for assessing oxygen delivery. Individual anatomical features, including skin …

Monte Carlo (MC) is a powerful tool to study photon migration in scattering media, yet quite
time-consuming to solve inverse problems. To speed up MC-simulations, scaling relations …

Quantitative photoacoustic tomography aims at estimating optical parameters from
photoacoustic images that are formed utilizing the photoacoustic effect caused by the …