Tissue clearing of gross anatomical samples was first described more than a century ago
and has only recently found widespread use in the field of microscopy. This renaissance has …

Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables
spatially resolved imaging of optical tissue properties up to several centimeters deep in …

Monte Carlo (MC) codes are increasingly spreading in the hadrontherapy community due to
their detailed description of radiation transport and interaction with matter. The suitability of a …

An end-to-end deep neural network, ResU-net, is developed for quantitative photoacoustic
imaging. A residual learning framework is used to facilitate optimization and to gain better …

Transcranial magnetic stimulation (TMS) and transcranial electric stimulation (TES) are
increasingly popular methods to noninvasively affect brain activity. However, their …

Significance: Photoacoustic (PA) imaging can provide structural, functional, and molecular
information for preclinical and clinical studies. For PA imaging (PAI), non-ideal signal …

Objective Dynamic positron emission tomography (PET), which reveals information about
both the spatial distribution and temporal kinetics of a radiotracer, enables quantitative …

As the most accurate model for simulating light propagation in heterogeneous tissues,
Monte Carlo (MC) method has been widely used in the field of optical molecular imaging …

Many radiotherapy research centers have recently installed novel research platforms
enabling the investigation of the radiation response of tumors and normal tissues in small …

Small animal research is an essential tool in studying both pharmaceutical biodistribution
and disease progression over time. Furthermore, through the rapid development of in vivo …