For decades now, photoacoustic imaging (PAI) has been investigated to realize its potential
as a niche biomedical imaging modality. Despite its highly desirable optical contrast and …

Medical microrobots (MRs) have been demonstrated for a variety of non-invasive biomedical
applications, such as tissue engineering, drug delivery, and assisted fertilization, among …

We have developed a single-breath-hold photoacoustic computed tomography (SBH-PACT)
system to reveal detailed angiographic structures in human breasts. SBH-PACT features a …

Photoacoustic computed tomography (PACT) has generated increasing interest for uses in
preclinical research and clinical translation. However, the imaging depth, speed, and quality …

Recent advances in deep learning for tomographic reconstructions have shown great
potential to create accurate and high quality images with a considerable speed up. In this …

Abstract Machine learning has been developed dramatically and witnessed a lot of
applications in various fields over the past few years. This boom originated in 2009, when a …

Photoacoustic (PA) imaging is an emerging medical imaging modality that combines optical
excitation and ultrasound detection. Because ultrasound scatters much less than light in …

Non-invasive detection of breast cancer has been regarded as the holy grail of applications
for photoacoustic (optoacoustic) imaging right from the early days of re-discovery of the …

Photoacoustic imaging (PAI) is a noninvasive hybrid imaging modality offering rich optical
contrast and high depth‐to‐resolution ratio deep‐tissue imaging. Endogenous …

Conventional reconstruction algorithms (eg, delay-and-sum) used in photoacoustic imaging
(PAI) provide a fast solution while many artifacts remain, especially for limited-view with ill …