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

Histological artefacts in cryosectioned tissue can hinder rapid diagnostic assessments
during surgery. Formalin-fixed and paraffin-embedded (FFPE) tissue provides higher quality …

From cancer diagnosis to detailed characterization of arterial wall biomechanics, the elastic
property of tissues is widely studied as an early sign of disease onset. The fibrous structural …

Specular reflections (ie, highlight) always exist in endoscopic images, and they can severely
disturb surgeons' observation and judgment. In an augmented reality (AR)-based surgery …

This paper presents a deep-learning-based algorithm dedicated to the processing of
speckle noise in phase measurements in digital holographic interferometry. The deep …

Volume Projection Imaging from ultrasound data is a promising technique to visualize spine
features and diagnose Adolescent Idiopathic Scoliosis. In this paper, we present a novel …

Speckle denoising can improve digital holographic interferometry phase measurements but
may affect experimental accuracy. A deep-learning-based speckle denoising algorithm is …

Extracting quantitative information about highly scattering surfaces from an imaging system
is challenging because the phase of the scattered light undergoes multiple folds upon …

Multiple exposure speckle imaging has demonstrated its improved accuracy compared to
single exposure speckle imaging for relative quantitation of blood flow in vivo. However, the …

Images recorded by coherent imaging systems, including laser-based photography, digital
holography (DH), and digital holographic microscopy (DHM), are severely distorted by …