Ovarian cancer has the sixth-largest fatality rate in the United States among all cancers. A
non-surgical assay capable of detecting ovarian cancer with acceptable sensitivity and …

Ovarian cancer has the lowest survival rate among all gynecologic cancers due to predominantly
late diagnosis. Optical coherence tomography (OCT) has been applied successfully to …

Multispectral imaging captures spatial information across a set of discrete spectral channels
and is widely utilized across diverse applications such as remote sensing, industrial …

Background & Aims Efforts to characterize the signaling mechanisms that underlie
gastroenteropancreatic neoplasms (GEP-NENs) are precluded by a lack of comprehensive models …

Hyperspectral imaging (HSI) systems collect both spatial (morphological) and spectral (chemical)
information from a sample. HSI can provide sensitive analysis for biological and …

Significance Knowledge of fiber microstructure and orientation in the brain is critical for
many applications. Polarized light imaging (PLI) has been shown to have potential for better …

Understanding microscale physiology and microstructural cellular features of the brain is
key to understanding mechanisms of neurodegenerative diseases and injury, as well as …

Gastroenteropancreatic neuroendocrine tumors (GEP‐NETs) are heterogeneous malignancies
that arise from complex cellular interactions within the tissue microenvironment. Here, we …

Ovarian cancer is the deadliest gynecologic cancer due predominantly to late diagnosis. Early
detection of ovarian cancer can increase 5-year survival rates from 40% up to 92%, yet no …

Background and Objectives To determine the efficacy of targeted fluorescent biomarkers
and multiphoton imaging to characterize early changes in ovarian tissue with the onset of …