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Fiber optic probe with integrated photodetector capabilities
Unmet Need Light-based diagnostics is a non-intrusive procedure that can be used to monitor chemotherapy treatment efficacy. Optical imaging additionally has the capacity for roles in diagnosis and surgery guidance. Currently, many devices for optic…
An optical coherence tomography system capable of automatically and accurately imaging eyes without the use of chinrests
Unmet Need Optical coherence tomography (OCT) has revolutionized structural imaging in the eye’s anterior segment and retina. Ophthalmologists now routinely employ OCT in managing ocular diseases, including age-related macular degeneration, diabetic retinopathy, glaucoma, and corneal…
Automatic segmentation software to diagnose retinopathy of prematurity (ROP) from optical coherence tomography images in preterm infants
Unmet Need Retinopathy of prematurity (ROP) is a developmental vascular proliferative disorder that occurs in approximately 50-70% of preterm infants and is a leading cause of childhood blindness. The most critical factor in identifying ROP…
Efficient scan patterns for scanning laser microscopy systems
Unmet Need Scanning imaging systems, such as confocal scanning laser ophthalmoscopy (cSLO), hold great promise in the clinic to diagnose a variety of retinal disease like diabetic retinopathy. These systems are particularly promising for applications…
Feature-Guided Image Fusion of Intrasurgical Optical Coherence Tomography and Digital Surgical Microscopy
Unmet Need Eye surgery is a high-impact intervention necessary to preserve the sight of thousands of patients, with retinal detachment surgeries alone constituting approximately 28,000 cases per year in the United States alone. Microscope-integrated optical…
All dielectric absorber for improved real-time imaging in the terahertz spectrum
Value Proposition Discoveries over the past decades have unveiled unique characteristics of the far-infrared or terahertz (THz) spectrum spanning from 0.3 THz to 10 THz, including non-ionization of biological materials, easy penetration into dielectric and…
Smart microscope for diagnosing disease
Value Proposition Since its invention, the microscope has been optimized for interpretation by a human observer. Recently, however, deep learning algorithms have been developed for automated image analysis in a variety of important contexts, such…
Near-infrared fluorescent proteins for live cell and animal imaging
Unmet Need Fluorescent microscopy is one of the most common research tools used by biologists and has a global market value expected to exceed $768 million by 2023. Many of the currently available fluorescent protein…
Memory-efficient deep learning algorithms for computed tomography image reconstruction
Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…
Novel system for improved aiming during optical coherence tomography imaging of young children
Unmet Need When a retinal condition is suspected in a patient, optical coherence tomography (OCT) is used to obtain detailed images of the retina. Due to the large amount of data needed to be processed…
Systems and methods to noninvasively enhance the visual acuity for patients with retinal prostheses
Unmet Need Degenerative eye diseases lead to a profound decrease in quality of life, and their incidence is on the rise. In high- and middle-income countries, age-related macular degeneration is the main and growing cause…
Virtual frequency-selective inversion method for fat suppression in MRI
Unmet Need In magnetic resonance imaging (MRI), data is acquired by a scanner that sends a sequence of radio frequency (RF) pulses into the tissue placed in a strong magnetic field. The magnetic field causes…