Spinal Cord Injury (SCI) can result in catastrophic loss of function. In the US, 450,000 people live with SCI. Ongoing neuroscience research focuses on ways to improve nervous tissue regeneration, including development of innovative biomaterials. Implantable scaffolds composed of aligned polymer fibers have shown considerable promise in directing regenerating axons in vitro and in vivo. Highly aligned polymer fibers are necessary for neural tissue engineering applications to ensure that axonal extension occurs efficiently through a regenerating environment.
Detecting differences at the cellular level is an ongoing problem which, if successfully addressed, could help solve several prevalent ailments, including cancers and prenatal diseases. Normal tissue function requires appropriate cell positioning and directional motion. This property, known as chirality, can be altered by genetic and environmental factors, leading to, for example, birth defects and tumor formation. Current methods to diagnose cancer are based on biomarkers, imaging, and analysis of tissue specimens.
The cross-section of an X-ray phase shift image is a thousand times greater than that of X-ray attenuation in soft tissue over the diagnostic energy range implying phase imaging can achieve a much higher signal-to-noise ratio and substantially lower radiation dose than attenuation-based X-ray imaging. Grating interferometry is a state of the art X-ray imaging approach, which can simultaneously acquire information of X-ray phase-contrast, dark-field, and linear attenuation. This imaging modality can reveal subtle texture of tissues.
Time of flight PET (TOF-PET) is an advance over traditional PET that uses the time difference in detection of the two photon events. TOF information provides better localization of the annihilation event along the line formed by each detector pair, resulting in an overall improvement in signal to noise ratio (SNR) of the reconstructed image. This technology uses a direct estimation of the sinogram only from TOF PET data.
Computed Tomography (CT) is an important tool in diagnostic imaging. It plays a key role in diagnosis and intervention. Many advanced CT systems use wide detector arrays, multiple sources, andor very fast rotation speed, for important clinical applications (e.g., coronary artery and whole organ perfusion imaging). As a result, modern CT scanners are expensive and are typically used by major hospitals and clinics in developed countries. Over the past decades, CT systems or methods have been proposed assuming linear translation-based scanning.