These fibers can be found in every tissue in the human body, underlying every organ’s function and dysfunction.

Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The ...

Lensless imaging and image reconstruction techniques represent a transformative approach in computational imaging, where conventional optical lenses are replaced by thin, custom-designed masks. This ...

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...

A simple light-based method is uncovering hidden fiber networks inside the brain and body, even in tissue slides over 100 years old.

Researchers at Rochester Institute of Technology developed new artificial intelligence techniques to extract and visualize information from standard-of-care biomedical data, providing a means for ...

Advancements in quantum imaging are transforming scientific research, offering unprecedented resolution and sensitivity for ...

A researcher in Rochester Institute of Technology’s School of Mathematical Sciences is developing new mathematical techniques that could lead to improvements in applications ranging from medical ...

Optical diffraction tomography (ODT) has long been recognized for its potential in non-invasive, label-free imaging of live biological cells. However, a major challenge arises when ODT is applied to ...

A UK-based research project, TomoGrav, will produce the first 3D movies of black holes, mapping plasma flows and gravity in real time using advanced AI and global telescope networks.

PEEM emerges as a key tool for imaging ultra-confined optical fields, offering high sensitivity and minimal disturbance, ...