Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...

The more precisely we want to examine the human retina, the more clearly one of the fundamental limits of physics becomes ...

Researchers have developed a compact camera that captures ultraviolet, near-infrared and visible images using a single chip. Inspired by the multiwavelength vision capability of the mantis shrimp, the ...

After losing family members to chronic conditions, including his father, Ilker Hacihaliloglu decided something needed to be ...

In this study, the authors use microCT to image an intact hatchling octopus and segment major organ systems, including the vascular, respiratory, digestive, and nervous systems. The resulting dataset ...

A private medical school in the Northeast United States is at the forefront of groundbreaking life sciences and biomedical ...

Close your eyes and picture a coffee cup. Suddenly, the dark fills with shape, color, and texture. It’s a picture as vivid as ...

Why can images of things we have seen seem so real when we later recall them from memory? A new study led by Cedars-Sinai ...

A Cedars-Sinai study published in Science reveals that the same neurons used to perceive objects once also reactivate when imagining them later.

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...