Scientists have developed a 3D, AI-based tool for viewing hearing cells. To understand hearing damage from noise and aging, and develop new treatments, scientists need detailed images of hair cells. The new VASCilia tool uses deep learning to accelerate sensory cell image processing and analysis.

No ears, no problem! The tobacco hornworm caterpillar, a common garden pest, can actually detect airborne sound via microscopic hairs on its body, according to a team of faculty and graduate students at Binghamton University, State University of New York. The research could have implications for improving microphone technology.

Multicellularity is one of the most profound phenomena in biology, and relies on the ability of a single cell to reorganize itself into a complex organism. It underpins the diversity in the animal kingdom, from insects to frogs, to humans. But how do cells establish and maintain their individuality with such precision? A team led by Jan Brugués at the Cluster of Excellence Physics of Life (PoL) at Dresden University of Technology has uncovered fundamental mechanisms that shed light on this question. The findings, now published in the scientific journal Nature, reveal how cells establish physical boundaries through an inherently unstable process, and how different species have evolved distinct strategies to circumvent this process.

While paleontologists have uncovered dozens of such Cambrian soft-bodied fossil sites—including China's early Cambrian Chengjiang biota in Yunnan and Canada's middle Cambrian Burgess Shale biota, the most famous examples of their kind—no equivalent top-tier soft-bodied fossil deposit had ever been found from the critical post-Sinsk Event time interval.

That changed over the past five years, however, with the discovery of the Huayuan biota—a world-class soft-bodied fossil deposit dating to shortly after the Sinsk Event. The deposit, located in Huayuan County, Hunan Province, was identified by a research team from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences (CAS), whose findings were published in Nature on January 28.