These bionic fingers can point out what's under our skin

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Chinese researchers have developed a bionic finger that, modelled after our own very sensitive fingers, can 'feel' out a 3D map of what lies beneath our skin. As opposed to previous artificial sensors that could only tell the difference between external shapes and surface textures, the team say their finger gets its info by moving across an object and applying a constant stream of pokes. Each poke sends back information on the relative stiffness or softness of the object, allowing the researchers to convert that data into a 3D map of what's underneath a squishy top layer. They say their device has potential to be used to detect faults in electronics, without breaking through it's protective layer.

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From: Cell Press

Bionic fingers create 3D maps of human tissue, electronics, and other complex objects

What if, instead of using X-rays or ultrasound, we could use touch to image the insides of human bodies and electronic devices? In a study publishing in the journal Cell Reports Physical Science on February 15, researchers present a bionic finger that can create 3D maps of the internal shapes and textures of complex objects by touching their exterior surface.

“We were inspired by human fingers, which have the most sensitive tactile perception that we know of,” says senior author Jianyi Luo, a professor at Wuyi University. “For example, when we touch our own bodies with our fingers, we can sense not only the texture of our skin, but also the outline of the bone beneath it.”

“Our bionic finger goes beyond previous artificial sensors that were only capable of recognizing and discriminating between external shapes, surface textures, and hardness,” says co-author Zhiming Chen, a lecturer at Wuyi University.

The bionic finger “scans” an object by moving across it and applying pressure—think of a constant stream of pokes or prods. With each poke, the carbon fibers compress, and the degree to which they compress provides information about the relative stiffness or softness of the object. Depending on the object’s material, it might also compress when poked by the bionic finger: rigid objects hold their shape, while soft objects will deform when enough pressure is applied. This information, along with the location at which it was recorded, is relayed to a personal computer and displayed onscreen as a 3D map.

The researchers tested the bionic finger’s ability to map out the internal and external features of complex objects made of multiple types of material, such as a rigid “letter A” buried under a layer of soft silicon, as well as more abstractly shaped objects. When they used it to scan a small compound object made of three different materials—a rigid internal material, a soft internal material, and a soft outer coating—the bionic finger was able to discriminate between not only the soft outer coating and the internal hard ridges, but it could also tell the difference between the soft outer coating and the soft material that filled the internal grooves.

Next, the researchers tested the finger’s ability to sense and image simulated human tissue. They created this tissue— consisting of a skeletal component, made of three layers of hard polymer, and a soft silicone “muscle” layer—using 3D printing. The bionic finger was able to reproduce a 3D profile of the tissue’s structure and locate a simulated blood vessel beneath the muscle layer.

The team also explored the bionic finger’s ability to diagnose issues in electronic devices without opening them up. By scanning the surface of a defective electronic device with the bionic finger, the researchers were able to create a map of its internal electrical components and pinpoint the location at which the circuit was disconnected, as well as a mis-drilled hole, without breaking through the encapsulating layer.

“This tactile technology opens up a non-optical way for the nondestructive testing of the human body and flexible electronics,” says Luo. “Next, we want to develop the bionic finger’s capacity for omnidirectional detection with different surface materials.”

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Journal/
conference:
Cell Reports Physical Science
Research:Paper
Organisation/s: Wuyi University, China
Funder: This work was financially supported by the Natural Science Foundation of Guangdong Province (2021A1515011935); Innovation and Strong School Engineering Fund of Guangdong Province (2017KTSCX186, 2020KQNCX91, 2020ZDZX2022, and 2021ZDJS094); Science Foundation for Young Teachers of Wuyi University (no. 2018td04); Guangdong Basis and Applied Fundamental Research Fund (2019A1515111190 and 2021A1515110814); National Natural Science Foundation of China (12004285); Hong Kong and Macau Joint Research and Development Fund of Wuyi University (2019WGALH17); and Guangdong Science and Technology Innovation Strategy Special Fund (pdjh2021a0502 and pdjh2022b0527).
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