Machine enhanced humans – or cyborgs as they are known in science fiction – could be one step closer to becoming a reality, thanks to new research from the University of Surrey and Harvard University.
Researchers have conquered the monumental task of manufacturing scalable nanoprobe arrays small enough to record the inner workings of human cardiac cells and primary neurons.
The ability to read electrical activities from cells is the foundation of many biomedical procedures, such as brain activity mapping and neural prosthetics. Developing new tools for intracellular electrophysiology (the electric current running within cells) that push the limits of what is physically possible (spatiotemporal resolution) while reducing invasiveness could provide a deeper understanding of electrogenic cells and their networks in tissues, as well as new directions for human-machine interfaces.
In a paper published by Nature Nanotechnology, scientists from Surrey’s Advanced Technology Institute(ATI) and Harvard University detail how they produced an array of the ultra-small U-shaped nanowire field-effect transistor probes for intracellular recording. This incredibly small structure was used to record, with great clarity, the inner activity of primary neurons and other electrogenic cells, and the device has the capacity for multi-channel recordings.
Dr Yunlong Zhao from the ATI at the University of Surrey said: “If our medical professionals are to continue to understand our physical condition better and help us live longer, it is important that we continue to push the boundaries of modern science in order to give them the best possible tools to do their jobs. For this to be possible, an intersection between humans and machines is inevitable.
“Our ultra-small, flexible, nanowire probes could be a very powerful tool as they can measure intracellular signals with amplitudes comparable with those measured with patch clamp techniques; with the advantage of the device being scalable, it causes less discomfort and no fatal damage to the cell (cytosol dilation). Through this work, we found clear evidence for how both size and curvature affect device internalisation and intracellular recording signal.”
Professor Charles Lieber from the Department of Chemistry and Chemical Biology at Harvard University said: “This work represents a major step towards tackling the general problem of integrating ‘synthesised’ nanoscale building blocks into chip and wafer scale arrays, and thereby allowing us to address the long-standing challenge of scalable intracellular recording.
“The beauty of science to many, ourselves included, is having such challenges to drive hypotheses and future work. In the longer term, we see these probe developments adding to our capabilities that ultimately drive advanced high-resolution brain-machine interfaces and perhaps eventually bringing cyborgs to reality.”
Professor Ravi Silva, Director of the ATI at the University of Surrey, said: “This incredibly exciting and ambitious piece of work illustrates the value of academic collaboration. Along with the possibility of upgrading the tools we use to monitor cells, this work has laid the foundations for machine and human interfaces that could improve lives across the world.”
The Latest on: Machine enhanced humans
via Google News
The Latest on: Machine enhanced humans
- Lytx Introduces Risk Detection Tool To Identify Distracting Drivingon February 27, 2020 at 6:46 am
At its annual User Group Conference, video telematics company Lytx unveiled its enhanced risk detection tool that will help eradicate distracted driving by identifying and engaging with drivers prone ...
- Malwarebytes launches enhanced cloud platform, MSP premier partner programon February 27, 2020 at 3:06 am
Malwarebytes, an advanced endpoint detection and remediation solution provider, announced a new set of enhanced enterprise features of its cloud platform ... smart mobility, and improved quality of ...
- HDT's 2020 Top 20 Productson February 26, 2020 at 4:22 pm
Aperia’s Halo Connect platform combines automatic tire inflation with machine learning to categorize tire maintenance issues by severity ... The lights produce optimal light quality for human vision, ...
- Imint launches next-generation video enhancement solutionson February 25, 2020 at 5:04 pm
With its next generation of enhancement technology – which leverages AI and machine learning – consumers ... Imint is developing tools that will unleash the next wave of creativity and human ...
- Lytx Video Telematics with Enhanced Risk Detection Helps Eradicate Distracted Drivingon February 24, 2020 at 2:36 pm
Lytx kicked-off its annual User Group Conference today by unveiling a next-generation technology designed to address distracted driving: enhanced machine vision and artificial ... with the discernment ...
- Lytx Supercharges its Video Telematics with Enhanced Risk Detection to Help Eradicate Distracted Drivingon February 24, 2020 at 9:00 am
/PRNewswire/ -- Lytx® kicked-off its annual User Group Conference today by unveiling a next-generation technology designed to address distracted ...
- Bionic Tactile Enhancement – Highly Sensitive Sensors Inspired by Spiders Improve Sense of Touchon February 18, 2020 at 8:06 am
Co-author Caofeng Pan said, “These results demonstrate the wide applications of our ultrathin strain sensor in e-skin and human-machine interfaces.” Reference: “Visually aided tactile enhancement ...
- Highly sensitive sensors show promise in enhancing human touchon February 18, 2020 at 8:04 am
The investigators also designed a visually aided tactile enhancement system, VATES, by connecting one or more UCSSs to a ... Co-author Caofeng Pan said, "These results demonstrate the wide ...
- Enhanced Prediction and Visibility Through AIon February 12, 2020 at 12:07 pm
In order to achieve enhanced predictability and visibility by embracing ... Finally, AI applications where humans and machines interact will become more common in supply-chain facilities.
- The future of AI is in job enhancement, not replacementon February 11, 2020 at 2:03 am
Businesses should rely on AI and machine learning to improve their performance ... It can only be overcome, enhanced and smoothed out with the touch of human employees, who bring knowledge and ...
via Bing News