Bio-inspired technology could one day lead to a bionic eye

Bio-inspired technology could one day lead to a bionic eye
Examples of fluorescence images of retinal cells interacting with the fractal electrodes at 17 DIV (green = GFAP labeled glia; red = β-tubulin III labeled neurons). (a) The rare occurrence of glia following the 90° turn of a 2–6 electrode branch. (b) Glial coverage in the gap of a 2–6 electrode. (c) Glial coverage in the gap of a 1.1–4 electrode close to its branches. (d) Individual glia in a desert region away from the branches of a 1.1–4 electrode. (e) Neurons and their processes on a 2–6 electrode’s branches. (f) Neuron clusters and processes in a boundary region interacting with the neurons on the nearby branches of a 2–6 electrode. Neuronal processes were semi-automatically traced using the Fiji simple neurite tracer and were false-colored. (g) Neuron clusters and processes forming a cluster neural network in the gaps of a 1.1–4 electrode. (h) individual neurons in a desert region of a 1.1–4 electrode far from the branches. (i) and (j) Schematic of the glial and neural network regions. (i-1) and (j-1) show the electrode with few glial cells and multiple processes connecting individual neurons and small to medium-sized clusters. (i-2) and (j-2) show the ‘boundary’ region featuring small to medium glial coverage regions and clusters connecting to each other and to neurons on the electrodes using multiple processes. (i-3) and (j-3) show the ‘small-world’ region featuring larger glial coverage and clusters with bundles of processes connecting them. (i-4) and (j-4) show the ‘desert’ region furthest from electrodes featuring very few glial cells, mostly individual neurons and very few processes. (k) Merged fluorescence image of glia and neurons on a 2–4 electrode showing all the different regions. Scale bars on (a), (b), (c), (f), and (g) are 100 μm, on (d) and (h) are 200 μm, and on (e) and (k) are 50 μm. The electrode edges are highlighted in cyan in (a), (b), (c), (e), (f), (g) and (k). Schematic panels were created in BioRender. Credit:PLOS ONE (2022). DOI: 10.1371/journal.pone.0265685

A new design for eye and brain implants draws its inspiration from nature.

UO researchers have grown rodent retinal neurons on a fractal-patterned , one that mimics the repeating branching pattern in which neurons naturally grow. It's a step closer to making a bio-inspired bionic eye, a longstanding goal for UO physicist Richard Taylor.

Taylor hopes the tiny electrodes could someday be implanted into the eye to restore sight in people with macular degeneration or other vision disorders.

The new work provides experimental evidence supporting a hunch his team has been pursuing for years, that neurons, which themselves are fractals, will connect better to a fractal-patterned electrode than they do to more traditionally shaped electrodes, allowing better signal transmission between the implant and the brain.

Taylor and his colleagues report their findings in a paper published April 6 in the journal PLOS One.

"The reason I'm so excited is that this paper is three years of data that explores what happens when these retinal cells interact with a fractal electrode," he said.

Neural implants have a futuristic sheen, but they're already being used to help people with conditions ranging from Parkinson's disease to spinal cord injury. A chip that stimulates a particular spot within the brain can help reduce tremors or even restore the ability to move, speak or see.

To successfully send signals to the brain or the eye, an implanted electrode needs to be able to connect to a network of existing neurons. Neurons naturally grow in a tree-like fractal pattern, leading to ever-finer branches.

Most electronics aren't shaped like that; they're designed for use inside machines, not living things. Instead, Taylor thought, why not coax the neurons to connect to an electrode in a pattern that fits their tendency?

"You want neurons to get attached to be stimulated; that's the ultimate goal in designing any sort of electrode," said Saba Moslehi, a postdoctoral researcher in Taylor's lab. "And when two objects have very similar characteristics, they'll have more of a tendency to interact compared to objects that have completely different characteristics."

Taylor, a physicist who specializes in fractals, submitted the idea to a research competition in 2014. To his surprise, it beat out almost a thousand competing ideas. And since then, with help from UO professors Benjamin Aleman and Cris Niell and collaborators at Lund University in Sweden, his group has been exploring its potential.

In past studies, they performed computer simulations which suggested the fractal-patterned electrodes would be more effective than traditional electrode shapes. Then, to test the idea experimentally, the UO team used electrodes made from smooth silicon chips with branches made of carbon nanotubes patterned on the chip surface.

Neurons prefer to attach to the textured nanotubes, so researchers can control where neurons will attach to the electrode by modifying the nanotube map on its surface.

Moslehi, along doctoral students Conor Rowland and Julian Smith, used facilities at the UO's Center for Advanced Materials Characterization in Oregon to create silicon-based with carbon nanotubes arranged in a fractal pattern shaped like a repeating letter H.

For comparison, they also made chips with the nanotubes arranged in parallel lines, a design one might see on a commercially available electrode chip.

Then, they tracked how mouse retinal neurons grew on the chips, using cells cultured in a petri dish.

Neurons attached more prevalently to the textured fractal branches than to the smooth gaps between the branches, the experiment showed. And glia, important support cells for neurons, packed tightly into the smooth gaps. The fractal design was the most effective at this 'herding' of neurons and glia.

"The really clever thing is that we've managed to put the glial cells in the gaps," Taylor said. "Glia are the life support system of the neurons, and we need to induce favorable interactions with both the neurons and the glial cells."

The work is still early-stage, Taylor emphasized. Running trials in animals will take additional engineering and safety tests. But eventually, the researchers hope their design will turn into a real-world device that can help people with vision loss.

And the fractal patterned, bio-inspired electrodes might have uses in brain implant research beyond the bionic eye.

"I think this could help not just the system we tested, but implants in other parts of the nervous system as well," Moslehi said. "I hope to see more researchers moving towards using electrodes rather than commercial patterns."


Explore further

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More information: Saba Moslehi et al, Controlled assembly of retinal cells on fractal and Euclidean electrodes, PLOS ONE (2022). DOI: 10.1371/journal.pone.0265685
Journal information: PLoS ONE

Citation: Bio-inspired technology could one day lead to a bionic eye (2022, April 8) retrieved 27 June 2022 from https://phys.org/news/2022-04-bio-inspired-technology-day-bionic-eye.html
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