Cymatics Could Help Surgeons Identify Cancer Cells for Tumor Removal
The study of cymatics has fascinated researchers for years. Now, one scientist has found a practical way to use the phenomenon to enhance targeted cancer treatments.
The study of cymatics, or the spontaneous, geometric patterns produced by sound when it encounters water or particulate matter on a surface, was coined by Swiss researcher Hans Jenny in 1967. Jenny documented the patterns that appeared when putting sand or fluid on a metal plate that was connected to a sonic frequency oscillator.
Today, acoustic-physics scientist John Stuart Reid has partnered with Dr. Sungchul Ji at Rutgers University, to apply cymatic imaging to identify cancer cells compared to healthy cells. The two hope to develop this technology to allow surgeons the ability to more precisely target cancerous cells when removing tumors.
“So, what we do with the Cymascope instrument is to literally imprint sound onto the surface and indeed the sub-surface of pure, medical-grade water and thereby make it visible with specific lighting techniques. It’s actually quite difficult for a surgeon to remove a tumor in its entirety,” Reid said.
While this type of technology would aid any procedure requiring the surgical removal of a tumor, it would be particularly groundbreaking for brain surgery and other highly sensitive areas in which healthy cells must be carefully navigated.
So, what do cancer cells look like compared to healthy cells?
“What we found was that the sounds of cancer cells are generally fairly skewed and, well, I would call them subjectively ugly,” Reid said. “Whereas the sounds from healthy cells, generally the sounds are harmonic and therefore the patterns that are created, these cymatic patterns, are very symmetrical by comparison. As the cell has a kind of respiration, it’s literally making sound all of the time, so all of our cells are singing all of the time. Actually, it’s really interesting to know that they’re singing in the audible spectrum.”
“So, in other words, if we could hear those sounds, well it would actually drive us nuts, wouldn’t it? So, it’s probably just as well that we can’t hear them, however, they are literally in the audible spectrum. It’s just a question of having specific tools that allow us to listen in to those sounds and then amplify those sounds so that we can then hear them.”
As Reid and his colleagues continue to develop the Cymascope for targeted cancer surgery, they are also looking into a number of other applications for the technology across multiple scientific disciplines.
“We are at the very beginning, you could say, of this new revolution in science in terms of making sound visible,” Reid said. “It’s extremely important because sound actually underpins virtually every science. If you think of biology even, all the biochemical reactions that are occurring in our body all of the time, they’re all based on sound if you think of it from the atomic viewpoint. So, being able to make sound visible is a really wonderful way of gaining new insights into almost every science.”
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Is The Universe One Big Interconnected Neural Network?
Is the universe an interconnected neural network? A new way of thinking is emerging about how different areas of physics and the universe could be connected to create a model that ties together traditional scientific thought with new ideas in quantum physics.
For years physicists have tried to unify classical and quantum physics. Classical physics goes back to the time of Sir Isaac Newton and is based on mechanical, physical equations; that everything operates like clockwork, predictably and knowably.
Quantum physics, on the other hand, looks at microscopic, subatomic scales and how they interact at the levels of particles, waves, and forcefields. But the fundamental laws of physics at this quantum level are the antithesis of their behavior at the classical level. Instead of certainty, you have uncertainty. So how do we connect these different views with a so-called “Theory of Everything”?
A recent paper by University of Minnesota Duluth Physics Professor Vitaly Vanchurin, argues that this seeming paradox can exist if the universe is connected in a neural network.
