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As you read this story, you will learn the following:
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A key part of understanding the drivers of physical and neurological disease lies in understanding the microscopic fiber networks found in human tissue.
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A new study reveals a promising new imaging technique called computational scattered light imaging that can analyze these fibers and piece together the resulting light scattering.
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This gives scientists an unprecedented opportunity to analyze samples in detail, and because the setup only requires a rotating LED light source and a microscope camera, the technology can be used immediately by laboratories around the world.
The human body is an impressive biological machine, but like any machine, one small misstep, bit flip, or malfunction can cause a very big problem. One of these potential problem areas is the network of fibers found in every tissue in the body, whether helping muscles generate mechanical force or forming communication pathways in the brain. These fibers make life possible, but when they are damaged, they can also be the source of certain diseases, conditions, and neurological disorders.
While scientists are well aware of the importance of these networks, studying them has proven difficult because they are so small. At least until now, imaging them with enough accuracy to understand their orientation within tissue has proven impossible. Now, a new study is published in the journal nature communications A team led by scientists at Stanford University has made the impossible possible through a new imaging technique they call computational scattered light imaging, or ComSLI.
Rather than relying on specialized stains or expensive equipment, ComSLI uses a rotating lamp to analyze microstructure from different angles. Because light scatters differently depending on the orientation of the structure, scientists can compile this scattering from multiple angles. Computer algorithms then take this data and form a color-coded map called a “microstructural information fiber orientation distribution,” which essentially details the layout of a specific fiber network in the tissue sample.
While this allows scientists to image these fiber structures with extremely high precision, the setup only requires a light source and a microscope camera. It also does not rely on specialized preparation, meaning existing samples, including those from decades or even a century ago, can be examined with micron resolution using this new technology.
“This is a tool that any lab can use. You don’t need specialized preparation or expensive equipment,” study co-author Michael Zeineh of Stanford University said in a press statement. “What excites me most is that this approach opens the door for anyone from small research labs to pathology labs to discover new insights from slides they already have.”
In the study, the scientists detailed how they used ComSLI to compare differences in the appearance of hippocampal fibers in healthy tissue and tissue from people with Alzheimer’s disease. Due to ComSLI’s high resolution, the researchers noticed “significant microstructural deterioration” and a similar reduction in the dense fiber crossings that form connections in the hippocampus. The team also showed that the technology could similarly render structures associated with muscles, bones and the vascular system.
“Another exciting initiative is to return to well-characterized brain archives or parts of the brains of famous people and recover this microconnectivity information, revealing ‘secrets’ long thought to be lost,” said the study’s lead author, Marios Georgiadis of Stanford University, in a press statement. “That’s the beauty of ComSLI.”
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