At present, researchers use labels and stains so that they can see specific structures in tissue samples, such as extracellular vesicles. This creates extra work and expense, and frequently means that the tissue sample is not usable for other types of analysis afterwards. These researchers have developed a new imaging technique, described in Proceedings of the National Academy of Sciences, that does not require staining or labels.
Their imaging method involves directing ultrashort laser pulses at the imaged tissue sample, which allows the researchers to detect the “optical signature” of structures. “We can acquire information about the structure and metabolism of the living tissue,” said Stephen Boppart, a researcher involved in the study. “The imaging system allows us to capture all this information simultaneously, allowing us to see many more details about the tissue, cells, and their functions than the current ways of imaging.”
Different
structures within the tissue provide different signals, helping the researchers
to distinguish between them. “There are two mechanisms involved in the imaging,”
explained Sixian You, another researcher involved in the study. “Some of the
tissue components emit different kinds of fluorescence which comes in different
colors. The other mechanism involves molecular structures that when aligned in
a certain way, will give you an entirely different set of colors.”
The
technique results in some striking images, but it also has the potential to
help with diagnostics. So far, the researchers have used it to analyze
extracellular vesicles, a marker of tumor progression. “Cells use these
extracellular vesicles to communicate with each other, even under normal
conditions,” said Boppart. “Tumor cells will alter these extracellular
vesicles, and release more throughout the body. For this reason, they have the
potential to be used as markers for cancer progression.”
Another application involves using the technique to discern between cancerous and healthy tissue in tissue samples from the tumor border, obtained during surgery, to help surgeons determine if they have removed all of a tumor. “We are trying to use the label-free technique to look at the tissue right away in the surgical room,” said You. “After we get the images, we use deep learning, which can be used to differentiate between cancerous and normal breast tissue.”
Here’s a 3D visualization of extracellular vesicles in a tissue sample from 40 μm to 120 μm below the surface:
characterization of extracellular vesicles in breast cancer
Via: Beckman
Institute
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