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Researchers at the Stanford School of Medicine, led by Dr Sanjiv Gambhir, professor of radiology and biochemistry have utilized Raman spectroscopy to develop a new imaging system that enables doctors to visualize the cancers that are 1,000 times more detailed than previously possible. This technique has not been used so far in biological microscopic viewing but vastly used in other scientific researches.

So, What is Raman Effect ?

Raman effect is a unique phenomenon in physics that is based on the principle of scattering light.

When light shines on any surface, Raman found, and a tiny portion of the light is reflected back at a different wavelength that is precisely determined by the nature of the material illuminated. Out of 10 million photons of light, only one will bounce back with this distinctive “Raman” signal. But gather enough of them and ordinary light can be used to analyze the chemical nature of things.

Raman Effect was invented by great Indian scientist Chandrashekhar Venkat Raman in 1920 for which he had won Noble prize in Physics in 1930 for discovering it.

Chandrasekhar Venkata Raman, popularly known as C.V. Raman, was born in Thiruchinapalli, in Tamil Nadu, India on November 7, 1888.

A team of Stanford University researchers, led by Dr Sanjiv Gambhir, professor of radiology and biochemistry at Stanford University Medical School has developed a new imaging tool that can take pictures of cells and molecules deep inside the body.

The new imaging technique that can illuminate tiny molecules deep inside the human body, which helps doctors view minuscule tumours, 1,000 times smaller than previously possible - a process that is potentially safer and more sensitive than current cancer screens.

“This is an entirely new way of imaging living subjects, not based on anything previously used,” said lead author Sanjiv Sam Gambhir.

Sanjiv and his team have used the ‘Raman Effect’ technique that has not been used so far in biological microscopic that enables doctors to visualize the cancers that are 1,000 times more detailed than previously possible.