The key to developing the method was being able to quickly capture and differentiate the infrared wavelengths needed to compose images. It's similar to how smartphone cameras record different colors – and thus different wavelengths – in the visible light spectrum to create photographs, said Dmitry Fishman, director of the Laser Spectroscopy Labs at UCI.
Chemical bonds, Fishman explained, only vibrate and absorb light in the infrared part of the spectrum. Until now, it hasn't been easy to produce an image with good definition. The new technology "sees 'colors' in infrared," he said. "And colors reveal spectroscopic lines, which, in turn, provide a chemical 'fingerprint.'"
That makes it much easier to accurately assess "the composition of materials that you're looking at, including human tissues," said Eric Potma, a UCI chemistry professor and a co-author of the paper.
In the medical field, the most likely applications will be in analyzing tissues afflicted by disease, Potma said, explaining that the method can dramatically speed up and improve such tests.
The technology can also detect changes in chemical composition over time –which would be helpful when tracking chemical reactions and processes.
The work is the next stage in research that the same team reported recently in the journals Nature's Light: Science and Applications and Optica. Their first prototype, though, wasn't able to capture the full mid-IR spectrum. Rather, it could only deliver individual image frames of a particular color.
The new development enabled the team to rapidly capture images in which each pixel of the video frame also contains full spectral information.
"It's the difference between a black-and-white television and a color TV," said Potma, who noted that's one reason the previous technology wasn't ready for deployment in industries like medicine.
Now, Knez and his team hope to devise practical uses for their discovery. "We have plans to employ this technology for solving real problems, from visualization of fundamental chemical processes to cancer research, histopathology, tissue dynamics and a vast number of industry applications – everywhere the ability to see chemistry in real time is critical."