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This ultra-sensitive imaging system can spot cancer earlier

Scientists have developed a compact Raman imaging system that can reliably tell cancerous tissue apart from normal tissue. The approach could support earlier cancer detection and help move advanced molecular imaging tools beyond research laboratories and into more practical clinical settings.

The imaging system is designed to detect extremely weak signals from surface-enhanced Raman scattering (SERS) nanoparticles that are engineered to attach to tumor markers. Once these nanoparticles are applied to a sample or to the area being examined, the system reads their Raman signal and automatically highlights regions that are more likely to contain tumor tissue.

“Traditional methods for cancer-related diagnosis are time-consuming and labor-intensive because they require staining tissue samples and having a pathologist look for any abnormalities,” said research team leader Zhen Qiu from the Institute for Quantitative Health Science and Engineering (IQ), Michigan State University. “While our system would not immediately replace pathology, it could serve as a rapid screening tool to accelerate diagnosis.”

Published results show major gains in sensitivity

In Optica, Optica Publishing Group’s journal for high-impact research, Qiu and colleagues report that their system can distinguish cancerous cells from healthy ones while detecting Raman signals that are about four times weaker than those measured by a comparable commercial system. This improved sensitivity comes from combining a swept-source laser — which changes wavelength during analysis — with an ultra-sensitive detector called a superconducting nanowire single-photon detector (SNSPD).

“This technology could eventually enable portable or intraoperative devices that enable clinicians to detect cancers at earlier stages, improve the accuracy of biopsy sampling and monitor disease progression through less invasive testing,” said Qiu. “Ultimately, such advances could enhance patient outcomes and reduce diagnostic delays, accelerating the path from detection to treatment.”

Pushing detection limits with superconducting detectors

Qiu’s lab studies how SNSPDs can be used to enhance a range of imaging technologies. SNSPDs rely on a superconducting wire that can detect individual particles of light, allowing the system to capture extremely weak optical signals at high speed while keeping background noise very low.

For this project, the researchers aimed to build a platform that could measure Raman signals far fainter than those detected by existing Raman systems. Raman imaging works by mapping a sample’s chemical composition through the unique light-scattering fingerprints of its molecules. These signals can be strengthened by using SERS nanoparticles.

“Combining this advanced detector with a swept-source Raman architecture that replaces a bulky camera and collects light more efficiently resulted in a system with a detection limit well beyond that of comparable commercial systems,” said Qiu. “Also, the fiber coupling configuration and compact design facilitate system miniaturization and future clinical translation.”

Strong tumor contrast across multiple sample types

To test the system, the team used SERS nanoparticles coated with hyaluronan acid, which enables the particles to bind to CD44, a surface protein found on many tumor cells. Initial experiments with simple nanoparticle solutions showed that the system could reach femtomolar sensitivity. The researchers then applied the imaging platform to cultured breast cancer cells, mouse tumors, and healthy tissue samples.

“The SERS signals were strongly concentrated in tumor samples, with only minimal background detected in healthy tissue,” said Qiu. “This demonstrates both the system’s exceptional sensitivity and its ability to provide reliable tumor-versus-healthy contrast. Moreover, by adjusting or substituting the targeting molecule, this method could be adapted for other cancer types.”

Next steps toward clinical use

According to the researchers, additional work is needed before the system can be used in clinical settings. Future improvements will focus on increasing readout speed and expanding validation studies. The team is exploring faster laser sources, including VCSELs, and testing whether narrowing the sweep range can further improve performance. They also plan multiplexing experiments that use different nanoparticles to target multiple biomarkers at the same time.

The researchers acknowledge industry collaborator Quantum Opus, which provided the SNSPD devices used in this work.

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TikTok removes AI weight loss ads from fake Boots account

The adverts for prescription-only drugs showed healthcare professionals impersonating the British retailer.

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Toddler finally home from hospital for Christmas

Bertie Melly was in hospital for 18 months after his premature birth in May 2024.

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US regulator approves pill form of Wegovy weight-loss drug

Wegovy becomes first pill of its kind to be approved, shifting weight-loss drugs beyond injections.

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Meaning Behind The Song Driving Home For Christmas Is So Heartwarming

Chris Rea died today, leaving behind a legacy of 25 solo albums and several number one hits but most especially, his 1988 Christmas classic Driving Home for Christmas.

The song is regularly on Christmas playlists and is often the soundtrack of people travelling to be closer to their loved ones during the festive season. However, the story behind the song is a little more nuanced than just a festive ditty.

Speaking to The Guardian in 2016, the singer said: “It was 1978, coming up to Christmas. It was all over for me: I was just about out of my record contract, and my manager had just told me he was leaving me.

“I just needed to get home to Middlesbrough from London, but the record company wouldn’t pay for a rail ticket, and I was banned from driving.”

He did have to take a long drive…

He went on to say: “My wife got in our old Austin Mini, drove all the way down from Middlesbrough to Abbey Road studios to pick me up, and we set off back straight away. Then it started snowing. We had £220 and I was fiddling with it all the way home.”

A far cry from the wholesome road trip depicted in his song, their drive home was actually quite frustrating. Chris and his wife kept getting stuck in traffic, gazing over at other miserable drivers and struggling to get home.

“Jokingly, I started singing: ‘we’re driving home for Christmas…’ then, when street lights shone inside the car, I started writing down lyrics.”

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Their arrival home was life-changing

“We eventually got home at 3am. It was so cold inside the house that the snow tumbled on to the doormat and didn’t melt.

“There was one letter – from PRS America. My song Fool (If You Think It’s Over) had been a hit in the US, so there was a cheque for £15,000. We went from being down to our last £220 to being able to buy a house.”

A Christmas miracle, if you will.

The song was shelved for almost a decade

After encouragement from his bandmate Max, Chris revisited his old festive song: “I’d never intended to write a Christmas hit – I was a serious musician! So initially, the song came out on a B-side.

“Then a DJ flipped it over and started playing it, so Max suggested we re-record it and add some strings. Max played the distinctive jazzy intro, we did a classic 1950s Christmas carol-type arrangement, and loved it. At first, it was another radio hit – but then it started re-entering the Top 40 every year.”

Once he got past his ego, Chris indulged in the song with the rest of us.

“I used to be terrified the song would ruin any credibility I had left, but now we have a laugh with it.

“If I’m ever stuck on the M25 – the Road to Hell – I’ll wind the window down and start singing, “I’m driving home for Christmas” at people in cars alongside. They love it. It’s like giving them a present.”

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