+44 (0)24 7671 8970
More publications     •     Advertise with us     •     Contact us
 
Loading...
News Article

Multiphoton Microscopy May be Key to Better Virtual Biopsies

News

Colorado State University (USA) has announced that one of its researchers, Associate Professor Jesse Wilson, will receive support from the Melanoma Research Alliance for his promising work to improve the early detection of skin cancers by the use of multiphoton microscopy. The announcement comes ahead of Skin Cancer Awareness Month. The CSU researcher was among 15 honored by the association for their work in early detection or treatment of one of the most dangerous types of skin cancers.

The award will allow Wilson and his team to go a step further in their research to make early detection of melanoma faster and cheaper, without the need for a biopsy. It will also open the door to partnering with CSU's College of Veterinary Medicine and Biomedical Sciences to test new imaging applications on canine patients.

"The mantra for melanoma has always been, 'when in doubt, cut it out,'" said Wilson. But cutting away skin lesions is inconvenient and invasive, and often impractical for high-risk patients with a host of suspicious moles.

Wilson is developing a virtual biopsy tool that could give physicians a view into the cellular structure of the skin, allowing them to perform molecular analyses to guide patient care without having to cut away living tissue. His idea could represent a breakthrough in noninvasive in vivo imaging of melanin, the skin pigment that's made by cells called melanocytes, which can become cancerous.

"Right now there are a handful of virtual biopsy tools available in the United States, but the devices are imperfect because they produce grainy images that bear little resemblance to a traditional biopsy," said Wilson.

Building on preliminary data from his grant from the Colorado Clinical and Translational Sciences Institute, Wilson's research harnesses the power of multiphoton microscopy, an imaging technique that has produced "exquisite contrast" between normal tissue and melanoma in laboratory settings. But these microscopies rely on an exceedingly expensive short-pulse laser - a major barrier to commercialization. Wilson aims to bring multiphoton imaging closer to clinical practice by removing the need for these costly short-pulse lasers through machine learning and digital signal processing techniques.

When it comes to melanoma, dogs and humans have a lot in common. Because of the similarities between canine oral melanomas and human melanomas, Wilson is collaborating with Doug Thamm, director of Clinical Research at the Flint Animal Cancer Center, to validate and test the new technology.

Using a handheld wand about the size of a marker, Wilson's proposed technique will allow clinicians to scan a laser beam across a suspected canine melanoma to create a real-time image that shows melanin-specific contrast to inform a diagnosis. As part of the research trial, a surgical biopsy of the dog's lesion will also be taken, and the traditional biopsy results will be compared with the noninvasive virtual images during a blind review.

Researchers in the Walter Scott, Jr. College of Engineering are serving as mentors on the project, including Kevin Lear, associate director of the School of Biomedical Engineering and professor of electrical and computer engineering; Stu Tobet, director of the School of Biomedical Engineering and professor of biomedical sciences; and Matt Kipper, assistant professor of chemical and biological engineering.

Wilson earned his bachelor's, master's, and Ph.D. in electrical engineering from Colorado State University. Prior to joining the faculty at CSU, he was a postdoctoral researcher in the Warren Group Laboratory at Duke University, where his work in melanoma imaging and detection began.

EMCORE announces integration of PICs into its products
Scottish photonics consortium wins £4.7m in UKRI funding
Yuanjie Semiconductor to supply lasers to POET
Fraunhofer IPMS announces government funding for quantum photonic chip
POET Technologies partners with Yuanjie Semiconductor Technology
SiLC announces silicon photonics systems for machine vision
Scientists develop novel optical modulators for integrated photonics
Scientists report integrated photodiodes on TFLN
Coherent wins award for innovative photonics product
FBH to present quantum technology developments at EQTC 2023
Skorpios and FormericaOE demonstrate PICs in 800G optical transceivers
EFFECT Photonics verifies fully integrated InP PIC
NASA awards grant for silicon photonics project
OpenLight and Spark Photonics partner on PIC design services
DustPhotonics announces 800G chip for hyperscale data centres and AI
Lightwave Logic Receives Industry Innovation Award
Imec announces SiGe BiCMOS optical receiver
SiFotonics announces silicon photonics 800G LPO solutions
Rockley Photonics progresses noninvasive biomarker monitoring
MantiSpectra secures €4 million for miniaturised spectrometers
Sivers to demo next-gen laser arrays at ECOC 2023
ASMPT AMICRA and Teramount collaborate on silicon photonics packaging
Quantum Computing Inc. selects Arizona site for photonic chip foundry
German government to fund ams OSRAM optoelectronic semiconductor development
Luceda Photonics introduces new PIC design software
Vodafone explores silicon photonics for future mobile networks
Coherent introduces 1200 mW pump laser module
Photonics startups invited to apply to Luminate NY accelerator
New tool could improve lithography for smaller, faster chips
InP-based lasers surpass 2.2 mm
Indie Semiconductor buys Exalos AG
New technique controls direction and wavelength of emitted heat

×
Search the news archive

To close this popup you can press escape or click the close icon.
Logo
×
Logo
×
Register - Step 1

You may choose to subscribe to the PIC Magazine, the PIC Newsletter, or both. You may also request additional information if required, before submitting your application.


Please subscribe me to:

 

You chose the industry type of "Other"

Please enter the industry that you work in:
Please enter the industry that you work in: