News Release 

New discovery advances optical microscopy

Enables researchers to directly visualize unlabeled objects that have deep sub-wavelength separations

University of Illinois Grainger College of Engineering

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IMAGE: Experimental visualization of individual nanowires and their and fabrication imperfections. The new and conventional optical microscope methods are labeled (EC) and (No EC), respectively. Creative Commons Attribution 4.0 International view more 

Credit: Lynford Goddard, Grainger Engineering

URBANA, Ill. - New Illinois ECE research is advancing the field of optical microscopy, giving the field a critical new tool to solve challenging problems across many fields of science and engineering including semiconductor wafer inspection, nanoparticle sensing, material characterization, biosensing, virus counting, and microfluidic monitoring.

The question is often asked, "Why can we not see or sense nanoscale objects under a light microscope?" The textbook answers are that their relative signals are weak, and their separation is smaller than Abbe's resolution limit.

However, the Illinois ECE research team, led by Illinois ECE Professor Lynford L Goddard, along with postdoc Jinlong Zhu, and PhD student Aditi Udupa, is challenging these cornerstone principles with a brand-new optical framework.

Their work, published in Nature Communications opens new doors to using optical microscopy to unravel difficult problems that impact our daily lives.

"Our work is significant not only because it advances scientific understanding of optical imaging but also because it enables researchers to directly visualize unlabeled objects that have deep sub-wavelength separations. We can see nanoscale structure without performing any image post-processing" said Goddard.

The team's breakthroughs began in May 2018 when Zhu and Goddard stumbled upon a remarkable result in one of their simulations. "At the time, we were conducting a theoretical study on wafer defect inspection and needed to build a simulation tool to model how light propagates through a microscope system. When we saw the simulation result for one of the configurations, we were quite confused by it," Goddard recalls. "We worked day and night for the next three months trying to understand the physics behind it. Once we developed a closed form analytic expression that explained what was going on, we could devise an experiment to test our hypotheses."

However, it would take another five months of trial and error to learn how to build and align the optical system such that the experimental configuration replicated the model assumptions. Meanwhile, Ms. Udupa fabricated suitable test samples at both the Holonyak Micro and Nanotechnology Laboratory and the Materials Research Laboratory with the assistance of Dr. Edmond Chow and Dr. Tao Shang. In January 2019, the team finally realized the necessary experimental conditions and directly visualized their first set of deep sub-wavelength objects.

"Using a standard optical microscope to visualize nanometric objects is extremely challenging not only because of the diffraction barrier, but also the weak signal," said Zhu. "Our experiment had to utilize two new and interesting physical concepts, anti-symmetric excitation and non-resonance amplification, to boost the signal-to-noise ratio of the nanoscale objects."

The team demonstrated the technique can sense both free-form and fixed-form nanoscale objects across a wide field of view (726-μm × 582-μm) using a low numerical aperture objective (0.4 NA). Zhu explains, "We were quite lucky that some of the nanowires on our test sample shown above had fabrication imperfections. This allowed us to demonstrate the visualization of sub-20 nm defects in a semiconductor chip. In the future, one may also apply our method for the visualizable sensing of biological objects (e.g., viruses or molecule clusters) by choosing nanowires with optimized geometry and proper refractive index and patterning functional groups around nanowires. Once target analytes are trapped, they act as objects that may be directly visualized from the optical images."

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This work was funded by Cisco Systems Inc. (Gift Awards CG 1141107 and CG 1377144), University of Illinois at Urbana-Champaign College of Engineering Strategic Research Initiative, and Zhejiang University - University of Illinois at Urbana-Champaign (ZJUI) Institute Research Program. Professor Goddard acknowledges the Center for Advanced Study at the University of Illinois for teaching release time to pursue this research. He is also affiliated with the Beckman Institute and HMNTL.

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