Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silicon-based detectors. However, single-beam nonlinear imaging is often hampered by self-convolution effects in the spatial frequency domain (Fourier plane), leading to the loss of fundamental structural information. To circumvent this image degradation, upconversion edge imaging has traditionally required complex dual-beam configurations. Here, we demonstrate a single-beam nonlinear upconversion edge imaging scheme utilizing multilayer GaSe. By sequentially combining linear spatial filtering at the Fourier plane with frequency upconversion in real space, we successfully transform the NIR illumination into visible edge images. This approach achieves high-fidelity and high-resolution edge detection without the need for reference beams or stringent spatiotemporal alignment. Given that two-dimensional crystals bypass traditional phase-matching constraints, this compact and stable architecture provides a promising pathway for broadband, real-time infrared image processing and miniaturized optical computing.
Label-free spatial-frequency-shift (SFS) super-resolution imaging enables nanoscale visualization but fundamentally suffers from a severe trade-off between ultra-high resolution and high signal-to-noise ratio (SNR) when utilizing high-wavevector illumination. To overcome this limitation, recent advancements have introd...
Multispectral mid‐infrared imaging is a critical capability across science, offering a window into the vibrational landscape of matter that is inaccessible to visible sensors. It bridges microscopic molecular interactions with macroscopic sensing technologies, with applications in environmental sensing, defense and m...
D. Beitner, Ziv Abelson, E. Hollander et al.· Laser & Photonics Review...· 0 citations
The mid-wave infrared (MWIR, 3-5 microns) is indispensable for thermal sensing, gas detection, long-range imaging, and free-space optical communications. Meta-optics offer a compact, lightweight, and potentially low-cost alternative to conventional refractive optics, making them attractive for size, weight, and power (...
Rose Johnson, Debabrata Mandal, Zi-Hao Zou et al.· 0 citations
An electrically modulated dual-focus metalens-based photoacoustic microscopy (meta-PAM) system designed to enhance axial coverage while preserving high lateral resolution in three-dimensional imaging is presented, demonstrating its effectiveness by imaging a chemically induced corneal burn in rat eyes.
Hongyoon Kim, Eunwoo Park, Jeongwoo Park et al.· Light: Science & Application...· 0 citations
Terahertz (THz) imaging based on time-domain spectroscopy is a powerful tool with broad applicability, enabling the inspection of optically opaque multicomponent objects and the identification of several inorganic and organic compounds via their spectral signatures. Yet, it is typically hampered by the long acquisition...
L. Razzari· Terahertz Emitters, Receiver...· 0 citations
Accessing the rich information carried by infrared light typically relies on bulky, complex optoelectronic systems. Lanthanide-based upconverting nanoparticles (UCNPs) offer a compelling alternative by converting infrared light into visible photons through nonlinear anti-Stokes processes. However, achieving strong upco...
Nima Sefidmooye Azar, Matthew Parry, Xiao Qi et al.· Light: Science & Application...· 0 citations
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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