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Results for "Stain-free imaging"

New single-molecule imaging technique developed at KAUST

KAUST ·

KAUST researchers developed a new single-molecule imaging method called the cumulative-area (CA) method. This method allows for simultaneous characterization of size, shape, and conformational dynamics of individual molecules, along with accurate determination of diffusion kinetics. The researchers demonstrated the CA method's effectiveness on nano- and micro-sized objects, extracting quantitative information about size, diffusion, and relaxation time. Why it matters: This advancement expands the capabilities of molecule imaging techniques in the region and has potential applications in polymer dynamics research and the study of molecular mechanisms within cells.

Driving optical imaging expertise and research

KAUST ·

KAUST and Leica Microsystems have renewed their partnership for the KAUST-Leica Center of Excellence for Optical Microscopy. The partnership has supported studies such as 3D-printed microneedles and climate adaptation in date palms, utilizing Leica's LIGHTNING technology. The Center of Excellence also hosts joint technological forums and outreach activities to develop local and regional expertise. Why it matters: The renewal strengthens KAUST's research and education in optical microscopy, fostering collaboration within Saudi Arabia and the broader region to build advanced expertise in this field.

High-resolution imaging of electron beam-sensitive materials

KAUST ·

KAUST researchers developed a new methodology for high-resolution transmission electron microscopy (TEM) imaging of beam-sensitive materials. The method addresses challenges in acquiring images with low electron doses, aligning images, and determining defocus values. The processes incorporate two provisional patents and are applicable to aligning nanosized crystals and noisy images with periodic features. Why it matters: This advancement enables the study of delicate materials like MOFs at atomic resolution, with broad applications in materials science and nanotechnology.

Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization

MBZUAI ·

KAUST Professor Wolfgang Heidrich is researching computational imaging systems that jointly design optics and image reconstruction algorithms. He focuses on hardware-software co-design for imaging systems with applications in HDR, compact cameras, and hyperspectral imaging. Heidrich's work on HDR displays was the basis for Brightside Technologies, acquired by Dolby in 2007. Why it matters: This research aims to advance imaging technology through AI-driven design, potentially impacting various fields from consumer electronics to scientific research within the region and globally.