Stanford researchers at the Airan Lab have developed a new method for robust and spatiotemporally precise non-invasive neuromodulation that could transform both basic and clinical neuroscience.
Researchers at the Solgaard Lab have demonstrated that light sheet fluorescence microscopy (LSFM) with structured and pivoting illumination enables fast image acquisition and improved image quality.
Stanford researchers have developed methods of extracting photon depth of interaction (DOI) information to develop less complex, cost effective DOI detector technologies for high resolution positron emission tomography (PET).
Stage of research
Researchers designed electro-optical gratings for fluorescence microscopy - a drop in to existing systems with no new lenses. Researchers demonstrate a 9x improvement on FOV using Olympus 10x/0.6NA WI immersion objective at 3.3 Hz.
Researchers in Prof. Lambertus Hesselink's laboratory have developed a compact, sensitive X-ray differential phase contrast (DPC) imaging system that improves field of view, increases fringe visibility and shortens imaging times.
Stanford researchers have developed a novel tomographic technique, cathodoluminescence (CL) spectroscopic tomography, to probe optical properties in 3D with nanometer-scale spatial and spectral resolution.
Stanford researchers in the CamLab have patented a robust, task-space closed-loop controller for continuum manipulators that can be used in constrained environments and does not rely on a model.
Stanford researchers have patented an image sensor that overcomes frame rate and power consumption limits for high-speed mega-pixel imaging, and therefore can extend battery life for mobile phone cameras.
A team of Stanford engineers have developed a fast adaptive optics system for scanning, 3D imaging and sensing with a small (50 µm) multimode fiber (MMF).
Stanford researchers have developed an ultrafast multi-foci two-photon microscope system that aims at 1 kHz full frame rate with 500x500 ?m2 field of view (FOV). It utilizes a 2D foci-array pattern and 1D scanning mechanism to achieve full FOV excitation coverage.
Stanford researchers have developed a simple and effective method to sort semiconducting from metallic single walled carbon nanotubes (SWNT). This scalable technique uses semiconducting polymers to wrap around individual semiconducting SWNTs dispersed in a solution.
Stanford researchers successfully purified highly enriched semiconducting single-walled carbon nanotubes (SWNT) free of any dispersing agent via an easy, fast and scalable method.