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A Dual Look at Photosystem II Using the World’s Most Powerful X-Ray Laser

By Guest PostFebruary 27, 2013Sciencealgae, berkeley lab, carbon dioxide, catalytic activities, cryogenic temperatures, cyanobacteria, data, earth, energy, free electron laser, green plants, jan kern, junko yano, laser pulses, lcls, light source, linac coherent, living cells, manganese calcium, metal ion, metalloenzyme crystal, metalloenzymes, mn4ca, molecular oxygen, most powerful, natural photosynthesis, nicholas sauter, nitrogen fixation, oxidation states, photo reduction, photon step cycle, photon steps, photosystem, protein complex, proteins, radiation damage, roberto alonso mori, s1 to s4, sensitive to radiation, simulate solar photons, slac, software tools, sunlight, uwe bergmann, vital to life, vittal yachandra, water, water molecules, world, xes, xfel, xray beams, xray diffraction, xray emission spectroscopy, xray laser, xrd

Berkeley Lab and SLAC Researchers Demonstrate Room Temperature Simultaneous Diffraction/Spectroscopy of Metalloenzymes

From providing living cells with energy, to nitrogen fixation, to the splitting of water molecules, the catalytic activities of metalloenzymes – proteins that contain a metal ion – are vital to life on Earth. A better understanding of the chemistry behind these catalytic activities could pave the way for exciting new technologies, most prominently artificial photosynthesis systems that would provide clean, green and renewable energy. Now, researchers with the U.S. Department of Energy (DOE)’s Lawrence Berkeley National Laboratory (Berkeley Lab) and the SLAC National Accelerator Laboratory have taken a major step towards achieving this goal.

Using ultrafast, intensely bright pulses of X-rays from SLAC’s Linac Coherent Light Source (LCLS), the world’s most powerful X-ray laser, the researchers were able to simultaneously image at room temperature the atomic and electronic structures of photosystem II, a metalloenzyme critical to photosynthesis. (more…)

With Random Lasers, Yale Researchers Fight Random Noise, Improve Imaging

Using “random lasers” as a source of illumination in medical imaging equipment could improve both processing time and the clarity of the final images, according to new research by Yale University scientists.

Imaging systems currently rely on a variety of light sources — specialty light bulbs, light-emitting diodes (LEDs), and traditional lasers. But systems using traditional lasers, the brightest of these light sources, often yield undesirable visual byproducts that mar the final picture. One common byproduct, speckle, looks something like a snowfall pattern. (more…)

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A Dual Look at Photosystem II Using the World’s Most Powerful X-Ray Laser

With Random Lasers, Yale Researchers Fight Random Noise, Improve Imaging