Rodriguez, an assistant professor of chemistry and biochemistry in the UCLA College, develops and applies new scientific methods in bio-imaging to determine, and provide a deep scientific understanding of, cellular and molecular structures and reveal undiscovered structures that influence chemistry, biology and medicine. His research combines computational, biochemical and biophysical experiments. His laboratory is working to explore the structures adopted by prions — a form of infectious protein that causes neurodegenerative disorders. Prion proteins, like the amyloid proteins associated with Alzheimer’s disease, form large clumps that damage and ultimately kill neurons in the brain. Among his awards and honors, Rodriguez won a 2019 Packard fellowship for Science and Engineering by the David and Lucile Packard Foundation; a 2018 Pew scholar in the biomedical sciences, a 2017 Searle Scholar and a 2017 Beckman Young Investigator by the Arnold and Mabel Beckman Foundation.
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The Alfred P. Sloan Foundation congratulates the winners of the 2020 Sloan Research Fellowships. These 126 early-career scholars represent the most promising scientific researchers working today. Their achievements and potential place them among the next generation of scientific leaders in the U.S. and Canada. Winners receive $75,000, which may be spent over a two-year term on any expense supportive of their research.
Congrats to Naomi Ginsberg for Receiving the 2020 Physical Chemistry Division Award from the American Chemical Society
The 2020 Early-Career Award in Experimental Physical Chemistry is awarded to Prof. Naomi S. Ginsberg at UC-Berkeley, “For the development of new time- and space-resolved imaging and spectroscopy methods to study dynamical phenomena in heterogeneous materials.” The Physical Chemistry Division annually sponsors senior and early-career awards in theoretical and experimental physical chemistry that are intended to recognize the most outstanding scientific achievements of members of the Division. The 2020 recipients will be honored at the the Fall ACS National Meeting in San Francisco.
UCLA STROBE researchers show how a radiofrequency cavity can be used as an electron longitudinal lens in order to produce a highly magnified temporal replica of an ultrafast process, and, in combination with a deflecting cavity, enable streaked electron images of optical-frequency phenomena, taking advantage of the time-stretch concept.
A STROBE team from the Miao group at UCLA implementated a powerful new tomographic algorithm, termed GENeralized Fourier Iterative REconstruction (GENFIRE), for high-resolution 3D reconstruction from a limited number of 2D projections. GENFIRE assembles a 3D Fourier grid with oversampling and then iterates between real and reciprocal space to search for a solution that is consistent with the measured data and physical constraints. This new algorithms has enabled many new imaging advances.
A STROBE team led by Prof. Miao, in collaboration with Argonne National Laboratory, implemented hybrid 3D X-ray microscopy by combining cryogenic hard X-ray ptychography and X-ray fluorescence microscopy. Here, STROBE’s advanced GENFIRE tomography algorithm was used to correlate high resolution ultrastructure mapping and elemental distributions in an unlabeled, frozen-hydrated green algae.
The ability to record large field of view images without a loss in spatial resolution is critical for many applications of imaging science. However, for most imaging techniques, an increase in field-of-view comes at the cost of decreased resolution. STROBE scientists at CU Boulder implemented a novel extension to ptychographic coherent diffractive imaging that permits simultaneous full-field imaging of multiple simultaneous locations on a sample, by illuminating it with spatially separated, interfering beams. This technique allows for large field-of-view imaging in amplitude and phase while maintaining diffraction-limited resolution, without an increase in collected data i.e. diffraction patterns acquired.
A STROBE team led by Simon Weiss implemented semiconductor-based voltage sensors as neuronal activity imaging probes. Unlike conventional voltage sensors, these nanosensors operating via the quantum confined Stark effect are highly sensitive, bright, and fast-responding. With further optimization, these nanosensors may enable single-particle detection and facilitate monitoring of neuronal signals at the nanoscale.
A STROBE team from UCLA, Berkeley and Boulder developed a nanoscale multimodal X-ray and electron microscopy framework that is applicable to a wide range of inhomogeneous samples with complex structural and chemical properties. Using an Allende meteorite as an example, we performed structural and chemical mapping to infer the mineral composition and its potential processes. This work opens a route to future microscopies of complex materials.
A STROBE team led by Prof. Waller, created a novel computational imaging autofocusing system for microscopes utilizing an of-the-shelf LED and a machine learning algorithm with optical physics knowledge incorporated into its design.