Author Archives: Katie Miller

Plasmodium Life Cycle

As a protist, the plasmodium is a eukaryote of the phylum Apicomplexa. Unusual characteristics of this organism in comparison to general eukaryotes include the rhoptry, micronemes, and polar rings near the apical end. The plasmodium is known best for the infection it causes, malaria. Source: Wikimedia

Plasmodium is a genus of the Apicomplexan parasite, which was described in 1885 by Ettore Marchiafava and Angelo Celli and is known to cause malaria.  There are 200 known species of Plasmodium, of which at least 11 species infect humans, while others infect other animals including reptiles, birds, rodents, and monkeys.  The Plasmodium parasite has [...]

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Optics in the Life Sciences Conference

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Ben Wilson, our Optical Tuberculosis Diagnosis Project Lead, recently presented at the Optics in the Life Sciences conference on the Big Island of Hawaii.  The conference brought together optics experts from around the world whose work is helping to advance biological and medical research through the use of optical technologies.  Ben’s presentation focused on our [...]

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EMOD V1.5

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The EMOD program launched its second release of their malaria modeling software last week, just before convening its first annual EMOD Modeling Malaria Symposium. The first version of their software launched in September 2012 and focused on modeling the spread of malaria and the potential impacts of health policies and intervention strategies. The EMOD v1.5 [...]

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Insectary Under Construction

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Our insectary is expanding! The new insectary increases our available workspace and will allow us to expand our mosquito-rearing program and take on new projects. Inside the insectary, we raise species from both the Aedes and Anopheles mosquito genera, and use these mosquitoes in a variety of ways ranging from understanding how they reproduce and [...]

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EMOD’s Basil Bayati Publishes Paper in the Journal of Chemical Physics

FIG. 5. Plot of the number of particles of species u 1 undergoing the reaction u 1 + u 2 → 2 u 1 with α = 1/2 (grey), α = 1 (magenta), α = 3/2 (blue), α = 2 (red). ζ ( x ; t ) represents the number of particles of u 1 at position x at time t .

Basil Bayati, a member of our Epidemiological Modeling team,  recently published a paper in the Journal of Chemical Physics.  The paper — Fractional diffusion-reaction stochastic simulations — details our work with stochastic simulations of reaction-diffusion processes for modeling physical phenomena. The underlying spatial process of physical phenomena, including epidemiological processes, is often assumed to be [...]

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A Story of Invention: the Laser

Diagram of a ruby laser from LLNL document "Laser Programs, the first 25 years"

It is often challenging to link a technology or discovery to a single individual or instant in time, and the technology behind the laser is just one example. The laser was the result of not one individual’s efforts, but the combination of many leading optics and photonics scientists and engineers over the course of history. [...]

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Staff Spotlight: Grace Huynh MD, PhD

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Q: What is your background and what unique skill set do you bring to IV Lab? A: My background is in bioengineering and medicine – my research has primarily focused on developing drug delivery methods to increase the concentration of drugs and nanoparticles in specific tissues, especially the brain. I also have experience working on [...]

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MIT Technology Review names Kymeta as one of 2013′s 50 Disruptive Companies

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Intellectual Ventures’ second spin-out company, Kymeta was recently named as one of 2013′s 50 Disruptive Companies on MIT Technology Review‘s annual list of the world’s innovative technology companies.  Kymeta was recognized in the field of Computing and Communications and was the only satellite technology company that was honored in this year’s list.  The metamaterials-based antenna [...]

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Siamak Ebadi, PhD Interviewed by EEWeb

Siamak Ebadi

Recently, Siamak Ebadi, a Senior RF Design Engineer at IV Lab, was interviewed by EEWeb as part of their Featured Engineer series.  This fascinating spotlight features Siamak’s interest and background in antennas, the projects he has worked on around the world, and what’s on his book shelf.  He even shares an experiential story about his [...]

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EMOD Publishes Paper In Physical Review E

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Recently, our Epidemiological Modeling team published a paper in the American Physical Society’s Physical Review E: statistical, nonlinear, and soft matter physics journal. The paper — Influence of High-order Nonlinear Fluctuations in the Multivariate Susceptible-infectious-recovered Master Equation — details our work with the susecptible-infectious-recovered epidemiological model, which is the canonical model for the propagation of [...]

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