In response to the recognized need for high throughput biodosimetry methods for use after large scale radiological events, a logical approach is complete automation of standard biodosimetric assays that are currently performed manually. We describe progress to date on the RABIT (Rapid Automated BIodosimetry Tool), designed to score micronuclei or γ-H2AX fluorescence in lymphocytes derived from a single drop of blood from a fingerstick. The RABIT system is designed to be completely automated, from the input of the capillary blood sample into the machine, to the output of a dose estimate. Improvements in throughput are achieved through use of a single drop of blood, optimization of the biological protocols for in-situ analysis in multi-well plates, implementation of robotic plate and liquid handling, and new developments in high-speed imaging. Automating well-established bioassays represents a promising approach to highthroughput radiation biodosimetry, both because high throughputs can be achieved, but also because the time to deployment is potentially much shorter than for a new biological assay. Here we describe the development of each of the individual modules of the RABIT system, and show preliminary data from key modules. Ongoing is system integration, followed by calibration and validation.
In this paper, a three-dimensional adaptive finite element method is developed for a variational phase field bending elasticity model of vesicle membrane deformations. Using a mixed finite element formulation, residual type a posteriori error estimates are derived for the associated nonlinear system of equations and, they are used to introduce the mesh refinement and coarsening. The resulting mesh adaptivity significantly improves the efficiency of the phase field simulation of vesicle membranes and enhances its capability in handling complex shape and topological changes. The effectiveness of the adaptive method is further demonstrated through numerical examples.Key words. vesicle membrane, phase field, elastic bending energy, a posteriori error estimator, adaptive finite element, mixed finite element AMS subject classifications. 65N30, 70G75, 92C05
Past decades have seen enormous efforts to achieve subdiffraction resolution optical imaging, but most of them are suffering from either complex near‐field manipulation or prelabeling of specific specimen, like scanning near‐field optical microscopes and stimulated emission depletion microscopes. The optical super‐oscillation phenomenon seems to provide a method of far field super‐resolution imaging without particularly dealing with objects. However, the reported optical super‐oscillation imaging methods were usually constrained to narrow bandwidth, which is mainly due to the inherent complex light interference features. Here, benefiting from the nearly dispersionless feature of phase modulations with metasurface, a super‐oscillatory metasurface filter is proposed for broadband super‐resolution imaging. In demonstrative experiments, resolving ability of about 0.64 times of the Rayleigh criterion is obtained for visible light ranging from 400 to 700 nm. This method is expected to potentially promote the development of super‐resolving telescopes and microscopes based on super‐oscillation optics.
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