Automated classification of biological cells according to their 3D morphology is highly desired in a flow cytometer setting. We have investigated this possibility experimentally and numerically using a diffraction imaging approach. A fast image analysis software based on the gray level co-occurrence matrix (GLCM) algorithm has been developed to extract feature parameters from measured diffracti...

flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. usually, a correct description of the lateral variations of reservoir is associated with uncertainties. from this point of view, the well data alone does not cover reservoir properties. because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

Abstract Underestimation of hydrodynamic downpull force is one the most dangerous risks when operating a vertical lift gate. The acting on gate affected by geometry. purpose this study to investigate influence lip angle gates using Flow-3D®, commercial CFD software. Simultaneously, performance Flow-3D® in estimating evaluated. investigated simulating flow under different angles at openings. set...

We introduce a framework to estimate and refine 3D scene flow which connects 3D structures of a scene across different frames. In contrast to previous approaches which compute 3D scene flow that connects depth maps from a stereo image sequence or from a depth camera, our approach takes advantage of full 3D reconstruction which computes the 3D scene flow that connects 3D point clouds from multi-...

This work presents the software architecture SCA3D as a flexible framework for distributed 3D visualization which allows an extended view on new concepts for management of complex and protected 3D documents. Digital data have a determining influence on the modern work flow from the first conception phase to the final manufacturing of a product. In most cases the work flow is a distributed proce...

Quantitatively capturing developmental processes is crucial to derive mechanistic models and key to identify and describe mutant phenotypes. Here protocols are presented for preparing embryos and adult C. elegans animals for short- and long-term time-lapse microscopy and methods for tracking and quantification of developmental processes. The methods presented are all based on C. elegans strains...

PURPOSE Computational flow dynamic (CFD) study has not been widely applied in intracranial artery stenosis due to requirement of high resolution in identifying the small intracranial artery. We described a process in CFD study applied to symptomatic severe intracranial (M1) stenosis before and after stenting. MATERIALS AND METHODS Reconstructed 3D angiography in STL format was transferred to ...