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Pseudocalanus copepods are small, abundant zooplankton in the Bering Sea ecosystem that play an important role in transferring primary production to fish and other higher trophic-level predators. Four morphologically cryptic species, the primarily arctic Pseudocalanus minutus and Pseudocalanus acuspes , and the more temperate Pseudocalanus newmani and Pseudocalanus mimus , are found within the Bering Sea. Pseudocalanus are generally considered phytoplanktivores. However, their feeding is poorly known, despite their importance to the ecosystem. In situ feeding by the three most abundant Pseudocalanus congeners, P. minutus , P. newmani , and P. acuspes , was investigated by sequencing partial 18S rDNA (ribosomal Deoxyribonucleic Acid) of gut contents from 225 individuals sampled from 8 stations across the Bering Sea in May and June of 2010. The 28,456 prey 18S rDNA sequences obtained clustered into 138 distinct prey items with a 97% similarity cut-off, and included diatoms, dinoflagellates, microzooplankton, mesozooplankton, and vascular plants. Pseudocalanus diets reflected variations in the environment, with phytoplankton sequences relatively more abundant in copepods from stations with higher water-column chlorophyll a concentrations. Feeding differences were observed between species. P. acuspes diet contained relatively more heterotrophic dinoflagellate sequences, and was significantly different from that of P. minutus and P. newmani, both of which contained relatively more diatom sequences, and between which no significant difference was observed. Feeding differences between the two primarily arctic species may be a mechanism of niche partitioning between these spatially co-located congeners and may have implications for the effects of climate change on the success of these abundant zooplankters and their many predators in this ecosystem. [ABSTRACT FROM AUTHOR]

There is a large diversity of eukaryotic symbionts of copepods, dominated by epizootic protists such as ciliates, and metazoan parasites. Eukaryotic endoparasites, copepod-associated bacteria, and viruses are less well known, partly due to technical limitations. However, new molecular techniques, combined with a range of other approaches, provide a complementary toolkit for understanding the complete symbiome of copepods and how the symbiome relates to their ecological roles, relationships with other biota, and responses to environmental change. In this review we provide the most complete overview of the copepod symbiome to date, including microeukaryotes, metazoan parasites, bacteria, and viruses, and provide extensive literature databases to inform future studies. Copepods are vectors of pathogens of other aquatic organisms, including commercially harvested species and those used for aquaculture. Extensive supplementary materials are provided, referencing copepod-associated eukaryotes, bacteria, and viruses. Phylogenetic analyses of dinoflagellate and microsporidian parasites of copepods show a wide phylogenetic distribution of parasitic lineages, with some copepod-infecting specialists and evolutionary radiations. The review provides an overview of recent high-throughput sequencing (microbiome, symbiome) studies of copepods and their physiological implications for marine ecosystems. Synthesizing the relationship between host, environment, and symbiome/pathobiome is important for understanding copepod health and population dynamics, and also the contribution of the copepod holobiont to biogeochemical cycling. [ABSTRACT FROM AUTHOR]

Previous research into the use of Flame Hydrolysis Deposition (FHD) of glasses in integrated optics has focused on the successful commercial exploitation of low cost optical devices within the field of telecommunications and optoelectronics. Recently we have sought to apply these fabrication technologies to the development of optical biochips, utilising their ability to be integrated with microfluidics as a ‘Lab-on-a-chip’ platform. In this paper, we carry this development forward by seeking to create a microarray of integrated optical sensing elements, addressed using a glass-polymer hybrid technology in which poly(dimethylsiloxane), PDMS, is used as an elastomeric packaging over-layer. In particular, we describe the wide range of modelling and microfabrication processes required for the successful manufacture, integration and packaging of such arrays. The integration of both optical and fluidic circuits in this device avoids precise alignment requirements and results in a compact, robust and reliable device. Finally, in this paper, we describe the implementation of a pumping system for delivering small amounts of fluid across the array together with an optical signal treatment. [Copyright &y& Elsevier]

Particle processing industries, such as pharmaceutical, food processing and consumer goods sectors, increasingly require strategies to control and engineer particle attributes. In both traditional batch and continuous processes, particle size and shape need to be effectively monitored through in-line measurements from Process Analytical Technologies. However, obtaining quantitative information from these measurements has proven to be challenging and in-line imaging techniques are primarily used for qualitative purposes. Two key challenges are: (1) the presence of out-of-focus objects and (2) images only represent 2D projections of three-dimensional objects. In this work, a novel framework to process frames from in-line imaging probes incorporates a focus evaluation step in order to extract meaningful quantitative shape and size information through rejection of out-of-focus particles. Furthermore, a model is proposed that simulates the 2D projection of three-dimensional particles onto the focal plane and computes the corresponding size and shape distributions. The framework is quantified and evaluated against standard particles of well-defined size and shape such as polystyrene microspheres and needle-like cuboid silicon particles. [ABSTRACT FROM AUTHOR]

Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process to obtain required attributes will be greatly facilitated using robust algorithms providing the size and shape information of the particles from in situ measurements. However, obtaining particle size and shape information in situ during manufacturing has been a big challenge. This is because the problem of estimating particle size and shape (aspect ratio) from signals provided by in-line measuring tools is often ill posed, and therefore it calls for appropriate constraints to be imposed on the problem. One way to constrain uncertainty in estimation of particle size and shape from in-line measurements is to combine data from different measurements such as chord length distribution (CLD) and imaging. This paper presents two different methods for combining imaging and CLD data obtained with in-line tools in order to get reliable estimates of particle size distribution and aspect ratio, where the imaging data is used to constrain the search space for an aspect ratio from the CLD data. [ABSTRACT FROM AUTHOR]

Fouling or encrustation is a significant problem in continuous crystallisation processes where crystal deposits at surfaces impede heat transfer, increase flow resistance and reduce product quality. This paper proposes an automatic algorithm to detect early stages of fouling using images of vessel surfaces from commodity cameras. Statistical analysis of the pixel intensity variation offers the ability to distinguish appearance of crystals in the bulk solution and on the crystalliser walls. This information is used to develop a fouling metric indicator and determine separately induction times for appearance of first crystals at the surfaces and in the bulk. A method to detect process state changes using Bayesian online change point detection is also proposed, where the first change point is used to determine induction time either at the surface or in the bulk, based on real-time online measurements without using any predetermined threshold which usually varies between experiments and depends on data acquisition equipment. This approach can be used for in situ monitoring of early signs of encrustation to allow early warning for corrective actions to be taken when operating continuous crystallisation processes. [ABSTRACT FROM AUTHOR]