Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: I. Application to a granulation process

Image analysis techniques were developed and applied to quantify the process of anaerobic granulation in an expanded granular sludge blanket reactor (EGSB) fed with a synthetic substrate based on glucose [60-30% COD (chemical oxygen demand)] and volatile fatty acids (40-70% COD) over 376 days. In a first operation period that lasted 177 days, the aggregation of dispersed sludge was quantitatively monitored through the recognition and quantification of aggregates and filaments. A parameter defined as the ratio between the filaments' length and the aggregates projected area (LfA) has proven to be sensitive to detect changes in the aggregation status of the anaerobic sludge. The aggregation time-defined as the moment when a balance between filaments' length and aggregates' size was established-was recognized through the LfA. The percentage of projected area of aggregates within three size ranges (0.01-0.1 mm, 0.1-1 mm, and >1 mm, equivalent diameter) reflected the granular size spectrum during the aggregation process. When sudden increases on the upflow velocity and on the organic loading rate were applied to the previously formed granules, the developed image analysis techniques revealed to be good indicators of granular sludge stability, since they were sensitive to detected filaments release, fragmentation, and erosion that usually leads to washout. The specific methanogenic activities in the presence of acetate, propionate, butyrate, and H(2)/CO(2) increased along the operation, particularly relevant was the sudden increase in the specific hydrogenophilic activity, immediately after the moment recognized as aggregation time.     

Flow cytometry as a tool to quantify oyster defence mechanisms

The fast growing oyster aquaculture industry is greatly hindered by Perkinsus marinus and Haplosporidium nelsoni which can kill up to 80% of the production. The relationship between parasites and oyster defence mechanisms is unclear. Two defence mechanisms of the Eastern Oyster (Crassostrea virginica) were quantified at the single cell level utilising flow cytometry. Phagocytosis was measured using fluorescent beads. Respiratory burst activity was quantified as the H2O2-specific increase in dichlorofluorescein-associated fluorescence upon stimulation. These two assays distinguished three populations of haemocytes (granulocytes, hyalinocytes and intermediate cells) with unique functional characteristics. Granulocytes were most active at phagocytosis and H2O2 production while hyalinocytes were relatively inactive. The intermediate cells had moderate phagocytic and respiratory burst activity. Flow cytometry can rapidly, accurately and directly quantify the morphology and function of a large number of individual cells, and will lead to a better understanding of the bivalve immune system.     

Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: II. Application to a granule deterioration process triggered by contact with oleic acid

Image analysis techniques are applied to monitor the morphological changes in granular sludge present in an expanded granular sludge blanket (EGSB) reactor fed with oleic acid. Deterioration of granular sludge was monitored along the trial period by measuring the percentage of aggregates smaller than 1 mm (in terms of Feret diameter) either in terms of projected area or in terms of number of aggregates. A good correlation was obtained between these values and the percentage of aggregates smaller than 1 mm were physically sorted and quantified by the volatile suspended solid content. The ratio of total filaments length to cross-sectional area of aggregates defined as LfA, was applied to quantify the dispersion level of the granular sludge, which increased until day 141 and remained almost invariant afterwards. LfA was sensitive to the sludge deterioration process and was able to indicate, with the anticipation of about 1 month, the most significant biomass washout episode that occurred in the trial period. A mechanism of filaments' release, detachment and selective washout was proposed to explain the action of LfA from this viewpoint. The equivalent diameter of the bottom aggregates larger than 1 mm increased with the increase on the amount of long chain fatty acids associated with the biomass by mechanisms of adsorption, precipitation, or entrapment. After a threshold value of about 200 mg COD-LCFA gVSS (COD = chemical oxygen demand; LCFA = long chain fatty acids; VSS = volatile suspended solids), a migration of granular sludge from the bottom to a top-floating layer was evident.     

Respirometry as a tool to quantify kinetic parameters of microalgal mixotrophic growth

Bioprocess and Biosystems Engineering - Modeling microalgal mixotrophy is challenging, as the regulation of algal metabolism is affected by many environmental factors. A reliable tool to simulate...     

Use of image analysis software as a tool to visualize non-radioactive signals in plantin situ analysis

In situ hybridization (ish) allows the visualization of gene expression in tissues at high microscopic resolution. Interference by plant tissue pigments generally confers higher sensitivity to radioactiveish, relative to non-radioactiveish using hapten labeled probes. The increased resolution is partially due to image acquisition methods in radioactiveish experiments. However, radioactiveish has many drawbacks including short probe life, safety concerns associated with the use of radioactive materials, and slow development of signal. In this report, we show how commercially available image analysis software can be used to extract data from non-radioactiveish images to gain a substantial increase in resolution. We provide a comparison between detecting a probe (CELLULOSE SYNTHASE) that is expected to produce a consistent, detectable signal in all growing tissues with detection of a probe (LEAFY)that is expected to produce a signal only in specific tissues. Although the scientific content of this article has been reviewed,the full-text Web publication has not been edited in detail.     

Evaluation of FT-IR spectroscopy as a tool to quantify bacteria in binary mixed cultures

Fourier-transform infrared (FT-IR) spectroscopy is known as a high-resolution method for the rapid identification of pure cultures of microorganisms. Here, we evaluated FT-IR as a method for the quantification of bacterial populations in binary mixed cultures consisting of Pseudomonas putida and Rhodococcus ruber. A calibration procedure based on Principal Component Regression was developed for estimating the ratio of the bacterial species. Data for method calibration were gained from pure cultures and artificially assembled communities of known ratios of the two member populations. Moreover, to account for physiological variability, FT-IR measurements were performed with organisms sampled at different growth phases. Measurements and data analyses were subsequently applied to growing mixed cultures revealing that growth of R. ruber was almost completely suppressed in co-culture with P. putida. Population ratios obtained by fatty acid analysis as an independent reference method were in high agreement with the FT-IR derived ratios.     

Polyene-lipids: a new tool to image lipids

Microscopy of lipids in living cells is currently hampered by a lack of adequate fluorescent tags. The most frequently used tags, NBD and BODIPY, strongly influence the properties of lipids, yielding analogs with quite different characteristics. Here, we introduce polyene-lipids containing five conjugated double bonds as a new type of lipid tag. Polyene-lipids exhibit a unique structural similarity to natural lipids, which results in minimal effects on the lipid properties. Analyzing membrane phase partitioning, an important biophysical and biological property of lipids, we demonstrated the superiority of polyene-lipids to both NBD- and BODIPY-tagged lipids. Cells readily take up various polyene-lipid precursors and generate the expected end products with no apparent disturbance by the tag. Applying two-photon excitation microscopy, we imaged the distribution of polyene-lipids in living mammalian cells. For the first time, ether lipids, important for the function of the brain, were successfully visualized.     

Blood puncture as a nondestructive sampling tool to obtain DNA in frogs: comparison of protocols and survival analysis

In molecular biology studies of Anura, nondestructive methods to obtain genetic material are needed as alternatives to toe clipping. This work evaluates a nondestructive method for sampling DNA from blood puncture, comparing the performance of three different extraction protocols (Qiagen Kit, Salting-out and Chelex). We collected 134 individuals of Eleutherodactylus johnstonei, extracting blood via puncture of the medial vein using commercial-grade glucometer lancets. We extracted 100-1880 ng DNA, finding no differences between the extraction protocols. We compared the quality of the resulting DNA through amplification and sequencing of the 16S mitochondrial gene. Amplification was successful for the three extraction protocols, although Chelex showed better performance, making it the most recommendable protocol for extraction of DNA from blood. The resulting sequences corresponded to those registered in the GenBank for this species. Additionally, we found no significant differences in survival or weight change between the individuals that were manipulated and a control group (mean survival 66.7% treated, 62.9% untreated). Data reveal that blood samples obtained by puncture are a convenient alternative to other tissues (phalange, buccal swab, liver) that have traditionally been used as DNA sources for anurans. The technique is applicable to small and large species, covering most anuran diversity, provides enough DNA for many genetic applications and produces no noticeable effect on the survival or performance, given that it does not affect the motor parts or the dexterity of the animals.     

A high-throughput analysis method to detect regions of interest and quantify zebrafish embryo images

Zebrafish is widely used to understand neural development and model various neurodegenerative diseases. Zebrafish embryos are optically transparent, have a short development period, and can be kept alive in microplates for days, making them amenable to high-throughput microscopic imaging. As a result of high-throughput experiments, a large number of images can be generated in a single experiment, posing a challenge to researchers to analyze them efficiently and quantitatively. In this work, we develop an image processing focused on detecting and quantifying pigments in zebrafish embryos. The algorithm automatically detects a region of interest (ROI) enclosing an area around the pigments and then segment the pigments for quantification. In this process, the algorithm identifies the head and torso at first, and then finds the boundaries corresponding to the back and abdomen by taking advantage of a priori information about the anatomy of zebrafish embryos. The method is robust in terms that it can detect and quantify pigments even when the embryos have different orientations and curvatures. We used real data to demonstrate the performance of the method to extract phenotypic information from zebrafish embryo images and compared its results with manual analysis for verification.     

DisCons: a novel tool to quantify and classify evolutionary conservation of intrinsic protein disorder

Background

Analyzing the amino acid sequence of an intrinsically disordered protein (IDP) in an evolutionary context can yield novel insights on the functional role of disordered regions and sequence element(s). However, in the case of many IDPs, the lack of evolutionary conservation of the primary sequence can hamper the study of functionality, because the conservation of their disorder profile and ensuing function(s) may not appear in a traditional analysis of the evolutionary history of the protein.

Results

Here we present DisCons (Disorder Conservation), a novel pipelined tool that combines the quantification of sequence- and disorder conservation to classify disordered residue positions. According to this scheme, the most interesting categories (for functional purposes) are constrained disordered residues and flexible disordered residues. The former residues show conservation of both the sequence and the property of disorder and are associated mainly with specific binding functionalities (e.g., short, linear motifs, SLiMs), whereas the latter class correspond to segments where disorder as a feature is important for function as opposed to the identity of the underlying sequence (e.g., entropic chains and linkers). DisCons therefore helps with elucidating the function(s) arising from the disordered state by analyzing individual proteins as well as large-scale proteomics datasets.

Conclusions

DisCons is an openly accessible sequence analysis tool that identifies and highlights structurally disordered segments of proteins where the conformational flexibility is conserved across homologs, and therefore potentially functional. The tool is freely available both as a web application and as stand-alone source code hosted at http://pedb.vib.be/discons.     

AMIDE: a free software tool for multimodality medical image analysis

Amide's a Medical Image Data Examiner (AMIDE) has been developed as a user-friendly, open-source software tool for displaying and analyzing multimodality volumetric medical images. Central to the package's abilities to simultaneously display multiple data sets (e.g., PET, CT, MRI) and regions of interest is the on-demand data reslicing implemented within the program. Data sets can be freely shifted, rotated, viewed, and analyzed with the program automatically handling interpolation as needed from the original data. Validation has been performed by comparing the output of AMIDE with that of several existing software packages. AMIDE runs on UNIX, Macintosh OS X, and Microsoft Windows platforms, and it is freely available with source code under the terms of the GNU General Public License.     

Green fluorescent protein-labeled monitoring tool to quantify conjugative plasmid transfer between Gram-positive and Gram-negative bacteria

On the basis of pIP501, a green fluorescent protein (GFP)-tagged monitoring tool was constructed for quantifying plasmid mobilization among Gram-positive bacteria and between Gram-positive Enterococcus faecalis and Gram-negative Escherichia coli. Furthermore, retromobilization of the GFP-tagged monitoring tool was shown from E. faecalis OG1X into the clinical isolate E. faecalis T9.     

Spectral analysis of the surface electromyogram as a tool for studying rate modulation: A comparison between theory,simulation, and experiment

Theoretical work suggests that if the interpulse intervals (IPIs) of motor unit action potential trains (MUAPTs) are independently and normally distributed, then spectral analysis of the electromyogram could be a useful tool for studying rate modulation by virtue of the presence of a peak in the power spectrum at the average firing frequency of all active motor units. It is shown in this paper that IPIs need not be normally distributed, specifically that the results are very much the same if the IPIs are distributed according to a Gamma probability density function (PDF). Simulation of the electromyogram based on this theory proved the applicability of the method. Experimental results obtained for the masseter, biceps brachii and first dorsal interosseus (FDI) muscles, however, were in disagreement with both theory and simulation except for the biceps muscle at force levels up to 20% of the maximal force and for the masseter and FDI muscles in 1 out of 5 subjects. This indicates that the models for MUAPTs hitherto used might not be generally correct. Apart from this discrepancy, our results reveal differences between masseter and FDI muscles on the one hand and the biceps brachii on the other, which indicate that motor unit synchronisation is much more pronounced in the latter muscle.     

MOSBIE: a tool for comparison and analysis of rule-based biochemical models

Background

Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presents significant challenges that range from identifying structural similarities and differences between models to understanding how these differences affect system dynamics.

Results

We present the development and features of an interactive model exploration system, MOSBIE, which provides utilities for identifying similarities and differences between models within a family. Models are clustered using a custom similarity metric, and a visual interface is provided that allows a researcher to interactively compare the structures of pairs of models as well as view simulation results.

Conclusions

We illustrate the usefulness of MOSBIE via two case studies in the cell signaling domain. We also present feedback provided by domain experts and discuss the benefits, as well as the limitations, of the approach.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-316) contains supplementary material, which is available to authorized users.     

Computer image analysis to quantify and analyze stable transformation identified using the histochemical GUS assay

A precise and efficient protocol using computer image analysis for quantifying the area of explants that show stable expression of the GUS reporter gene is described. This protocol offers the advantages of quantifying results of the histochemical GUS assay thereby allowing statistical analysis of results, while still retaining information on tissue or organ-specific activity.     

Automated image analysis of bacterial colony growth as a tool to study individual lag time distributions of immobilized cells

A method to determine the individual lag time (lag) distributions of immobilized bacteria was presented. The method was based on the image analysis of the bacterial colony growth. The lag distributions were retrieved from the distributions of the detection times (Td) required to form macroscopically visible colonies. Using this method, the lag distributions on agar for Listeria monocytogenes cells previously subjected to two situations reproducing conditions encountered during the contamination of cheese, were determined. The results were presented and compared with lag distributions obtained with an established method based on the time to detection of turbidity in broth. An original method to retrieve lag in broth and agar without any knowledge of the growth rate was also proposed. In order not to bias the distributions of lag on agar the impact of spatial separation between colonies on colony growth rates was quantified. Means and standard deviations of lag distributions for the two different stresses were found to be similar in broth and on agar. Extreme Value type II distributions fitted the best the different datasets of lag distributions.     

Variation partitioning as a tool to distinguish between niche and neutral processes

We assess the potential of different forms of variation partitioning to distinguish between environmental control and dispersal limitation in communities structured by combinations of niche and neutral processes. Simulation data reveal interactions between dispersal limitation, environmental control, and the spatial structure of environmental factors in the detected levels of variance fractions. The degree of dispersal limitation contributes to both the pure environmental and pure spatial variance partitions. This undermines the common practice of interpreting these partitions as direct expressions of niche and neutral processes, respectively. Furthermore, the proportion of variation attributed to environmental variation depends not only on the strength of environmental control, but also on the specific spatial configuration of the environmental variable. This has important implications for the interpretation of empirical studies. In particular, use of these analytical techniques to compare processes governing community structure among different study systems is unwarranted, as the results will reflect not only differences in the strength of the processes of interest, but also the influence of the unique spatial arrangement of the environmental variables in each system.