scholarly journals Quantifying plasticity in vessel grouping – added value from the image analysis tool ROXAS

IAWA Journal ◽  
2013 ◽  
Vol 34 (4) ◽  
pp. 433-445 ◽  
Author(s):  
Georg von Arx ◽  
Christoph Kueffer ◽  
Patrick Fonti
Keyword(s):  
Image Analysis ◽  
Cross Sections ◽  
Automated Image Analysis ◽  
Added Value ◽  
Analysis Tool ◽  
Vessel Size ◽  
Verbascum Thapsus ◽  
High Resolution Images ◽  
High Degree

The functional role of the connectivity of the xylem network, especially the arrangement of solitary and grouped vessels in a cross section, has often been discussed in the literature. Vessel grouping may improve hydraulic integration and increase resilience to cavitation through redundancy of hydraulic pathways. Alternatively, a high degree of hydraulic integration may facilitate the spread of cavitations among neighboring vessels. Here we show how automated image analysis tools such as ROXAS (see www.wsl.ch/roxas) may greatly enhance the capacity for studying vessel grouping while avoiding some methodological limitations of previous approaches. We tested the new analysis techniques by comparing the xylem network of two populations of the herbaceous species Verbascum thapsus collected at a dry and moist site on Big Island (Hawaii, USA). ROXAS accurately, objectively and reproducibly detected grouped and solitary vessels in high-resolution images of entire root cross sections, and calculated different and partly novel vessel grouping parameters, e.g. the percentage of grouped (vs. solitary) vessels among different vessel size classes. Individuals at the dry site showed a higher degree of vessel grouping, less solitary vessels, greater maximum vessel sizes and an increase of the percentage of grouped vessels with increasing vessel size. The potential, but also some limitations of automated image analysis and the proposed novel parameters are discussed.

scholarly journals Alignment of Au nanorods along de novo designed protein nanofibers studied with automated image analysis

Soft Matter ◽  
2021 ◽  
Author(s):  
Muammer Y. Yaman ◽  
Kathryn N. Guye ◽  
Maxim Ziatdinov ◽  
Hao Shen ◽  
David Baker ◽  
...  
Keyword(s):  
Image Analysis ◽  
De Novo ◽  
Automated Image Analysis ◽  
Analysis Tool ◽  
Au Nanorods

In this study, we focus on exploring the directional assembly of anisotropic Au nanorods along de novo designed 1D protein nanofiber templates using automated image analysis tool.

Automated image analysis tool to measure microbial growth on solid cultures

2018 ◽  
Vol 151 ◽  
pp. 426-430 ◽  
Author(s):  
Francisco Javier Ancin-Murguzur ◽  
Aitor Barbero-López ◽  
Sari Kontunen-Soppela ◽  
Antti Haapala
Keyword(s):  
Image Analysis ◽  
Microbial Growth ◽  
Automated Image Analysis ◽  
Analysis Tool

Angiogenesis Assessed in Tissue Microarrays of Diagnostic Follicular Lymphoma Correlates with Outcome.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2609-2609
Author(s):  
Andrew J. Clear ◽  
Abigail M. Lee ◽  
Kelly J. Morris ◽  
Maria Calaminici ◽  
Finlay Macdougall ◽  
...  
Keyword(s):  
Image Analysis ◽  
Confocal Microscopy ◽  
Follicular Lymphoma ◽  
Blood Vessels ◽  
Prognostic Value ◽  
Tissue Microarrays ◽  
Automated Image Analysis ◽  
Vessel Size ◽  
Sprouting Angiogenesis ◽  
Survivor Group

Abstract Micro-vessel density (MVD) is a powerful prognostic factor in cancers but its value in haematological malignancies is more controversial. To examine its prognostic value in follicular lymphoma (FL) we assessed number and distribution of blood vessels by high-throughput tissue microarray and automated image analysis measurements in tissue microarrays (TMA) of paraffin-embedded, diagnostic lymph node biopsies taken from fifty-nine FL patients. These patients were selected from those who died from lymphoma progression less than 5 years after diagnosis (short survivor group) (n=34) and those who survived more than 15 years from diagnosis (long survivor group) (n=25). Immunohistochemistry was used in TMAs to study the number and location of vessels staining positive for the endothelial cell markers CD31 and CD34 and pericyte coverage using PDGFR. Interactive quantification using image analysis software was used to provide details of absolute numbers of vessels from each patient, as well as vessel size and their location. Image stacks of immunofluorescence stained sections were obtained using laser-scanning confocal microscopy to trace the tumour vasculature. Results demonstrated that both total vessel count and mean vessel area were significantly different between the two groups. Samples from the long survivor group were significantly more likely to have fewer (p=0.025), but larger vessels (p=0.002) than those from the short surviving group. The differences in vessel size and number were more prominent in inter-follicular vessels compared with those inside the neoplastic follicles. The smaller and more numerous blood vessels seen in the poorer prognostic sub-group likely reflects active, sprouting angiogenesis as confirmed by confocal microscopy. This study validates the use of TMAs to examine angiogenesis and demonstrates the powerful prognostic value of assessing MVD in FL. These results suggest that sprouting angiogenesis represents a therapeutic target in this disease and ongoing studies are investigating the mechanisms contributing to alteration in angiogenesis in different prognostic subgroups in FL and in transformation of this disease. The prognostic significance of MVD assessment in TMA is currently being evaluated in a validation set of FL samples.

Image analysis for measuring lichen colonization on and within stonework

2009 ◽  
Vol 41 (3) ◽  
pp. 299-313 ◽  
Author(s):  
Claudia GAZZANO ◽  
Sergio E. FAVERO-LONGO ◽  
Enrica MATTEUCCI ◽  
Rosanna PIERVITTORI
Keyword(s):  
Image Analysis ◽  
High Resolution ◽  
Cultural Heritage ◽  
Cross Sections ◽  
Periodic Acid ◽  
Lichen Species ◽  
Pixel Classification ◽  
Percentage Cover ◽  
Periodic Acid Schiff ◽  
High Resolution Images

AbstractThe suitability of image analysis by colour-based pixel classification to quantify lichen colonization on the surface of and within marble, travertine and mortar stonework has been investigated. High resolution images of lichenized stonework surfaces were acquired at different field sites using a scanner, thus avoiding invasive surveys, and the percentage cover of lichen species was subsequently measured in the laboratory using dedicated software. Furthermore, microphotographs of polished cross-sections of lichenized marble, travertine and mortar, stained using the periodic acid-Schiff (PAS) method to visualize hyphae, were produced by the same software to quantify hyphal spread within the substratum, a parameter which can be used more successfully than the commonly used depth of hyphal penetration to quantify how much the lichen has affected the conservation of a stone substratum. Significant statistical differences in hue, saturation and intensity (HSI) of the lichen thalli and PAS-stained hyphae, with respect to the lithic substrata, allowed the software to discriminate and quantify the lichen species cover on, and hyphal spread within, the three investigated lithotypes. Since such a quantitative approach highlights the volume of influence of lichens on stonework, where bioweathering processes are likely to develop, it could be used to support decisions on the preservation of our stone cultural heritage.

Practical Means for Enhancing the Contrast of Carbon Black Aggregates in Electron Micrographs for Quantitative Image Analysis,

1976 ◽  
Vol 34 ◽  
pp. 550-551
Author(s):  
F. A. Heckman ◽  
J. E. Connolly ◽  
E. Redman
Keyword(s):  
Image Analysis ◽  
Electron Micrographs ◽  
Automated Image Analysis ◽  
Photographic Images ◽  
Image Characteristics ◽  
Essential Properties ◽  
Quantitative Image ◽  
The Individual ◽  
High Degree ◽  
Superior Image Quality

The first goal of the work described below was to investigate and establish means for producing ultra high quality photographic images for automated image analysis. This procedure was absolutely mandatory because no reliable quantitative automated image analysis can be done with images which are deficient in any one of a number of essential properties. The second goal was to achieve a high degree of reproducibility in preparing the image. In order to achieve these goals we set out to optimize our image characteristics heuristically.We have found that high contrast is the most important factor in attaining superior image quality in electron micrographs of carbon blacks. The individual factors which affect image contrast in electron micrographs have been discussed in the literature.

scholarly journals Role of correlations in two-neutron transfer reactions

2019 ◽  
Vol 223 ◽  
pp. 01035
Author(s):  
Jesus Lubian ◽  
Jonas L. Ferreira ◽  
Roberto Linares ◽  
Erica N. Cardozo ◽  
Barbara Paes ◽  
...  
Keyword(s):  
Experimental Data ◽  
Angular Distribution ◽  
Cross Sections ◽  
Incident Energy ◽  
Transfer Reactions ◽  
Neutron Transfer ◽  
Pairing Correlation ◽  
High Degree ◽  
Theoretical Results

This work presents theoretical results compared with the experimental data for the two–neutron transfer angular distribution in which a beam of 18O nucleus, at 84 MeV incident energy, has collided onthe 13C, 28Si, and 64Ni targets. The two-neutron transfer in the 9Be(7Be,9Be)7Be reaction, at 23.1 MeV incident energy, was also analyzed. The main goal was to verify the relevance of the pairing correlation of the two transferred neutrons on the cross sections and to show its role when both neutrons are transferred to states with a low and high degree of collectivity.

scholarly journals Influence of seed set on apple symmetry assessed by image analysis: an overlooked effect of pollination on fruit shape.

2021 ◽  
Author(s):  
Luca Carisio ◽  
Sara Straffon Díaz ◽  
Aulo Manino ◽  
Marco Porporato
Keyword(s):  
Image Analysis ◽  
Seed Set ◽  
Fruit Production ◽  
Fruit Shape ◽  
Quality Parameters ◽  
Medium Size ◽  
Analysis Tool ◽  
Longitudinal Plane ◽  
Large Size

Abstract The role of pollination ecosystem service on crop yield and some quality parameters have been largely studied. Nevertheless, the effect of pollination on fruit appearance is still a poorly explored field and it has been assessed by means of oversimplified measurements. Here, we developed an image analysis tool to test the hypothesis that pollination greatly affects the symmetry of one of the most consumed fruit worldwide: the apple. The hypothesis was tested for three commercial classes separately, to understand whether the pollination effect was consistent among classes. We also compared the performance of the image analysis tool with a simplified symmetry measurement that has been previously used. Finally, the effect of pollination on apple symmetry was compared with the effect on weight. We quantified the amount of non-symmetrical area of harvested Gala cultivar apples using two-dimension images of fruits sectioned along the longitudinal plane. We showed that increasing pollination led to significant increase of apple symmetry. The image analysis tool resulted more precise to assess the pollination effect on fruit symmetry than the previously used symmetry measurement, leading to the conclusion that pollination effect on apple shape has been probably overlooked because of the use of oversimplified symmetry measures. The effect of pollination on apple symmetry was not consistent among commercial classes since it resulted significant for little and medium size apples but unimportant for large size apples. Differently from the symmetry, apple weight appeared as not influenced by the pollination. Our findings suggest that the effect of pollination on fruit production should be assessed taking into account different variables and different commercial classes of apple.

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