scholarly journals Co-Density Distribution Maps for Advanced Molecule Colocalization and Co-Distribution Analysis

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6385
Author(s):  
Ilaria De Santis ◽  
Luca Lorenzini ◽  
Marzia Moretti ◽  
Elisa Martella ◽  
Enrico Lucarelli ◽  
...  
Keyword(s):  
Density Distribution ◽  
Relative Position ◽  
Signal Intensity ◽  
Visual Inspection ◽  
Correlation Coefficients ◽  
Distribution Analysis ◽  
Important Indicator ◽  
Distribution Maps ◽  
Local Abundance ◽  
Potential Improvement

Cellular and subcellular spatial colocalization of structures and molecules in biological specimens is an important indicator of their co-compartmentalization and interaction. Presently, colocalization in biomedical images is addressed with visual inspection and quantified by co-occurrence and correlation coefficients. However, such measures alone cannot capture the complexity of the interactions, which does not limit itself to signal intensity. On top of the previously developed density distribution maps (DDMs), here, we present a method for advancing current colocalization analysis by introducing co-density distribution maps (cDDMs), which, uniquely, provide information about molecules absolute and relative position and local abundance. We exemplify the benefits of our method by developing cDDMs-integrated pipelines for the analysis of molecules pairs co-distribution in three different real-case image datasets. First, cDDMs are shown to be indicators of colocalization and degree, able to increase the reliability of correlation coefficients currently used to detect the presence of colocalization. In addition, they provide a simultaneously visual and quantitative support, which opens for new investigation paths and biomedical considerations. Finally, thanks to the coDDMaker software we developed, cDDMs become an enabling tool for the quasi real time monitoring of experiments and a potential improvement for a large number of biomedical studies.

scholarly journals Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 1009
Author(s):  
Ilaria De Santis ◽  
Michele Zanoni ◽  
Chiara Arienti ◽  
Alessandro Bevilacqua ◽  
Anna Tesei
Keyword(s):  
Density Distribution ◽  
Large Scale ◽  
Super Resolution ◽  
Spatial Location ◽  
Relative Displacement ◽  
Distribution Analysis ◽  
Laboratory Equipment ◽  
Imaging Device ◽  
Distribution Maps ◽  
Super Resolution Microscopy

Subcellular spatial location is an essential descriptor of molecules biological function. Presently, super-resolution microscopy techniques enable quantification of subcellular objects distribution in fluorescence images, but they rely on instrumentation, tools and expertise not constituting a default for most of laboratories. We propose a method that allows resolving subcellular structures location by reinforcing each single pixel position with the information from surroundings. Although designed for entry-level laboratory equipment with common resolution powers, our method is independent from imaging device resolution, and thus can benefit also super-resolution microscopy. The approach permits to generate density distribution maps (DDMs) informative of both objects’ absolute location and self-relative displacement, thus practically reducing location uncertainty and increasing the accuracy of signal mapping. This work proves the capability of the DDMs to: (a) improve the informativeness of spatial distributions; (b) empower subcellular molecules distributions analysis; (c) extend their applicability beyond mere spatial object mapping. Finally, the possibility of enhancing or even disclosing latent distributions can concretely speed-up routine, large-scale and follow-up experiments, besides representing a benefit for all spatial distribution studies, independently of the image acquisition resolution. DDMaker, a Software endowed with a user-friendly Graphical User Interface (GUI), is also provided to support users in DDMs creation.

Prevalence and geographic distribution of haemophilia in Costa Rica

2010 ◽  
Vol 30 (S 01) ◽  
pp. S28-S31 ◽  
Author(s):  
J. Arroyo ◽  
L. Salazar-Sánchez ◽  
G. Jiménez-Cruz ◽  
P. Chaverri ◽  
E. Arrieta-Bolaños ◽  
...  
Keyword(s):  
Costa Rica ◽  
Survival Rates ◽  
Coagulation Factors ◽  
Developed Countries ◽  
Health Centers ◽  
Distribution Analysis ◽  
Distribution Maps ◽  
Immunodeficiency Virus ◽  
The Many ◽  
Low Prevalence

SummaryHaemophilia is the most frequent hereditary haemorrhagic illness and it is due to the deficiency of coagulation factors VIII (haemophilia A, HA) or IX (haemophilia B, HB).The prevalence of this disease varies according to the country, those having better survival rates having also higher prevalences. Specifically in Costa Rica, there are around 130 HA and 30 HB families. This study reports the prevalence and a spatial distribution analysis of both types of the disease in this country. The prevalence of haemophilia in this country is 7 cases per 100 000 men, for HA it is 6 cases per 100 000 and for HB it is 1 case per 100 000 male inhabitants. The prevalence of this disease is low when compared with other populations. This low prevalence could be due to the many patients that have died because of infection with human immunodeficiency virus during the 1980s. The prevalence of haemophilia in Costa Rica is almost one half of that present in developed countries. Nevertheless, the ratio between HA and HB follows world tendency: 5 : 1. In this study, nationwide geographical distribution maps were drawn in order to visualize the origin of severe cases and how this influences the pattern of distribution for both types of haemophilia. By means of these maps, it was possible to state that there is no association between the sites of maximum prevalence of mutated alleles and ethnicity. With this study, haemophilia prevalence distribution maps can be used to improve efforts for the establishment of hemophilia clinics or specialized health centers in those areas which hold the highest prevalences in this country. Also, this knowledge can be applied to improve treatment skills and offer the possibility of developing focused genetic counseling for these populations.

scholarly journals Effect of the protection measures established by the peruvian government to prevent the Coronavirus in the Barranca district during the second wave of infections [Efecto de las medidas de protección establecidas por el gobierno peruano para prevenir el Coronavirus en el distrito de Barranca durante la segunda ola de contagios]

2021 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Dante Cruz Nieto ◽  
Ronald Rodriguez Espinoza ◽  
Olga Valderrama Rios ◽  
Jorge López Balarezo ◽  
Ronald Ramos Pacheco ◽  
...  
Keyword(s):  
Data Collection ◽  
Analysis Of Variance ◽  
Visual Inspection ◽  
Correlation Coefficients ◽  
Appropriate Use ◽  
Ministry Of Health ◽  
Public Places ◽  
Protection Measures ◽  
The Government ◽  
Second Wave

The objective of the investigation is to establish the effect of the protection measures established by the government to reduce the contagion by Covid -19 in the district of Barranca during the second wave of infections. Data were collected on compliance with protection measures such as distancing, use of masks, visors and disinfection with alcohol in public places such as streets, markets, banks and parks. For this, data collection instruments based on visual inspection were used to verify the appropriate use of protection measures, as well as a survey regarding the use of alcohol as a disinfectant; and the data obtained was processed through basic statistics and correlation with the data reported by the Ministry of Health of positive infections by Covid-19. It was determined that there is a growth relationship between compliance with protection measures and the number of positive infections, with correlation coefficients for distance of 0.7458, use of 0.6710 masks, 0.8784 visors and use of alcohol as a disinfectant of 0.7310. Regarding the analysis of variance, it is obtained that the use of visors influences the number of positive infections, which is why it is concluded that maintaining distance, in addition to the use of masks and disinfectant alcohol are effective measures to control the number of infections per coronavirus.

Is the location of the signal intensity weighted centroid a reliable measurement of fluid displacement within the disc?

2018 ◽  
Vol 63 (4) ◽  
pp. 453-460 ◽  
Author(s):  
Vahid Abdollah ◽  
Eric C. Parent ◽  
Michele C. Battié
Keyword(s):  
Signal Intensity ◽  
Water Distribution ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Region Of Interest ◽  
Rater Reliability ◽  
Fluid Displacement ◽  
Intraclass Correlation Coefficients ◽  
The Mean ◽  
Standard Error Of Measurement

Abstract Degenerated discs have shorter T2-relaxation time and lower MR signal. The location of the signal-intensity-weighted-centroid reflects the water distribution within a region-of-interest (ROI). This study compared the reliability of the location of the signal-intensity-weighted-centroid to mean signal intensity and area measurements. L4-L5 and L5-S1 discs were measured on 43 mid-sagittal T2-weighted 3T MRI images in adults with back pain. One rater analysed images twice and another once, blinded to measurements. Discs were semi-automatically segmented into a whole disc, nucleus, anterior and posterior annulus. The coordinates of the signal-intensity-weighted-centroid for all regions demonstrated excellent intraclass-correlation-coefficients for intra- (0.99–1.00) and inter-rater reliability (0.97–1.00). The standard error of measurement for the Y-coordinates of the signal-intensity-weighted-centroid for all ROIs were 0 at both levels and 0 to 2.7 mm for X-coordinates. The mean signal intensity and area for the whole disc and nucleus presented excellent intra-rater reliability with intraclass-correlation-coefficients from 0.93 to 1.00, and 0.92 to 1.00 for inter-rater reliability. The mean signal intensity and area had lower reliability for annulus ROIs, with intra-rater intraclass-correlation-coefficient from 0.5 to 0.76 and inter-rater from 0.33 to 0.58. The location of the signal-intensity-weighted-centroid is a reliable biomarker for investigating the effects of disc interventions.

Electron Density Distribution Obtained from X-Ray Powder Data by the Maximum Entropy Method

1991 ◽  
Vol 35 (A) ◽  
pp. 77-83 ◽  
Author(s):  
Makoto Sakata ◽  
Masaki Takata ◽  
Yoshiki Kubota ◽  
Tatsuya Uno ◽  
Shintaro Kuhazawa ◽  
...  
Keyword(s):  
Density Distribution ◽  
Maximum Entropy ◽  
Electron Density ◽  
Diffraction Data ◽  
Electron Density Distribution ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Nuclear Density ◽  
X Ray ◽  
Distribution Maps

AbstractThe electron density distribution maps for CaF2 and TiO2 (rutile) were obtained from profile fitting of powder diffraction data by a Maximum Entropy Method (MEM) analysis. The resultant electron density maps show clearly the nature of the chemical bonding. In order to interpret the results, the nuclear density distribution was also obtained for rutile from powder neutron diffraction data. In the electron density map for rutile obtained by HEM analysis from the X-ray data, both apical and equatorial bonding can be seen. On the other hand, the nuclear density of rutile Is very simple and shows the thermal vibration of nuclei.

Heredity and Dermal Patterns in the Interdigital Areas of the Palm

1965 ◽  
Vol 14 (3) ◽  
pp. 295-304 ◽  
Author(s):  
Edward V. Glanville
Keyword(s):  
Relative Position ◽  
Monozygotic Twins ◽  
Correlation Coefficients ◽  
Appreciable Amount ◽  
Pedigree Data ◽  
Ridge Count ◽  
Hereditary Factors ◽  
Dominance Variation ◽  
Additive Genes

SUMMARYHereditary factors involved in the determination of the size, relative position and type of pattern formed by the dermal ridges in the interdigital areas of the palm have been investigated by means of twin and family studies. The sample consisted of 566 individuals of European descent. The ridge-counts of patterns in the interdigital areas were determined. Correction factors were introduced to compensate for different average counts in each interdigital area. The correlation coefficients between family relatives were calculated using the ridge-counts. The coefficient for monozygotic twins was .88±.04 and for parent and child from .346 to .425 and for sib pairs from .328 to .412. There was no evidence of sex-linkage or of the effects of dominance. Variation appeared to be determined by additive genes but an appreciable amount of variation of non-genetic origin was observed. Bilateral asymmetry in the ridge-count, type of pattern and relative position of the patterns was evident. Concordance rates in twins and other family members and pedigree data provided further evidence of hereditary influence in the determination of the position and type of pattern in the interdigital areas.

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