Variation In Cell Size Research Articles

Molecular Simulation on the Thermal Stability of Meta-Aramid Insulation Paper Fiber at Transformer Operating Temperature.

The influence of the thermal field of a transformer during operation on the thermal stability of meta-aramid insulation paper was studied through molecular dynamics simulations. Models of the crystalline and amorphous regions of meta-aramid fibers were constructed using known parameters. The model of the crystalline area was verified by comparing X-ray diffraction results with experimental data. The reasonableness of the simulation results was judged by the variation of energy, temperature, density, and cell size in relation to the dynamic time. The molecular dynamics simulations revealed that the modulus values in the crystalline regions were two to three times higher than those in the amorphous regions at various temperatures. In addition, the incompressibility, rigidity, deformation resistance, plasticity, and toughness of the crystalline regions were obviously higher than those of amorphous regions, whereas the toughness of the amorphous regions was better than that of the crystalline regions. The mechanical parameters of both the crystalline and amorphous regions of meta-aramid fibers were affected by temperature, although the amorphous regions were more sensitive to temperature than the crystalline regions. The molecular chain motion in the crystalline regions of meta-aramid fibers increased slightly with temperature, whereas that of the amorphous regions was more sensitive to temperature. Analyzing hydrogen bonding revealed that long-term operation at high temperature may destroy the structure of the crystalline regions of meta-aramid fibers, degrading the performance of meta-aramid insulation paper. Therefore, increasing the crystallinity and lowering the transformer operating temperature may improve the thermal stability of meta-aramid insulation paper. However, it should be noted that increasing the crystallinity of insulation paper may lower its toughness. These study results lay a good foundation for further exploration of the ways to improve the performance of meta-aramid insulation paper.

Phenotypic Variability Correlates with Clinical Outcome in Cryptococcus Isolates Obtained from Botswanan HIV/AIDS Patients.

Pathogenic species of Cryptococcus cause hundreds of thousands of deaths annually. Considerable phenotypic variation is exhibited during infection, including increased capsule size, capsule shedding, giant cells (≥15 μm), and micro cells (≤1 μm). We examined 70 clinical isolates of Cryptococcus neoformans and Cryptococcus tetragattii from HIV/AIDS patients in Botswana to determine whether the capacity to produce morphological variants was associated with clinical parameters. Isolates were cultured under conditions designed to simulate in vivo stresses. Substantial variation was seen across morphological and clinical data. Giant cells were more common in C. tetragattii, while micro cells and shed capsule occurred in C. neoformans only. Phenotypic variables fell into two groups associated with differing symptoms. The production of "large" phenotypes (greater cell and capsule size and giant cells) was associated with higher CD4 count and was negatively correlated with intracranial pressure indicators, suggesting that these are induced in early stage infection. "Small" phenotypes (micro cells and shed capsule) were associated with lower CD4 counts, negatively correlated with meningeal inflammation indicators, and positively correlated with intracranial pressure indicators, suggesting that they are produced later during infection and may contribute to immune suppression and promote proliferation and dissemination. These trends persisted at the species level, indicating that they were not driven by association with particular Cryptococcus species. Isolates possessing giant cells, micro cells, and shed capsule were rare, but strikingly, they were associated with patient death (P = 0.0165). Our data indicate that pleomorphism is an important driver in Cryptococcus infection.IMPORTANCE Cryptococcosis results in hundreds of thousands of deaths annually, predominantly in sub-Saharan Africa. Cryptococcus is an encapsulated yeast, and during infection, cells have the capacity for substantial morphological changes, including capsule enlargement and shedding and variations in cell shape and size. In this study, we examined 70 Cryptococcus isolates causing meningitis in HIV/AIDS patients in Botswana in order to look for associations between phenotypic variation and clinical symptoms. Four variant phenotypes were seen across strains: giant cells of ≥15 µm, micro cells of ≤1 µm, shed extracellular capsule, and irregularly shaped cells. We found that "large" and "small" phenotypes were associated with differing disease symptoms, indicating that their production may be important during the disease process. Overall, our study indicates that Cryptococcus strains that can switch on cell types under different situations may be more able to sustain infection and resist the host response.

The influence of spatial limits on the modeling chemical reactivity: The example of CO2 hydration in MeX zeolites (Me = K, Rb, Cs)

AbstractZeolite cell size variations upon cationic exchange are frequently disregarded while calculating chemical reactions with rather bulky reagents. An example of the reaction between the small reagents (H2O and CO2) illustrates a necessity to check this assumption for faujasite (FAU) zeolites with large porous space. The interplay of the space for the reaction center and the mobility of alkali cations forces lattice parameters to play a crucial role for the accurate computation of activation barrier of CO2 hydration. While the CO2 hydration is modeled in the MeX forms (Me = Rb, or Cs) with a fixed volume of NaX one, barrierless reactions were predicted that is not confirmed by experimental data. When the RbX and CsX cell parameters were optimized with Vienna Ab‐initio Simulation Package (VASP), activation energies were obtained in agreement with the experimental data that CO2 hydration in CsX occurs at room temperature.

Evaluation of the prognostic utility of the hemoglobin-to-red cell distribution width ratio in head and neck cancer.

Hemoglobin is a known prognostic marker in many cancers, including head and neck cancer (HNC). There is some evidence that the red cell distribution width, which is an index of variation in size of red blood cells (RBCs), might be associated with prognosis as well. Recently, a novel prognostic biomarker has been reported-the ratio of the hemoglobin-to-red cell distribution width (Hb/RDW). Our objective was to evaluate the prognostic utility of the pretreatment Hb/RDW in HNC, controlled with known prognostic indices. Retrospective cohort study in a tertiary academic hospital setting. Patients diagnosed with HNC treated with curative-intent surgery were eligible. Metastatic disease was excluded. The variables collected were age, sex, BMI, alcohol/tobacco exposure, performance scores, ACE-27, tumor characteristics, adjuvant treatment, and lab values. The primary endpoints were event-free survival (EFS) and overall survival (OS). OS was defined as time from start of treatment to death from any cause, and EFS was defined as time from start of treatment to any progression, recurrence, or death from any cause. Univariate and multivariate survival analysis was performed on the primary endpoints. A total of 205 patients were enrolled from 2010 to 2016. In multivariate analysis, the factors independently associated with EFS were BMI (p = 0.0364), advanced T stage (p = 0.001), and low Hb/RDW ratio (p = 0.017). The factors independently associated with OS were ECOG score (p = 0.042), advanced T stage (p < 0.0001), positive nodes (p = 0.0195), and Hemoglobin (0.0134). A low Hb/RDW ratio was associated with poorer EFS (HR = 2.02, 95% CI 1.13-3.61, p = 0.017), but was not associated with OS. This is the first study reporting the prognostic utility of Hb:RDW in head and neck cancer.

Antioxidant effects of vitamin D on lacrimal glands against high dose radioiodine-associated damage in an animal model

Purpose To evaluate antioxidant effects of active vitamin D (calcitriol) against high-dose radioiodine (RAI) therapy-associated damage of lacrimal gland. Materials and methods Wistar albino rats were used and divided into three groups randomly (n = 12/group). The first group was appointed as the negative control group and received no RAI or medication. The second group was appointed as the positive control group that only received 3 mCi/kg (111 MBq/kg) RAI via gastric gavage and the last group was the treatment group that received 3 mCi/kg RAI via same method and calcitriol (200 ng/kg/day) via intraperitoneal administration. Seven days after RAI administration, bilateral intraorbital (IG), extraorbital (EG) and Harderian (HG) glands were removed for the evaluations of histopathologic, tissue cytokine, total oxidant status (TOS) and total antioxidant status (TAS). Results RAI led to significant increase in tissue TOS, TNF-α, IL-6 levels and significant decrease in IL-10 and TAS levels (p < 0.05 for each). Addition of adjunctive calcitriol reversed all these parameters significantly (p < 0.05 for each).The following histopathologic parameters were seen more frequently in positive control group than the other groups: Abnormal lobular pattern, perivascular infiltration, periductal infiltration, lipofuscin-like accumulation, acinar atrophy, periductal and periacinar fibrosis in all lacrimal gland types (p < 0.05), acinar fibrosis in EG (p = 0.049), periductal fibrosis in EG and HG (p = 0.049 and 0.038, respectively), abnormal cell outlines in EG and HG (p = 0.020 and 0.011, respectively) and variation in cell size in the IG and the HG (p = 0.003 and 0.049 respectively). Conclusions RAI caused significant oxidative stress and inflammation in lacrimal glands. Vitamin D demonstrated potent anti-inflammatory, antioxidant and radio-protective effects on lacrimal glands in histopathologic, tissue cytokine and oxidant/antioxidant level evaluations.

Effect of dexamethasone intravitreal implant (Ozurdex\xae) on corneal endothelium in retinal vein occlusion patients

BackgroundTo assess corneal endothelial cell changes after intravitreal dexamethasone (DEX) implant (Ozurdex®) injection in patients with macular edema secondary to retinal vein occlusion (RVO).MethodsTwenty-two eyes of 22 patients were assessed prospectively after intravitreal 0.7 mg DEX implant injection. Twenty-two eyes of 22 healthy volunteers served as control group. Corneal endothelial cell parameters including endothelial cell density (ECD), coefficient of variation of cell size (CV), percentage of hexagonality (Hex) and central corneal thickness (CCT) were analyzed before and 1 and 3 months after injection by specular microscopy. The results of the study were compared statistically.ResultsThere were 17 (77.3%) patients with branch RVO and 5 (22.7%) patients with central RVO. Mean intraocular pressure (IOP) was 14.73 mmHg before injection, 17.05 mmHg at 1 month and 17.15 mmHg at 3 months after injection. Mean IOP at 1 and 3 months were significantly higher than pre-injection value (p = 0.002 and p = 0.003, respectively). There was a statistically significant reduction in mean ECD at 3 months after injection compared to pre-injection and 1 month (p = 0.013, p = 0.009, respectively) in the injected eyes. Mean ECD showed no significant difference in the uninjected fellow eyes during the follow up (p>0.05). Mean CV and Hex did not reveal a statistically significant difference in injected and uninjected fellow eyes (p > 0.05). No significant change was observed in mean CCT values during the follow up (p = 0.8).ConclusionIntravitreal dexamethasone implant may cause a transient reduction in corneal endothelial cell density in short term without changing cell morphology.

Assessment of Charged AuNPs: From Synthesis to Innate Immune Recognition

Gold nanoparticle (AuNP) physicochemical characteristics, mainly size and charge, modulate their biodistribution, cytotoxicity, and immunorecognition as reported fromin vitroandin vivostudies. While data fromin vitrostudies could be biased by several factors including activation of cells upon isolation and lack of sera proteins in the microenvironment of primary generated cell lines,in vivostudies are costly and time-consuming and require ethics consideration. In this study, we developed a simple and novelin vivo-like method to test for NP immunorecognition from freshly withdrawn human blood samples. AuNPs with a size range of 30 ± 5 nm coated with cationic poly(L-lysine) (PLL) dendrigraft and slightly negative poly(vinyl alcohol) (PVA) were synthesized in water. PLL-capped AuNPs were further coated with poly(ethylene glycol) (PEG) to obtain nearly neutrally charged PEG-AuNPs. Physicochemical properties were determined using zeta potential measurements, UV-Vis spectroscopy, dynamic light scattering (DLS), and scanning electron microscopy (SEM). Gel electrophoretic separation, zeta potential, and DLS were also used to characterize our NPs after human blood plasma treatment. PLL-AuNPs showed similar variation in charge and binding affinity to plasma proteins in comparison with PVA-AuNPs. However, PLL-AuNPs.protein complexes revealed a drastic change in size compared to the other tested particles. Results obtained from the neutrophil function test and pyridine formazan extraction revealed the highest activation level of neutrophils (~70%) by 50 μg/mL of PLL-AuNPs compared to a null induction by PEG- and PVA-AuNPs. This observation was further verified by flow cytometry analysis of polymorphonuclear cell size variation in the presence of coated AuNPs. Overall, ourin vivo-like method, to test for NP immunorecognition, proved to be reliable and effective. Finally, our data supports the use of PEG-AuNPs as promising vehicles for drug delivery, as they exhibit minimal protein adsorption affinity and insignificant charge and size variation once introduced in whole blood.

Red cell distribution width as a prognostic marker in mechanically ventilated children admitted in pediatric critical care unit of tertiary care centre, India

Background: Paediatric population is a vulnerable group necessitating standard care for medically and surgically ill children. Red cell distribution width (RDW) is a simple and low-cost measure that denotes the variability in red blood cell size. Any process that releases reticulocytes in the circulation will result in an increase in RDW. RDW may also be useful as a biomarker of disease severity and clinical outcomes in critically ill patients. Methods: Retrospective cohort study of all patients between 1month-12yrs of age, mechanically ventilated in Paediatric intensive care unit. Those patients with RDW on admission and complete data for PIM3 (Paediatric Index of Mortality 3) were included. Analyses included correlation, logistic regression analysis, and receiver operating characteristic (ROC) curves.Results: Retrospective analysis of data on 93 consecutive critically ill children admitted in PICU was done between Jan 2015- June 2016. We noted statistically significant correlation between mortality and anemia (10.24 g/dL, SD 2.26; 8.78 g/dL, SD 2.60.p = 0.009), LOS on MV (p = 0.008), RDW (p = 0.002), shock (p = 0.004) and ventilator associated Pneumonia (p = 0.024). Mortality increased as length of stay on mechanical ventilation increased (4.13 days, SD 2.125 versus 6.94 days, SD 7.603 p = 0.008). The cut-off of 18.10 was chosen as Mean RDW. Based on AUROC, RDW is independently associated with high risk of mortality.Conclusions: RDW measured within 24 hours of PICU admission was independently associated with length of stay on mechanical ventilation and mortality in a general PICU population. We recommend the need for multicentric, prospective longitudinal studies to determine the optimum utility of RDW to enhance decision making in PICU.

Relationship of Red Cell Distribution Width to Adverse Outcomes in Adults With Congenital Heart Disease (from the Boston Adult Congenital Heart Biobank)

Red cell distribution width (RDW), a measure of variability in red cell size, predicts adverse outcomes in acquired causes of heart failure. We examined the relation of RDW and outcomes in adults with congenital heart disease. We performed a prospective cohort study on 696 ambulatory patients ≥18years old enrolled in the Boston Adult Congenital Heart Disease Biobank between 2012 and 2016 (mean age 38.7 ± 13.5 years; 49.9% women). The combined outcome was all-cause mortality or nonelective cardiovascular hospitalization. Most patients had moderately or severely complex congenital heart disease (42.5% and 38.5%, respectively). Mean RDW was 14.0 ± 1.3%. RDW >15% was present in 81 patients (11.6%). After median 767days of follow-up, 115 patients sustained the primary combined outcome, including 31 who died. Higher RDW predicted both the combined outcome (hazard ratio [HR] for RDW >15% = 4.5, 95% confidence interval [CI] 3.0 to 6.6; HR per + 1SD RDW = 1.8, 95% CI 1.6 to 2.0, both p <0.0001) and death alone (HR for RDW >15% = 7.1, 95% CI 3.5 to 14.4; HR per + 1SD RDW = 1.8, 95% CI 1.6 to 2.0, both p <0.0001). RDW remained an independent predictor of the combined outcome after adjusting for age, cyanosis, congenital heart disease complexity, ventricular systolic function, New York Heart Association functional class, hemoglobin concentration, mean corpuscular volume, high-sensitivity C-reactive protein and estimated glomerular filtration rate (HR per + 1SD RDW = 1.5, 95% CI 1.2 to 1.9, p <0.0001). RDW also remained an independent predictor of mortality alone after adjustment for age plus each variable individually. In conclusion, elevated RDW is an independent predictor of all-cause mortality or nonelective cardiovascular hospitalization in adults with congenital heart disease. This simple clinical biomarker identifies increased risk for adverse events even among patients with preserved functional status.

Analysis of the light intensity dependence of the growth of Synechocystis and of the light distribution in a photobioreactor energized by 635 nm light.

Synechocystis gathered momentum in modelling studies and biotechnological applications owing to multiple factors like fast growth, ability to fix carbon dioxide into valuable products, and the relative ease of genetic manipulation. Synechocystis physiology and metabolism, and consequently, the productivity of Synechocystis-based photobioreactors (PBRs), are heavily light modulated. Here, we set up a turbidostat-controlled lab-scale cultivation system in order to study the influence of varying orange–red light intensities on Synechocystis growth characteristics and photosynthetic activity. Synechocystis growth and photosynthetic activity were found to raise as supplied light intensity increased up to 500 μmol photons m−2 s−1 and to enter the photoinhibition state only at 800 μmol photons m−2 s−1. Interestingly, reverting the light to a non-photo-inhibiting intensity unveiled Synechocystis to be able to promptly recover. Furthermore, our characterization displayed a clear correlation between variations in growth rate and cell size, extending a phenomenon previously observed in other cyanobacteria. Further, we applied a modelling approach to simulate the effects produced by varying the incident light intensity on its local distribution within the PBR vessel. Our model simulations suggested that the photosynthetic activity of Synechocystis could be enhanced by finely regulating the intensity of the light incident on the PBR in order to prevent cells from experiencing light-induced stress and induce their exploitation of areas of different local light intensity formed in the vessel. In the latter case, the heterogeneous distribution of the local light intensity would allow Synechocystis for an optimized usage of light.

You Do Not Mess with the Glia

Vertebrate neurons are enormously variable in morphology and distribution. While different glial cell types do exist, they are much less diverse than neurons. Over the last decade, we have conducted quantitative studies of the absolute numbers, densities, and proportions at which non-neuronal cells occur in relation to neurons. These studies have advanced the notion that glial cells are much more constrained than neurons in how much they can vary in both development and evolution. Recent evidence from studies on gene expression profiles that characterize glial cells—in the context of progressive epigenetic changes in chromatin during morphogenesis—supports the notion of constrained variation of glial cells in development and evolution, and points to the possibility that this constraint is related to the late differentiation of the various glial cell types. Whether restricted variation is a biological given (a simple consequence of late glial cell differentiation) or a physiological constraint (because, well, you do not mess with the glia without consequences that compromise brain function to the point of rendering those changes unviable), we predict that the restricted variation in size and distribution of glial cells has important consequences for neural tissue function that is aligned with their many fundamental roles being uncovered.

Reprint of Multiscale model approaches to the design of advanced permanent magnets

We describe the process of multiscale modelling of magnetic materials, based on atomistic models coupled parametrically to micromagnetic calculations. At the atomistic lengthscale we use Spin Dynamics (SD) to study switching mechanisms, using structures predicted by Molecular Dynamics. The process is completed using SD to calculate the cell size and temperature dependent parameters for micromagnetic calculations. We demonstrate an unusually weak cell size scaling for Nd2Fe14B and demonstrate numerically the existence of atomic scale Barkhausen jumps during magnetization switching. Scaling of magnetic properties is shown to be important in micromagnetic calculations of hysteresis, especially considering variation in micromagnetic cell size.

Geometric compensation applied to image analysis of cell populations with morphological variability: a new role for a classical concept

Immunofluorescence is the gold standard technique to determine the level and spatial distribution of fluorescent-tagged molecules. However, quantitative analysis of fluorescence microscopy images faces crucial challenges such as morphologic variability within cells. In this work, we developed an analytical strategy to deal with cell shape and size variability that is based on an elastic geometric alignment algorithm. Firstly, synthetic images mimicking cell populations with morphological variability were used to test and optimize the algorithm, under controlled conditions. We have computed expression profiles specifically assessing cell-cell interactions (IN profiles) and profiles focusing on the distribution of a marker throughout the intracellular space of single cells (RD profiles). To experimentally validate our analytical pipeline, we have used real images of cell cultures stained for E-cadherin, tubulin and a mitochondria dye, selected as prototypes of membrane, cytoplasmic and organelle-specific markers. The results demonstrated that our algorithm is able to generate a detailed quantitative report and a faithful representation of a large panel of molecules, distributed in distinct cellular compartments, independently of cell’s morphological features. This is a simple end-user method that can be widely explored in research and diagnostic labs to unravel protein regulation mechanisms or identify protein expression patterns associated with disease.

Analysis of Cell Size Homeostasis at the Single-Cell and Population Level

Growth pervades all areas of life from single cells to cell populations to tissues. However, cell size often fluctuates significantly from cell to cell and from generation to generation. Here we present a unified framework to predict the statistics of cell size variations within a lineage tree of a proliferating population. We analytically characterise (i) the distributions of cell size snapshots, (ii) the distribution within a population tree, and (iii) the distribution of lineages across the tree. Surprisingly, these size distributions differ significantly from observing single cells in isolation. In populations, cells seemingly grow to different sizes, typically exhibit less cell-to-cell variability and often display qualitatively different sensitivities to cell cycle noise and division errors. We demonstrate the key findings using recent single-cell data and elaborate on the implications for the ability of cells to maintain a narrow size distribution and the emergence of different power laws in these distributions.

Commonly available hematological biomarkers are associated with the extent of coronary calcifications

Background and aimsWe aimed to improve the understanding of potential associations between commonly available hematological biomarkers and the coronary artery calcification (CAC) score, which may help unravel the pathophysiology of coronary calcifications and subclinical coronary artery disease. MethodsA cross-sectional study was performed within the Utrecht Patient Oriented Database (UPOD). Patients with suspected or known coronary artery disease who underwent CT CAC scoring as well as standard hematology analysis that was part of routine clinical care (within 3 months of CT acquisition) were included. Complete hematology datasets were extracted from hematology analyzers. Linear regression adjusted for potential confounders was used to assess if hematological biomarkers were related to the CAC score. ResultsIn total, 1504 patients were included, of whom 43% (n = 647) had a CAC score of 0. Mean age (±SD) was 53 ± 13 years, and 34% of patients were women. Red blood cell distribution width (RDW, β = 0.20 [0.05–0.36], p=0.007), the fraction of immature reticulocytes (β = 0.97 [0.10–6.43], p=0.004), coefficient of variation of neutrophil lobularity (β = 0.13 [0.01–0.25], p=0.040) and mean lymphocyte cell size (β = 0.21 [0.08–0.34], p=0.001) were positively associated with the CAC score after adjustment for age, sex, body mass index (BMI), diabetes, glomerular filtration rate (GFR) and high-density lipoprotein (HDL). ConclusionsThis study confirms the known association of RDW with the CAC score, and presents the fraction of immature reticulocytes, coefficient of variation of neutrophil lobularity, and mean lymphocyte cell size as new markers associated with a higher CAC score.

A light and scanning electron microscopic diagnosis of leaf epidermal morphology and its systematic implications in Dryopteridaceae: Investigating 12 Pakistani taxa

Dryopteris and Polystichum are the 2 complex taxonomic genera of Dryopteridaceae. The comparative foliar epidermal anatomy of 12 species of both genera from Pakistan were studied using standard protocols of light microscopy (LM) and scanning electron microscopy (SEM). The objective of which was systematic comparison and investigation to elucidate the taxonomic importance of foliar micromorphology, which may be useful to taxonomists for identifying complex Dryopteridaceae taxa. Principal component analysis and UPGMA clustering analysis were performed to test the validity of leaf anatomical features as method of separating species and genera. The foliar epidermal anatomy described here is a good source of taxonomic characters in both groups that can help genera and species delimitation. This is the first report on leaf micromorphology in most of these species. Observation of foliar anatomy showed that stomata are only present on the abaxial surface; i.e., leaves of all species are hypostomatic. The shapes of epidermal cells in all studied species are irregular. The anticlinal walls are strongly lobed, irregular wavy and elongated wavy. However, substantial variation in epidermal cell size and other stomatal features were observed on both upper and lower surfaces in all investigated species. Two types of stomata were observed in all studied species. The presence of polocytic stomata in Dryopteris and staurocytic stomata in Polystichum are the important characters for the segregation of these genera. Elongate elliptic stomatal shape, narrow kidney shaped guard cells and broad elliptic shaped stomatal pores are diagnostic for all five species of Dryopteris selected. On the other hand, size and number of epidermal cells, lobes per cell, stomatal size, subsidiary cell size, stomatal pore size and stomatal index are the key features for species differentiation in Polystichum. An identification key was developed in order to apply the foliar anatomical characters in the discrimination of the species studied.

Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images.

Corneal endothelium images obtained by in vivo specular microscopy provide important information to assess the health status of the cornea. Estimation of clinical parameters, such as cell density, polymegethism, and pleomorphism, requires accurate cell segmentation. State-of-the-art techniques to automatically segment the endothelium are error-prone when applied to images with low contrast and/or large variation in cell size. Here, we propose an automatic method to segment the endothelium. Starting with an oversegmented image comprised of superpixels obtained from a stochastic watershed segmentation, the proposed method uses intensity and shape information of the superpixels to identify and merge those that constitute a cell, using support vector machines. We evaluated the automatic segmentation on a data set of in vivo specular microscopy images (Topcon SP-1P), obtaining 95.8% correctly merged cells and 2.0% undersegmented cells. We also evaluated the parameter estimation against the results of the vendor's built-in software, obtaining a statistically significant better precision in all parameters and a similar or better accuracy. The parameter estimation was also evaluated on three other data sets from different imaging modalities (confocal microscopy, phase-contrast microscopy, and fluorescence confocal microscopy) and tissue types (ex vivo corneal endothelium and retinal pigment epithelium). In comparison with the estimates of the data sets' authors, we achieved statistically significant better accuracy and precision in all parameters except pleomorphism, where a similar accuracy and precision were obtained.

Aneuploid CTC and CEC.

Conventional circulating tumor cell (CTC) detection technologies are restricted to large tumor cells (> white blood cells (WBCs)), or those unique carcinoma cells with double positive expression of surface epithelial cell adhesion molecule (EpCAM) for isolation, and intracellular structural protein cytokeratins (CKs) for identification. With respect to detecting the full spectrum of highly heterogeneous circulating rare cells (CRCs), including CTCs and circulating endothelial cells (CECs), it is imperative to develop a strategy systematically coordinating all tri-elements of nucleic acids, biomarker proteins, and cellular morphology, to effectively enrich and comprehensively identify CRCs. Accordingly, a novel strategy integrating subtraction enrichment and immunostaining-fluorescence in situ hybridization (SE-iFISH), independent of cell size variation and free of hypotonic damage as well as anti-EpCAM perturbing, has been demonstrated to enable in situ phenotyping multi-protein expression, karyotyping chromosome aneuploidy, and detecting cytogenetic rearrangements of the ALK gene in non-hematologic CRCs. Symbolic non-synonymous single nucleotide variants (SNVs) of both the TP53 gene (P33R) in each single aneuploid CTCs, and the cyclin-dependent kinase inhibitor 2A (CDKN2A) tumor suppressor gene in each examined aneuploid CECs, were identified for the first time across patients with diverse carcinomas. Comprehensive co-detecting observable aneuploid CTCs and CECs by SE-iFISH, along with applicable genomic and/or proteomic single cell molecular profiling, are anticipated to facilitate elucidating how those disparate categories of aneuploid CTCs and CECs cross-talk and functionally interplay with tumor angiogenesis, therapeutic drug resistance, tumor progression, and cancer metastasis.

Red blood cell distribution width to estimate lupus activity

Objective The aim of the study was to study red blood cell distribution width (RDW) in systemic lupus erythematous (SLE) patients as a lupus activity marker. Background SLE is a multifactorial systemic autoimmune disease that can affect multiple organs. The general pathogenesis of this disease still needs a better understanding. RDW is a measure of the red blood cell size variation. Patient and methods This prospective study was carried in the Internal Medicine Department, Menoufia University Hospital, from March 2016 to August 2016. Our study included 58 patients with SLE activity, which was measured using the Systemic Lupus Erythematous Disease Activity Index. RDW was measured as one of the parameters of complete blood count. RDW was reported on the Sysmex XT. In this study we excluded any other causes of anemia and other connective tissue diseases. Results The study included 58 SLE patients: 20 systemic lupus patients with high activity and 38 systemic lupus patients with very high activity. RDW was higher in systemic lupus patients with very high activity than in systemic lupus patients with high activity. There was a highly significant correlation between RDW and Systemic Lupus Erythematous Disease Activity Index. There was a highly significant correlation between RDW and erythrocyte sedimentation rate. Conclusion There was statistically higher RDW in lupus patients with very high activity than in those with high activity; therefore, RDW can be used as a lupus activity marker. RDW was associated with the inflammatory process of SLE.

Multiscale model approaches to the design of advanced permanent magnets

We describe the process of multiscale modelling of magnetic materials, based on atomistic models coupled parametrically to micromagnetic calculations. At the atomistic lengthscale we use Spin Dynamics (SD) to study switching mechanisms, using structures predicted by Molecular Dynamics. The process is completed using SD to calculate the cell size and temperature dependent parameters for micromagnetic calculations. We demonstrate an unusually strong cell size scaling for Nd2Fe14B, and demonstrate numerically the existence of atomic scale Barkhausen jumps during magnetization switching. Scaling of magnetic properties is shown to be important in micromagnetic calculations of hysteresis, especially considering variation in micromagnetic cell size.