Coreldraw x8

Manufactured by Corel

Sourced in Canada, United States

CorelDRAW X8 is a vector graphics software application developed by Corel Corporation. It is designed for professional-level tasks such as illustration, page layout, photo editing, and graphic design.

Automatically generated - may contain errors

Lab products found in correlation

Matlab r2018a, by MathWorks (2 mentions) Spss software v28, by IBM (1 mentions) Spss software v24, by IBM (1 mentions) Prism v8, by GraphPad (1 mentions) Prism 8, by GraphPad (1 mentions) Sigmaplot 14, by Grafiti LLC (1 mentions) Sigmaplot 13, by Grafiti LLC (1 mentions) Leica tcs sp8, by Leica Microsystems (1 mentions) Leica tcs sp2, by Leica Microsystems (1 mentions) Prism 10, by GraphPad (1 mentions) Prism 5, by GraphPad (1 mentions) Spss statistics 23, by IBM (1 mentions) Tcs sp8 confocal laser scanning microscope, by Leica camera (1 mentions) Microsoft excel 2007, by IBM (1 mentions) Spss 25, by IBM (1 mentions) R version 4, by R Project for Statistical Computing (1 mentions)

35 protocols using coreldraw x8

Colocalization Analysis in Immunocytochemistry

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Colocalization in ICC samples was measured by using ImageJ software and Pierson’s Coefficient was calculated and detailed colocalization analysis were performed with the use of Coloc2 Plugin from Fiji (ImageJ software). Figures were composed with CorelDRAW X8 (Corel Corporation, Ottawa, Canada) or with Microsoft Power Point (Microsoft Corporation).
Statistical analysis was performed using Microsoft Excel (Microsoft Corporation) and GraphPad PRISM 5 (GraphPad Software, San Diego, CA, USA). Images were processed with ImageJ V1.41, NIH, USA and/or CorelDRAW X8 (Corel Corporation, Ottawa, Canada).
Statistical tests performed were Student’s-two-tailed t-test, one-way-Analysis of Variance (ANOVA) and repeated-measures ANOVA for grouped analysis, followed by Tukey’s post-hoc tests for multiple comparison.
Data were expressed as mean ± SEM and a 0.5% general significance level was defined, with significance levels as follows: *: p < 0.05; **: p < 0.01; ***: p < 0.001.

Masaracchia C., Hnida M., Gerhardt E., Lopes da Fonseca T., Villar-Pique A., Branco T., Stahlberg M.A., Dean C., Fernández C.O., Milosevic I, & Outeiro T.F. (2018). Membrane binding, internalization, and sorting of alpha-synuclein in the cell. Acta Neuropathologica Communications, 6, 79.

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Statistical Analysis of Conditioned Responses and Biochemical Data

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Data was expressed as mean ± SEM. Statistical differences between percentages of CRs were determined by repeated measures two-way ANOVA, followed by Tukey’s post-hoc analysis. Biochemical data were analyzed with three-way ANOVAs (using training, sessions, and hippocampal side as fixed factors), followed by Tukey’s post-hoc analysis. Statistical significance was set at p < 0.05. If the Levene’s test for normal distribution was significant then data were normalized by square root transformation (percentage of conditioned responses). All analyses were performed using the SPSS software v.28 (RRID:SCR_002865; IBM, US) and final figures were prepared using CorelDraw X8 Software (RRID:SCR_014235; Corel Corporation, Canada).

Navarro-López J.D., Contreras A., Touyarot K., Herrero A.I., Venero C., Cambon K., Gruart A., Delgado-García J.M., Sandi C, & Jiménez-Díaz L. (2022). Acquisition-dependent modulation of hippocampal neural cell adhesion molecules by associative motor learning. Frontiers in Neuroanatomy, 16, 1082701.

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Statistical Analysis of Biological Experiments

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Data was represented as the mean ± SEM and analyzed by three- or two-way ANOVA, followed by Tukey’s post-hoc analysis. When comparing only two groups, Student t test was used. Statistical significance was set at p < 0.05. All analyses were performed using SPSS software v.24 (RRID:SCR_002865; IBM, USA) and GraphPad Prism software v.8.3.1 (RRID:SCR_002798; Dotmatics, USA). Final figures were prepared using CorelDraw X8 Software (RRID:SCR_014235; Corel Corporation, Canada).

Jiménez-Herrera R., Contreras A., Djebari S., Mulero-Franco J., Iborra-Lázaro G., Jeremic D., Navarro-López J, & Jiménez-Díaz L. (2023). Systematic characterization of a non-transgenic Aβ1–42 amyloidosis model: synaptic plasticity and memory deficits in female and male mice. Biology of Sex Differences, 14, 59.

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Fabrication of Paper Microfluidic Devices

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All paper microfluidic devices used in the current work were fabricated on Whatman® qualitative filter paper (Grade 4, thickness 0.205 mm, Cytiva, India). All the paper-based devices used in this work were designed using the CorelDraw X8 software (Corel Corporation, Ottawa, Canada). The design was printed using a wax printer (ColorQube 8570, Xerox India Ltd., India).
The printed devices were kept on the hot plate at 120°C for 2 minutes to melt the wax so that it can percolate down to the other side of the paper and forms the hydrophobic barrier. The printed wax devices were then cut using a computer-controlled laser cutting and engraving machine (Model CMA 6040, GD Han's Yueming Laser Group Co., Ltd, China) or with simple scissors for further use. All the paper-based devices used in this work are used without any further modifications.

Anand A., Chatterjee B., Dhiman A., Goel R., Khan E., Malhotra A., Santra V., Salvi N., Khadilkar M.V., Bhatnagar I., Kumar A., Asthana A, & Sharma T.K. (2021). Complex target SELEX-based identification of DNA aptamers against Bungarus caeruleus venom for the detection of envenomation using a paper-based device. Biosensors & bioelectronics, 193.

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Optimizing Visualization with CorelDRAW and R

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Figure preparation: CorelDRAW x8 (Corel); Bioinformatic analyses: R v 4.0.3 (R Foundation for Statistical Computing).

Mikolajewicz N., Gacesa R., Aguilera-Uribe M., Brown K.R., Moffat J, & Han H. (2022). Multi-level cellular and functional annotation of single-cell transcriptomes using scPipeline. Communications Biology, 5, 1142.

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Image Analysis with CorelDRAW and ImageJ

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Figure preparation: CorelDRAW X8 (Corel, Ottawa, ON, Canada); Image analysis: ImageJ 1.52h (NIH, Bethesda, MD, USA); statistical analysis: MATLAB R2018a (MathWorks, Natick, MA, USA).

Mikolajewicz N, & Komarova S.V. (2020). Role of UDP-Sugar Receptor P2Y14 in Murine Osteoblasts. International Journal of Molecular Sciences, 21(8), 2747.

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Evaluation of Mandibular Molar Root Canal Curvature

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The study was approved by the Marmara University Health Sciences Ethics Committee (protocol no. 22-2016). Sixty extracted mandibular first molars without resorption, crack, fracture or restoration on the root surface were selected. All tissue remnants and debris on the root surface were removed with ultrasonic tips, and all of the crowns were removed. Radiological images were obtained with the paralleling technique in the buccolingual and mesiodistal plane. Radiographic images were transferred to the CorelDRAW X 8 (CorelDRAW Graphics Suite X 8-Corporate License, 2016, USA) program. According to Schneider's method (Schneider, 1971 (link)), the degree of curvature was calculated with the same software. The 60 mandibular first molars with mesial root canal curvatures greater than 25° were included.

Alim B.A, & Garip Berker Y. (2019). Evaluation of different root canal filling techniques in severely curved canals by micro-computed tomography. The Saudi Dental Journal, 32(4), 200-205.

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Statistical Analysis of Experimental Data

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For statistical analysis, GraphPad Prism v8 (Graphpad Software, San Diego, CA, USA) (Student’s t-test, Grubb’s outlier test, Kruskal–Wallis H-tests, Chi-squared test with Yates correction) and the Python v3.7 (Python Software Foundation, Beaverton, OR, USA) packages Matplotlib, Numpy, SciKit, Pandas, Requests, and Statsmodel were used as appropriate. The level of statistical significance was predefined at p < 0.05 for all statistical tests and corrected for multiple comparisons where appropriate.
For a graphical representation of the data, GraphPad Prism v8 and the Python 3.7 packages Seaborn, Matplotlib, Numpy, NetworkX, and Pandas were applied. Graphical post-processing was performed using CorelDraw X8 (Corel Corporation, Ottawa, ON, Canada).

Zeidler M., Hüttenhofer A., Kress M, & Kummer K.K. (2020). Intragenic MicroRNAs Autoregulate Their Host Genes in Both Direct and Indirect Ways—A Cross-Species Analysis. Cells, 9(1), 232.

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Phylogenetic Analysis of Nucleotide Sequences

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The best-fitting models for nucleotide substitution selected by jModelTest software^{43 (link)} using the Akaike information criterion was GTR + I + G. Phylogenies were reconstructed for each alignment under Bayesian inference (BI) using MrBayes v. 3.2^{44 (link)}. and Maximum Likelihood (ML) using PhyML^{45 (link)} with 1000 replicates. The BI was run using four Markov chain Monte Carlo searches with 10,000,000 generations and sampling tree topologies every 100 generations. The burning was set to the first 30% of generations; the consensus trees were estimated using the remaining topologies. The nodes with posterior probabilities and bootstrap values greater than 0.95/65 were considered valid. The final trees were edited using CorelDRAW X8. Pairwise genetic distances within and among sequences were calculated using the Kimura-2-parameter (K2P) model and a bootstrap procedure with 1000 replicates in Geneious 7.1.3^{38 (link)}.

Mirandola Dias Vieira D.H., Bravin Narciso R, & da Silva R.J. (2022). Diversity of myxozoans parasitizing the catfish Rhamdia quelen (Siluriformes: Heptapteridae), in southeastern Brazil, based on morphological and molecular evidence. Scientific Reports, 12, 17596.

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Multivariate Analysis of Molecular Fingerprints

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Principal component analysis (PCA) and multi-dimensional scaling (MDS) were used as alternative grouping methods, producing three-dimensional plots in which the entries were spread according to their relatedness. Dimensioning techniques were executed with AFLP data after conversion into a band matching table. Automated band matching was performed on all fingerprint entries within the comparison, considering minimum profiling of 5%, with the optimization and position tolerances for selecting bands set to 0.10%. Default settings were applied for PCA and MDS in BioNumerics v7.6, subtracting the average for characters [38 (link)]. All Figs were exported and treated using Corel Draw X8.

de Carvalho J.A., Hagen F., Fisher M.C., de Camargo Z.P, & Rodrigues A.M. (2020). Genome-wide mapping using new AFLP markers to explore intraspecific variation among pathogenic Sporothrix species. PLoS Neglected Tropical Diseases, 14(7), e0008330.

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