Coreldraw 2019
CorelDRAW 2019 is a comprehensive vector graphics software suite that provides tools for creating and editing illustrations, layouts, and designs. It offers a range of features for working with vector graphics, including tools for drawing, painting, and typography.
Lab products found in correlation
22 protocols using coreldraw 2019
Tetraspanin Transmembrane Domain Analysis
Comprehensive Data Analysis Methods
Statistical Analysis of Heterologously Expressed CNG Channels
MEA-recorded raw data files were filtered employing a Butterworth 2nd order filter (MC-Rack, Multi-channel systems) to extract the µERG (field potentials: bandpass 0.01–100 Hz) and spikes (high pass 200 Hz). The filtered data were converted to *.hdf files by MC DataManager (v1.6.1.0, Multi Channel Systems, Reutlingen, Germany) for further data processing in MATLAB [39 (link)]. Shown traces data are the average of 30 MEA recording electrodes, per condition. n = 5 retinae were recorded per condition. Statistical significance was estimated by one-way ANOVA followed by the Dunnett´s test for multiple comparisons. Experimental data are given as mean ± SEM.
The a-wave slope was calculated as the quotient of the a-wave deflection in µV per 20 ms period (last 20 ms of the a-wave amplitude; between starting point of the a-wave (response latency) and the ending at the a-wave (peak time)).
Figures were prepared using CorelDraw® 2019 (Corel, Ottawa, ON, Canada) and Inkscape (inkscape.org, accessed on 1 February 2021).
Quantitative Analysis of Cellular Morphology
3D Reconstruction of Whole Embryos
Randomized Murine Microbiome Analysis
Comprehensive Data Analysis Protocol
Kaplan-Meier Survival Analysis Protocol
Data Extraction Protocol for Tumor Studies
When a control group shared more than one experiment group, we adjusted the numbers of animals in control group according to a practical guide on PROSPERO. When there was a lack of valid data in a study, review authors acquired the original data from the articles' author by E-mail or phone.
Mortality Prediction in Critical Care
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