Matlab r2013b software

Manufactured by MathWorks

Sourced in United States

MATLAB R2013b is a high-level programming language and numerical computing environment developed by MathWorks. It is designed for technical computing and visualization, providing users with a broad range of tools for data analysis, algorithm development, and simulation.

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Lab products found in correlation

Full field laser perfusion imager, by Moor Instruments (1 mentions) R statistical analysis software, by R Project for Statistical Computing (1 mentions) Las af software, by Leica (1 mentions) Poly l lysine (pll), by BD (1 mentions) Six well polystyrene plate, by Corning (1 mentions) Glutaraldehyde, by Merck Group (1 mentions)

3 protocols using matlab r2013b software

Laser Speckle Imaging of Flap Perfusion

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Following inhalation anesthesia, laser speckle contrast imaging was performed prior to flap creation, and at 0 hours, 2, 5, and 10 days after surgery, with the Full-Field Laser Perfusion Imager (Moor Instruments, Axminster, UK) in low-resolution/high-speed setting at a display rate of 25 Hz, time constant of 0.3 s, and camera exposure time of 20 ms. Processing of the contrast images produced a scaled color-coded Live Flux image (red: high perfusion; blue: low perfusion) which correlated with the blood flow velocity in the tissue.15 (link)
Data were analyzed using Moor FLPI V3.0 PC Software (Moor Instruments). The flap was divided into cranial, central, and caudal regions of interest (ROIs) of equal-imaged surface area. Data from each ROI were exported to R Statistical Analysis software (R Foundation, Vienna, Austria). To characterize the baseline microvascular anatomy of lean and obese mice, perfusion data from the surgically created flap were selected and exported to Matlab R2013b software (Mathworks Inc., Natick, MA, USA). A three-dimensional surface plot was constructed from the matrix data with floor set to average preoperative perfusion to illustrate the flap changes relative to the unoperated state.13

Clark R.M., Coffman B., McGuire P.G, & Howdieshell T.R. (2016). Myocutaneous revascularization following graded ischemia in lean and obese mice. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 9, 325-336.

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Assessing Biofilm Formation Dynamics

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A semi-static biofilm model was used to assess biofilm formation of S1 and S2, as described before[43 (link)]. Overnight bacterial cultures were diluted to an OD660 of 0.01 in 6 ml LB medium with 1%(wt/vol) glucose and added to a coverslip coated with poly-L-lysine (0.45 μm; diameter, 12 mm; Becton Dickinson) inside a well from a six-well polystyrene plate (Corning Inc.). Biofilms were grown at 30°C for 48 hat 120 rpm. After 48 h, the coverslips were washed with 0.85% (wt/vol) NaCl and the biofilms were chemically fixed with 8% (vol/vol) glutaraldehyde (Merck) for 20 min. Subsequently, the biofilms were stained with 15 μg/ml propidium iodide (PI) in 0.85% (wt/vol) NaCl that was removed after 15 min. The coverslips were transferred to glass microscope slides and analyzed by a confocal laser scanning microscope (CLSM) (Leica SP5), equipped with an oil plan-Neofluar ×63/1.4 objective. PI was excited at 488 nm. Z stacks were taken with an interval of 0.42 μm. Pictures were analyzed with LAS AF software (Leica), and biofilm thickness and biomass were quantified using Comstat[44 (link)]/Matlab R2013b software (the MathWorks). The average thickness and biomass of the biofilms were measured at ten randomly chosen positions and statistical significance determined by unpaired two-tailed Student's t-test. Experiments were performed twice in duplicate.

van Mansfeld R., de Been M., Paganelli F., Yang L., Bonten M, & Willems R. (2016). Within-Host Evolution of the Dutch High-Prevalent Pseudomonas aeruginosa Clone ST406 during Chronic Colonization of a Patient with Cystic Fibrosis. PLoS ONE, 11(6), e0158106.

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Evaluating Exercise-Induced Changes in EEG and EMG

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Pearson correlation analysis was used to evaluate the linear relationships between normalized power of EEG and the AMHRR or RMS of EMG. The AMHRR was considered an indicator of heart load for the various exercise stages. Thus, we could observe EEG and EMG changes with different exercise loads. In addition, paired-sample t-tests were used to examine for significant within-group changes before and after exercise (stage 3 and rest 2) to determine the post-exercise recovery status. In this study, MATLAB R2013b software (Mathworks, Natick, MA, USA) was applied for data analysis. Figure 4 illustrates a summary of the analysis procedures of EEG, ECG and EMG used in this study.

Lin S.Y., Jao C.W., Wang P.S., Liou M., Wu J.L., Chun H., Tseng C.T, & Wu Y.T. (2021). Differences in Physiological Signals Due to Age and Exercise Habits of Subjects during Cycling Exercise. Sensors (Basel, Switzerland), 21(21), 7220.

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