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Labview graphical software

Manufactured by National Instruments
Sourced in United States

LabVIEW is a graphical programming software developed by National Instruments. It is designed to create and deploy measurement and control systems. LabVIEW provides a platform for designing and executing test, measurement, and control applications.

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Lab products found in correlation

2 protocols using labview graphical software

1

Cerebrovascular Hemodynamics Assessment

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Digitized blood pressure and heart rate signals were analyzed with a custom program (MATLAB, The Mathworks, Natick, MA, USA) that performed R-peak detection of ECG, and peak and trough detection of the blood pressure waveform. Systemic mean arterial pressure (MAP) was calculated from the finger waveform as [systolic blood pressure + (2*diastolic blood pressure)]/3. Flow velocities of the middle cerebral artery were analyzed offline using a custom program written with LabVIEW graphical software (National Instruments, Austin TX, USA). Cerebral mean arterial pressure (cMAP) was estimated as the difference between systemic MAP and the hydrostatic pressure gradient calculated between the heart and the head (i.e., 17.8 mmHg). Mean cerebral blood flow velocity (mCBFv) was calculated from the integrated TCD signal over each cardiac cycle. The cerebrovascular conductance index was calculated as mCBFv/cMAP; cerebral autoregulatory function was estimated as the correlation coefficient between mCBFv and cMAP.
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2

Membrane Electrical Properties Characterization

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The values of membrane capacitance (C m ), membrane resistance (R m ), and access resistance (R a ) were calculated according to Lindau and Neher (1988) (link) and were monitored real-time using LabVIEW graphical software (National Instruments, Austin, TX). In the analysis, the current reversal potential was assumed to be 0 mV. Note that errors or changes in reversal potential do not cause appreciable error in the estimated values of C m and R a when R m ) R a (see Supplemental Material and Fig. S2A). In all experiments R m > 100 R a and in many cases R m > 1000 R a . To compare effects between cells, solvent-induced changes in passive electrical membrane parameters were normalized to values shortly prior to solvent application. Results are presented as mean AE standard error of the mean (SEM) of n independent experiments. Each cell was measured in a different culture dish and the different types of experiments were performed over periods generally including multiple culture passages. Statistical significance was assessed by a two-tailed Student's t-test, and by one-way ANOVA when determining concentration-dependence of the observed effects.
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