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Labview 2013

Manufactured by National Instruments
Sourced in United States

LabVIEW 2013 is a graphical programming environment used for designing and implementing measurement and control systems. It provides a platform for developing applications that interact with real-world data or signals, acquire, process, and analyze data, and control instruments. LabVIEW 2013 offers tools for creating virtual instruments, automating tasks, and developing custom solutions for various industries and applications.

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24 protocols using labview 2013

1

Simultaneous Recording of Incising Behavior

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The data acquisition procedures for this study have already been described in a previous publication [10 (link)]. Briefly, audio, video and incising force recordings were simultaneously acquired from four cages during a 24 hr period. Video recordings provided an assessment of behavior that could be correlated to the recordings of incising forces. Incising forces were assessed in three dimensions using a multi-axis force transducer (NANO17-E, ATI Industrial Automation) and the transducer was attached to three pieces of standard mouse chow (Harlan Laboratories). Mice had access to the chow through the wire top of the cage in the area of the chow bin (Fig. 1). Custom-written software (LabView 2013, National Instruments, Inc.) detected episodes of incising forces after the analog signal was digitized using an A/D converter at a 500 Hz acquisition rate converter (PCIe-6343 X Series Multifunction DAQ, National Instruments, Inc.). Episodes of incising forces were recorded when the resultant of the X, Y and Z forces exceeded a pre-determined threshold and continued until no force peaks were detected for more than 4 sec. The digital force recordings for each axis (X, Y and Z) were post-processed to remove DC bias and to digitally filter the recordings (bandwidth 0–31.25 Hz) using custom written software (LabView 2013, National Instruments, Inc.).
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2

Multimodal Cardiovascular Monitoring Protocol

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Continuous blood pressure was collected via non-invasive Portapres (FMS, Amsterdam, The Netherlands). SCG was collected by a unidirectional accelerometer in the dorso-ventral direction positioned on the xiphoid process of each subject. The SCG measured the vibrations of the heart as a resultant beat against the chest wall during each cardiac cycle. Electrocardiogram (ECG) was collected using three lead ECG positioned in a Lead II configuration (FD-13, Fukuda Denshi Co. Ltd, Tokyo, Japan). Experimental setup shown in HDT schematic (Fig. 1). A sampling rate of 1,000 Hz was used for data gathering through National Instruments USB-6218 16-bit data acquisition system and using LabVIEW 2013 software (National Instruments Inc, TX, USA).HDT schematic of sensor placement.

SCG (yellow rectangle) placed on the xiphoid process. Blood pressure measured at the finger (orange rectangle). ECG Lead II shown RA lead (gray circle) on right clavicle, RL lead (dark blue circle) on lower right rib cage and LL (light blue circle) on lower left rib cage.

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3

Multimodal Cardiovascular and Neuromuscular Monitoring

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An electrocardiogram (ECG) was recorded with a bipolar three-lead ECG (IX-BIO4, iWorx, United States) in a standard Lead II electrode configuration. The non-invasive Portapres (FMS, Amsterdam, Netherlands) was used to monitor continuous BP at the finger, with absolute BP height-corrected to the heart level. Surface EMG was recorded transdermally from four bilateral lower leg muscles, including the tibialis anterior, lateral soleus, and medial and lateral gastrocnemius, using the Bagnoli-8 (Delsys Inc., MA, United States) EMG system. The SENIAM project’s (Hermens et al., 1999 ) suggestions were used to select the locations for EMG sensor placement. Data were collected at 1,000 Hz using a National Instruments USB-6218 16-bit data capture equipment and LabVIEW 2013 software (National Instruments Inc., TX, United States).
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4

Continuous Blood Pressure Monitoring Device

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The custom hardware device was placed over the skin of the sixth left costal cartilage. The device was attached to the skin using double-sided medical tape (1522, 3 M, Maplewood, MN, US) and fixed in place using a medical tape (Hypafix; BSN Medical, Hamburg, Germany). A continuous BP monitor based on the volume clamp method (Finometer; Finapres Medical Systems, Enschede, Netherlands) was used as a reference. The cuff from the reference device was worn around the right index finger, and it was calibrated with each new measurement using the auscultation method. The data from the reference device were collected using a commercial ADC (NI USB-6009; National Instruments, Austin, TX, USA) at 250 Hz and then synchronized with the data from the developed device in a custom data acquisition program (LabView 2013; National Instruments, Austin, TX, USA).
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5

Biomechanical Characterization of Engineered Muscle Constructs

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Prior to implantation, biomechanical testing was conducted on individual SMUs approximately 24 hours after their spontaneous delamination into 3D constructs. The protocol for measuring contractility of engineered muscle constructs has been described previously [5 (link), 14 (link), 15 (link)]. Briefly, the pin on one end of the construct was released from the Sylgard substrate and attached to an optical force transducer with canning wax. For field stimulation of the entire construct, platinum wire electrodes were placed longitudinally along each side of the SMU. The temperature was maintained at 37°C throughout the duration of testing using a heated aluminum platform. Passive baseline force was measured as the average baseline passive force preceding the onset of stimulation. Maximum tetanic force was determined using a 1s train of 5ms pulses at 90 mA and 10, 20, 40, 60, and 80 Hz. Data for each peak tetanic force was recorded and subsequently analyzed using a custom program written on LabVIEW 2013 (National Instruments, Austin, TX).
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6

Automated Worm Tracking System

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A graphical user interface (GUI) was created in LabVIEW 2013 (National Instruments, Austin, TX). The GUI allows the user to select the number of lanes to track, the duration to track each worm for during an imaging cycle and the total experiment time. After setting the initial parameters, user interaction was no longer required. The developed LabVIEW virtual instrument was also used to interface the microscope control dynamic link library (dll) with the rest of the imaging program.
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7

Automated Tracking of Single Vesicle Particles

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Tyrant is a custom-developed software written in LabVIEW 2013 (National Instruments, Austin, TX, USA); this software analyses the trajectory of the center position of a SVP from the captured fluorescent images. To obtain the one-dimensional displacement of the SVP, all captured images were rotated so that the moving direction of SVP was parallel to the x-axis in the images. First, noise in a fluorescent image was removed using a 3 Â 3 median filter. Next, the fluorescent spot of a SVP in the filtered image was cropped by an appropriately sized box (red boxes in Fig. 2(b)). The fluorescent intensity of the spot in the cropped image was fitted with a two-dimensional Gaussian function to calculate the center position of the spot. This procedure was repeated for each selected SVP for a specified time interval.
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8

Laser-Evoked Motor Responses

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Laser stimulation patterns were generated using two orthogonally-mounted acousto-optical deflectors controlled by a custom-written LabView 2013 software (National Instruments). A reference image of the FOV was used to target the laser beam on a selected cortex area.
Single-pulse laser stimulation consisted of one pulse (10 ms ON) repeated 8 times in one imaging session at different laser power (0.22–1.3 – 2.5–5.2 – 7.7–13.2 mW, after the objective).
The stimulus train consisted of 2 s, 16 Hz, 10 ms ON. The 16 Hz frequency resulted from a trade-off between the imaging recording frequency (50Hz) and the stimulation frequency needed to evoke a complex movement for saving at least two imaging frames during the stimulus train. For laser power calibration experiments the laser power used were: 1.3- 2.5 - 5.2–7.7 - 13.2 mW. For light-based motor mapping, connectivity studies and pharmacological inhibition laser power was the minimum power required to evoke movements (from 1.3 mW to 13.2 mW).
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9

Head-Gaze Controlled Visual Acuity Test

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We developed the control algorithm, and used the LabVIEW 2013 software (National Instruments Corporation). The flow chart of the algorithm is shown in Fig. 2B. First, the quaternion data of head orientation were transmitted to the control system as the input signal, and then the quaternion data were transformed to the direction cosine matrix. After that, the built in function "Direction Cosine to Euler Angles" was used to calculate the rotation angle degree of the Yaw axial (Horizontal plane). The rotation order was the "Z-X-Y", which could avoid the gimbal lock to disturb the Yaw axial. Then, the data of the Yaw axial as the input reference and the algorithm based on the reference are used to set a desired order and target (optotypes with different orientation and size) for the correct screen which in turn instructed the subject to finish the test. F2-16 Fig. 2: The controlling algorithm. A, The transformed equation for direction cosine matrix (DCM). The quaternion data was transformed to the DCM by this equation. The quaternion data with four parameters were the Q w , Q x , Q y , and Q z ; they were the q 0 , q 1 , q 2 , and q 3 , respectively. B, The flow chart of control algorithm. The orientation data were transferred to DCM and was used to calculate the Euler angle, which decides the instruction displayed in the screen.
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10

Linear Treadmill Locomotion Imaging

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Awake mice were placed on a custom-made linear treadmill (36 (link)). The speed of the treadmill belt was monitored with an optical encoder (Honeywell, no. 600-128-CBL). The belt was freely movable so that the mouse could walk voluntarily; however, at predefined episodes a servo motor was engaged to enforce locomotion at 80 to 110 mm/s. National Instruments boards controlled by custom written scripts in LabVIEW 2013 (version 13.0.1f2, National Instruments) were used to trigger image acquisition and for simultaneous recording at 20-kHz sampling rate of locomotion speed data and Y-mirror position (two-photon imaging) or CMOS camera frame timestamp (fiber photometry) data. Nonimaging data were post hoc downsampled to the image acquisition frame rate and the Y-mirror or frame timestamp data were used to assign appropriate data bins to individual image frames.
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