Usb 6259

Manufactured by National Instruments

Sourced in United States

The USB-6259 is a high-performance multifunction data acquisition (DAQ) device from National Instruments. It features 16-bit analog-to-digital converters, 32 analog input channels, and 4 analog output channels. The device supports a sampling rate of up to 1.25 MS/s and provides connectivity through a USB interface.

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Lab products found in correlation

Bluesensor m, by Ambu (2 mentions) Matlab, by MathWorks (2 mentions) Pxie 1062q system, by National Instruments (2 mentions) Labview program, by National Instruments (1 mentions) Dp 304, by Warner Instruments (1 mentions) Hva200, by Thorlabs (1 mentions) Spcm nir 14 fc, by Excelitas (1 mentions) Labview, by National Instruments (1 mentions) Usb 6009, by National Instruments (1 mentions)

13 protocols using usb 6259

Electrochemical Performance Evaluation of RuO2 Electrodes

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All the measurements
were performed in an electrochemical cell, as presented in Figure 6c,d. One of the fabricated
electrodes (RuO₂, RuO₂–CuO, RuO₂–Nf, or RuO₂–CuO–Nf) and a standard
glass ion-selective Ag|AgCl (RL-100, HYDROMET, Poland) reference electrode
were connected to the measuring device (Data Acquisition (DAQ) device,
USB-6259, National Instruments, USA) through a circuit board via galvanic
connections. The measuring device was powered by a high-performance
digital power supply (E3631A, Agilent, USA) with an input voltage
of 12 V. The potential difference between a fabricated and the reference
electrode was monitored and registered with the use of the LabVIEW
program (National Instruments, USA).

Lazouskaya M., Vetik I., Tamm M., Uppuluri K, & Scheler O. (2023). Binary RuO2–CuO Electrodes Outperform RuO2 Electrodes in Measuring the pH in Food Samples. ACS Omega, 8(14), 13275-13284.

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Wireless Telemetric ECG Monitoring in Mice

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After recovery, mice were slightly sedated with isoflurane before connection to the ECG set-up. The connector strip on the rigid platform of the harness was connected to a 4-channel unity gain preamplifier (based on a TL074 SMT Opamp, Texas Instruments, Dallas, TX, USA) by means of Winslow connector pins (267-7400, RS components, Corby, UK). The preamplifier was attached to a swivel system through a 6-channel commutator (Plastics One, Roanoke, VA, USA) allowing free movement of the animal in the cage. Next, using a custom-made amplifier (based on TL074 Opamp, Texas Instruments), the ECG signals were high-pass filtered at 0.15 Hz and amplified 512 times. The ECG signals were digitized at a sampling rate of 2000 Hz (16-bit resolution, +/− 10 V input range) by means of a NiDAQ card (USB-6259, National Instruments, Austin, TX, USA) with 32 analog input channels. For this study, mice remained connected to the ECG set-up for four consecutive days. Three simultaneously recorded ECG traces were obtained in lead I, II and III configurations (Figure 2). In this study, the ECG data were subdivided into fragments of twenty minutes for the subsequent optimization and validation of the analysis parameters. For analysis of long-term ECG recordings, we developed custom algorithms that can be applied to multiple recorded fragments using a straightforward batch processing mode.

Steijns F., Tóth M.I., Demolder A., Larsen L.E., Desloovere J., Renard M., Raedt R., Segers P., De Backer J, & Sips P. (2020). Ambulatory Electrocardiographic Monitoring and Ectopic Beat Detection in Conscious Mice. Sensors (Basel, Switzerland), 20(14), 3867.

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NI-DAQmx Supported NeuroPG Protocol

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Currently, only National Instruments (NI; Austin, TX, USA) DAQ hardware supporting session based control (NI-DAQmx drivers) is supported by NeuroPG. At least three analog input channels and one counter/timer output are required but do not need to be on the same device. NeuroPG was tested using the NI USB-6259 and the NI PCIe-63321 X Series.

Avants B.W., Murphy D.B., Dapello J.A, & Robinson J.T. (2015). NeuroPG: open source software for optical pattern generation and data acquisition. Frontiers in Neuroengineering, 8, 1.

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Extracranial LFP and Multiunit Recordings

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LFP recordings outside of the MRI environment were performed using a differential amplifier (DP304, Warner Instruments) and a data acquisition system (USB 6259, National Instruments). Multiunit recordings were performed using the OpenEphys system and a sharpened tungsten electrode (0.5 kOhm impedance, 120 μm diameter, AM systems) attached to a 105 μm diameter optical fiber.

Duffy B.A., Choy M, & Lee J.H. (2020). Predicting successful generation and inhibition of seizure-like afterdischarges and mapping their seizure networks using fMRI. Cell reports, 30(8), 2540-2554.e4.

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Frequency-Modulation SREF Imaging

Cited 1 time

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The details of the frequency-modulation method we adopt here can be found in our previous publication^{24 (link)}. The main difference comes from the signal detection part. For FM-SREF detection, a non-resonance electro-optic modulator (EO-AM-NR-C2, Thorlabs) is used, and it is driven by a 50-kHz square wave amplified by a high-voltage amplifier (HVA200, Thorlabs) to achieve more than 90% modulation depth. The square wave is generated by our home-built lock-in photon counter for the convenience of phase control and signal synchronization. For filter set configuration, a 2-mm-thick shortpass dichroic mirror (T785spxxr-UF2, Chroma) was used for flatness consideration, all the other optical filters used for nitrile-band SREF signal detection are the same as those used in our previous publication^{20 (link)}. The same objective (UPLSAPO, 1.2NA, Olympus) and detector (SPCM-NIR-14-FC, Excelitas) were used for all measurements and imaging. And all imaging scanning and data acquisition (including the lock-in photon counter) are driven by a Multifunction I/O card (USB-6259, NI) controlled with a LabVIEW-based home-built software. The detailed construction of the three systems used in this research can be found in Fig. S1, Fig. S2c, and Fig. 4a. The lock-in photon counter can be coded by following the time sequence diagram shown in Fig. S3.

Xiong H., Qian N., Miao Y., Zhao Z., Chen C, & Min W. (2021). Super-resolution vibrational microscopy by stimulated Raman excited fluorescence. Light, Science & Applications, 10, 87.

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Hydraulic Bioreactor for IVD Loading

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A hydraulically actuated bioreactor loading system, capable of fitting within an incubator, was built to physiologically load and mechanically evaluate 9 bovine IVDs or 6 human IVDs simultaneously (Figure 2). The system is capable of applying up to 4kN at 1 Hz and consists of a hydraulic pump (PP10/G2-005/3, Rexroth Bosch Group, Charlotte, NC) which is connected to three proportional hydraulic valves (4WREEM, Rexroth Bosch Group). Each hydraulic valve is connected to three hydraulic actuators (CHE 32-18-9A, Parker, Fairfield, NJ). Each actuator is instrumented with a 1000lb load-cell (06-1432-07 Honeywell, Columbus, OH) and a displacement transducer (LVDT, Omega LD620-10, Stamford CT) (Figure 2A). The pressure between the hydraulic valve and the hydraulic actuators is monitored via a pressure transducer (A-10, WIKA, Lawrenceville, GA). All electronics interface with a computer through a data acquisition system (USB-6259, National Instruments, Austin, TX) and are controlled using custom Labview software. The applied force was controlled via a proportional-integral-differential (PID) controller which minimizes the error between the averaged applied force and the force set point (Figure 2B).

Walter B., Illien-Junger S., Nasser P., Hecht A, & Iatridis J. (2014). Development and Validation of a Bioreactor System for Dynamic Loading and Mechanical Characterization of Whole Human Intervertebral Discs in Organ Culture. Journal of biomechanics, 47(9), 2095-2101.

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Multisensory Illusion of Hand Ownership

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To test the MiHand system, subjects were seated at a table, with an artificial hand placed on the table next to the real hand. The real hand was obscured from a subject’s line of sight by a platform covering it. The control hand was placed in view on the table. For example, if the artificial hand was the right hand as in Fig. 1, the artificial hand was placed to the immediate left of the real right hand. The real right hand was placed beneath a platform, and the real left hand was visible on the table. A drape covered both arms and the artificial hand’s wrist terminus, leading to an immediate visual illusion of ownership because the artificial hand appeared as if it could be connected to the subject (Fig. 1).
LabVIEW (National Instruments Corporation) running on Windows 7 was used to control the experiment and record data through two DAQs (USB-6259 and USB-6009, National Instruments Corporation).

Benz H.L., Sieff T.R., Alborz M., Kontson K., Kilpatrick E, & Civillico E.F. (2016). System to Induce and Measure Embodiment of an Artificial Hand with Programmable Convergent Visual and Tactile Stimuli. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2016, 4727-4730.

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Multimodal Neuromuscular Recordings

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In all experiments, surface EMG was collected from the medial gastrocnemius (mGAS) and soleus (SOL) muscles in the right leg using self-adhesive Ag-AgCl surface electrodes (BlueSensor M; Ambu, Copenhagen, Denmark). The recordings were made using a bipolar set-up with electrodes placed in-line with the muscle fibers at an inter-electrode (i.e., center-to-center) distance of 18 mm. The skin of the subject's right leg was shaved and cleaned with skin preparation gel (NuPrep; Weaver and Company, Aurora, CO) and alcohol (MediSwab; BSN Medical, Hamburg, Germany) before the electrodes were secured. Acceleration of the plane was measured with a 3-axis accelerometer (3D Accelerometer; TMSi, Oldenzaal, Netherlands) and together with EMG was digitized at 2000 Hz on a data acquisition board (Porti7; TMSi, Oldenzaal, Netherlands). Vestibular stimuli, force plate signals and laser sensor data were digitized at 2000 Hz and recorded via a separate data acquisition board (USB-6259; National Instruments) using a custom MATLAB script (MathWorks, Natick, MA, United States). The two recording systems received a trigger signal at the onset of the vestibular stimulus to synchronize the data.

Kickingereder P., Isensee F., Tursunova I., Petersen J., Neuberger U., Bonekamp D., Brugnara G., Schell M., Kessler T., Foltyn M., Harting I., Sahm F., Prager M., Nowosielski M., Wick A., Nolden M., Radbruch A., Debus J., Schlemmer H.P., Heiland S., Platten M., von Deimling A., van den Bent M.J., Gorlia T., Wick W., Bendszus M, & Maier-Hein K.H. (2019). Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study. The Lancet. Oncology, 20(5).

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Stable Organic Electrochemical Transistors

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The transistor was gated with (x, y) lateral Au electrodes covered with PEDOT:PSS, and aqueous NaCl electrolyte (100 mM) in deionized water. All measurements were recorded after cycling the OECTs (repetitive 0.3/−0.3 V cycles at the gate for 10 sec each) in order to obtain reproducible behavior. Each current amplitude I₀ was defined for pulsing each gate with t_P = 50 ms and T_P = 10 s (using the average of 5 pulses) and recording the drain current. The amplitude I₀ was quite stable for 5 pulses. When the devices are operated in normal conditions (using V_DS < 0.6 V and V_P < 0.6 V), they are quite stable for at least a six month period. OECT dimensions (PEDOT:PSS channel width, length and gate electrode) were determined with optical microscopy. The thickness of the PEDOT:PSS film was determined with profilometry. The drain current was measured using a National Instrument PXIe-1062Q system. The OECT was biased with a PXIe-4145 source measure unit (SMU) that was simultaneously recording drain current with a sampling rate of 1kHz. Gate voltages were generated by a National Instrument USB-6259. Both gate voltages and drain current measurements were internally triggered by the PXIe system. The acquisition system was monitored by custom-made LabVIEW software.

Gkoupidenis P., Koutsouras D.A., Lonjaret T., Fairfield J.A, & Malliaras G.G. (2016). Orientation selectivity in a multi-gated organic electrochemical transistor. Scientific Reports, 6, 27007.

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Multimodal Neuromuscular Evaluation Protocol

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In all experiments, surface EMG was collected from the medial gastrocnemius (mGAS) and soleus (SOL) muscles in the right leg using self-adhesive Ag-AgCl surface electrodes (BlueSensor M; Ambu, Copenhagen, Denmark). The recordings were made using a bipolar set-up with electrodes placed in-line with the muscle fibers at an inter-electrode (i.e., center-to-center) distance of 18 mm. The skin of the subject’s right leg was shaved and cleaned with skin preparation gel (NuPrep; Weaver and Company, Aurora, CO) and alcohol (MediSwab; BSN Medical, Hamburg, Germany) before the electrodes were secured. Acceleration of the plane was measured with a 3-axis accelerometer (3D Accelerometer; TMSi, Oldenzaal, Netherlands) and together with EMG was digitized at 2000 Hz on a data acquisition board (Porti7; TMSi, Oldenzaal, Netherlands). Vestibular stimuli, force plate signals and laser sensor data were digitized at 2000 Hz and recorded via a separate data acquisition board (USB-6259; National Instruments) using a custom MATLAB script (MathWorks, Natick, MA, United States). The two recording systems received a trigger signal at the onset of the vestibular stimulus to synchronize the data.

Arntz A.I., van der Putte D.A., Jonker Z.D., Hauwert C.M., Frens M.A, & Forbes P.A. (2019). The Vestibular Drive for Balance Control Is Dependent on Multiple Sensory Cues of Gravity. Frontiers in Physiology, 10, 476.

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