The largest database of trusted experimental protocols

Cheetah data acquisition software

Manufactured by Neuralynx
Sourced in United States

Cheetah is a data acquisition software developed by Neuralynx. It is designed to capture and record neural signals and other experimental data from various laboratory equipment. The software provides a platform for users to configure data acquisition parameters, monitor real-time data, and store the collected information for further analysis.

Automatically generated - may contain errors

15 protocols using cheetah data acquisition software

1

Intracortical Neural Signal Acquisition

Check if the same lab product or an alternative is used in the 5 most similar protocols
To determine the electrode performance and neuronal activities over time, intracortical neural signals were acquired from freely moving mice in their home cages with a NeuraLynx Digital Data Acquisition System (NeuraLynx, Bozeman, Montana), including a DL 4SX-M 32ch Base, a headstage preamplifier HS-18-CNR-MDR50, a HS-18-N2T-16 adaptor, and Cheetah data acquisition software, at a sampling frequency of 32 kHz. High-frequency (HF) data containing multiple unit activity (MUA, filtered between 900 and 5 kHz) and local field potentials (LFP, filtered between 0.1 and 300 Hz) were saved with Cheetah software (NeuraLynx, Bozeman, Montana). Each recording session lasted about 15 min.
+ Open protocol
+ Expand
2

Chronic Implantation of Tetrodes for Hippocampal Recordings in Rabbits

Check if the same lab product or an alternative is used in the 5 most similar protocols
Rabbits were implanted with custom‐made 96‐channel chronically implantable microdrives equipped with 24 independently moveable tetrodes and three reference tetrodes aimed at the dorsal CA1 hippocampus (3.0 mm posterior, 3.0 mm lateral to bregma), anterior thalamus, and the prelimbic prefrontal cortex. Only data for the dorsal CA1 hippocampus are reported here. Each tetrode consisted of four, 12.7 µm, heavy‐formvar insulated Stablohm 800 wires (California Fine Wire) with the tips gold‐plated to lower the impedance to 200 kΩ at 1 KHz. Electrical signals recorded from the tetrodes were referenced to a common ground screw or a reference tetrode, amplified 10,000×, digitized, band‐pass filtered at 600–6000 Hz, and saved for offline analysis using Cheetah Data Acquisition Software (Neuralynx).
+ Open protocol
+ Expand
3

Neuronal Populations Recorded via Tetrodes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Electrophysiological data was collected daily while animals were engaged in the task. Spike-triggered waveforms were recorded from each tetrode using Digital Lynx SX hardware and Cheetah data acquisition software (Neuralynx, Bozeman, MT). Data were acquired with a sampling rate of 32 kHz, and spike waveforms were bandpass filtered at frequency ranges of 600 – 6,000 Hz. Tetrodes were moved 40-80 μm after each recording session to ensure that independent populations of neurons were sampled across sessions.
+ Open protocol
+ Expand
4

Monitoring Animal Orientation in Electrophysiology

Check if the same lab product or an alternative is used in the 5 most similar protocols
We used two methods to monitor the animal’s orientation during electrophysiology sessions. First, we connected red and green LEDs to the animal’s implant and tracked head orientation throughout the behavioral session using Cheetah data acquisition software (Neuralynx, Bozeman, MT). LED positions were sampled at 30 Hz. Head angles were computed at each sample time and then smoothed with a Gaussian. For the second method, we used an open-source software package (Bonsai; G. Lopes, https://bitbucket.org/horizongir/bonsai) to track the animal’s whole body orientation. Body angle was sampled at 100 Hz. The estimates produced using the implant LEDs and body tracking were generally in good agreement, although there tended to be more variability in body angle than head angle (e.g., the rat’s head could remain stationary in the central port despite small body movements).
+ Open protocol
+ Expand
5

Monitoring Animal Orientation in Electrophysiology

Check if the same lab product or an alternative is used in the 5 most similar protocols
We used two methods to monitor the animal’s orientation during electrophysiology sessions. First, we connected red and green LEDs to the animal’s implant and tracked head orientation throughout the behavioral session using Cheetah data acquisition software (Neuralynx, Bozeman, MT). LED positions were sampled at 30 Hz. Head angles were computed at each sample time and then smoothed with a Gaussian. For the second method, we used an open-source software package (Bonsai; G. Lopes, https://bitbucket.org/horizongir/bonsai) to track the animal’s whole body orientation. Body angle was sampled at 100 Hz. The estimates produced using the implant LEDs and body tracking were generally in good agreement, although there tended to be more variability in body angle than head angle (e.g., the rat’s head could remain stationary in the central port despite small body movements).
+ Open protocol
+ Expand
6

Multichannel Neural Recording Methodology

Check if the same lab product or an alternative is used in the 5 most similar protocols
Recordings were collected using four tetrodes. Each tetrode consisted of four polyimide-coated nichrome wires (12.5 µm diameter; Sandvik) gold plated to 0.2–0.4 MΩ impedance. Electrical signals were amplified and recorded using the Digital Lynx S multichannel acquisition system in conjunction with Cheetah data acquisition software (Neuralynx). Tetrode depths, estimated by calculating the rotation of the screw affixed to the shuttle holding the tetrode (one rotation = ~250 µm), were adjusted ~75 µm between recording sessions to sample independent populations of neurons across sessions. Offline spike sorting and cluster quality analysis was performed using MCLUST software (MClust-4.0, A.D. Redish et al.) in MATLAB. Briefly, single units were isolated by manual clustering based on features of the sampled waveforms (amplitude, energy, and the first principal component normalized by energy). Clusters with L-ratio <0.75 and isolation distance >12 were deemed single units (Schmitzer-Torbert et al., 2005 (link)), which resulted in excluding 30% of clusters. Although units were clustered blind to inter-spike interval (ISI), clusters with ISIs <1 ms were excluded.
+ Open protocol
+ Expand
7

HIFU Effects on Cortical Neuronal Activity

Check if the same lab product or an alternative is used in the 5 most similar protocols
To characterize effect of HIFU on brain surface activities, we used µECoG arrays (Neuronexus) with 16 small recording electrodes (surface area ~0.03 mm2) arranged in a 4 × 4 grid, allowing us to sample small populations of neurons from the superficial layers of cortex at high resolution. Epidural neural signals were acquired with a NeuraLynx Digital Data Acquisition System, including a DL 4SX-M 32ch Base, a headstage pre-amplifier HS-18-CNR-MDR50, a HS-18-N2T-16 adaptor and Cheetah data acquisition software, at a sampling frequency of 16 kHz from freely moving animals in their home cages. High pass filtered (HPF; 900 to 5 kHz) and ECoG (0.1 and 300 Hz) signals were saved with Cheetah software (NeuraLynx). The animals’ behavioral state was simultaneously recorded and classified into Move or Resting status with HomeCageScan software (CleverSys) during electrophysiological recordings.
Ipsilateral and contralateral ECoG data were collected from different cohorts of animals. Contralateral animals were allowed to recover from implantation surgery for a week, then four-week baseline data were collected (Fig. 1A, n = 10 in both HIFU and sham groups). In ipsilateral cohort, animals were subjected to HIFU/sham treatment immediately before ECoG array implantation surgery, therefore, no baseline data were collected (Fig. 1A in purple, n = 4 in both HIFU and sham groups).
+ Open protocol
+ Expand
8

Auditory Evoked Potential Recording in Fear Conditioning

Check if the same lab product or an alternative is used in the 5 most similar protocols
All the animals were subjected to the recording of the local field potentials (LFPs) during tone habituation session, fear recall and extinction session and extinction recall session. Auditory-evoked potentials (AEPs) were recorded by connecting the microelectrodes to a unit gain buffer head stage (HS-36-Flex; Neuralynx, Bozeman, Montana, USA) and a data acquisition system Digilynx (Neuralynx, Bozeman, Montana, USA). Neural data were amplified (1000 times) and acquired at a sampling rate of 1 kHz followed by a band-pass filter (1–500 Hz) using Cheetah data acquisition software (Neuralynx, Bozeman, Montana, USA).
+ Open protocol
+ Expand
9

Ensemble Recordings from Lateral Habenula

Check if the same lab product or an alternative is used in the 5 most similar protocols
Recordings were carried out using a Digital Lynx 16SX recording system and Cheetah data acquisition software (Neuralynx). Signals from the tetrodes were bandpass filtered between 600 and 9000 Hz and digitized at 32 kHz. Spike detection was performed in real time using a thresholding procedure: when the filtered signal reached threshold amplitude on any wire, a sweep including 8 data points before the crossing and 24 points after (32 points, or 1 ms) were saved as a putative spike event. Spike sorting and noise filtering was performed offline. The laser intensity was adjusted to ~5 mW at the tip of the optrode prior to implantation. The optrode was lowered using the stereotax arm until the tetrode tips reached the dorsal extent of the lHb. Once the tissue and recordings stabilized, the optrode was slowly advanced until spikes were observed on at least one of the tetrodes. Spike amplitude and firing rate were allowed to stabilize and observed for several minutes prior to recording. For all trials a 30 second baseline recording was acquired, followed by 1 minute of stimulation and ending with a 30 second post-stimulation baseline. The optrode was then stepped forward and this procedure repeated until the inferior extent of the lHb was reached.
+ Open protocol
+ Expand
10

Ensemble Recordings from Lateral Habenula

Check if the same lab product or an alternative is used in the 5 most similar protocols
Recordings were carried out using a Digital Lynx 16SX recording system and Cheetah data acquisition software (Neuralynx). Signals from the tetrodes were bandpass filtered between 600 and 9000 Hz and digitized at 32 kHz. Spike detection was performed in real time using a thresholding procedure: when the filtered signal reached threshold amplitude on any wire, a sweep including 8 data points before the crossing and 24 points after (32 points, or 1 ms) were saved as a putative spike event. Spike sorting and noise filtering was performed offline. The laser intensity was adjusted to ~5 mW at the tip of the optrode prior to implantation. The optrode was lowered using the stereotax arm until the tetrode tips reached the dorsal extent of the lHb. Once the tissue and recordings stabilized, the optrode was slowly advanced until spikes were observed on at least one of the tetrodes. Spike amplitude and firing rate were allowed to stabilize and observed for several minutes prior to recording. For all trials a 30 second baseline recording was acquired, followed by 1 minute of stimulation and ending with a 30 second post-stimulation baseline. The optrode was then stepped forward and this procedure repeated until the inferior extent of the lHb was reached.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!