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Actimetrics Inc clocklab analysis software version 6.1.15
Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with <t>ClockLab</t> percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.
Clocklab Analysis Software Version 6.1.15, supplied by Actimetrics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/clocklab+analysis+software/clocklab+analysis+software/pmc11929000-84-0-5
Average 90 stars, based on 1 article reviews
clocklab analysis software version 6.1.15 - by Bioz Stars, 2026-09
90/100 stars

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1) Product Images from "Multiple oscillators underlie circadian food anticipation in mice"

Article Title: Multiple oscillators underlie circadian food anticipation in mice

Journal: Neurobiology of Sleep and Circadian Rhythms

doi: 10.1016/j.nbscr.2025.100116

Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with ClockLab percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.
Figure Legend Snippet: Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with ClockLab percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.

Techniques Used:

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Article Title: Inflammatory pain in mice induces light cycle-dependent effects on sleep architecture.
Article Snippet: Period length (tau) was determined through χ2 periodogram analysis, rhythm strength was measured using relative Fast Fourier Transform (FFT) analysis, and other non-parametric features of circadian locomotor activity were assessed with ClockLab Analysis v6.1.02 (Actimetrics).

Article Title: Dim light at night induces depression-like behaviors during the postpartum period through circadian rhythm related pathways in mice.
Article Snippet: Assessment of circadian rhythmic activity Wheel running activity data over a 21-day period from GD1 to PPD2 in females mice (N= 8 per group) were collected and analysed with ClockLab (Version 6, Actimetrics, Wilmette, IL, USA).

Article Title: Dim light at night induces depression-like behaviors during the postpartum period through circadian rhythm related pathways in mice
Article Snippet: Wheel running activity data over a 21-day period from GD1 to PPD2 in females mice ( N = 8 per group) were collected and analysed with ClockLab (Version 6, Actimetrics, Wilmette, IL, USA).

Software:

Article Title: Seizure‐related death exhibits a circadian rhythm independent of seizure timing or sleep in a mouse model of Dravet syndrome
Article Snippet: .. Circadian behaviour was analysed off-line using ClockLab Analysis software (ClockLab Analysis 6; ActiMetrics), which was used to generate individual actograms, tau andminute-by-minute activity counts). ..

Article Title: Circadian timing and entrainment properties of the SCN pacemaker in the PS19 mouse model of tau pathology
Article Snippet: .. Activity-based assessments were performed with ClockLab Analysis software (ActiMetrics; Lafayette, IN) and Actiview software (Starr Life Sciences; Oakmont, PA). ..

Article Title: A circadian behavioral analysis suite for real-time classification of daily rhythms in complex behaviors.
Article Snippet: .. We controlled the ceiling-mounted lights in the cabinets (broad-spectrum white light, ∼3 x 1014 photons/cm2/s measured at the cage floor) using ClockLab Data Collection hardware and software (Actimetrics) that communicated via a 5V transistor-transistor logic signal with a high-power power relay (Digital Loggers). ..

Article Title: Seizure‐related death exhibits a circadian rhythm independent of seizure timing or sleep in a mouse model of Dravet syndrome
Article Snippet: .. Circadian behaviour was analysed off‐line using ClockLab Analysis software (ClockLab Analysis 6; ActiMetrics), which was used to generate individual actograms, tau and minute‐by‐minute activity counts). ..

Activity Assay:

Article Title: Seizure‐related death exhibits a circadian rhythm independent of seizure timing or sleep in a mouse model of Dravet syndrome
Article Snippet: .. Circadian behaviour was analysed off-line using ClockLab Analysis software (ClockLab Analysis 6; ActiMetrics), which was used to generate individual actograms, tau andminute-by-minute activity counts). ..

Article Title: Circadian timing and entrainment properties of the SCN pacemaker in the PS19 mouse model of tau pathology
Article Snippet: .. Activity-based assessments were performed with ClockLab Analysis software (ActiMetrics; Lafayette, IN) and Actiview software (Starr Life Sciences; Oakmont, PA). ..

Article Title: Mitofusin 2 controls mitochondrial and synaptic dynamics of suprachiasmatic VIP neurons and related circadian rhythms
Article Snippet: .. Locomotor activity was recorded using the ClockLab Data Collection System (Actimetrics). .. Activity data was analyzed in 6-minute bouts using ClockLab software (Actimetrics).

Article Title: Seizure‐related death exhibits a circadian rhythm independent of seizure timing or sleep in a mouse model of Dravet syndrome
Article Snippet: .. Circadian behaviour was analysed off‐line using ClockLab Analysis software (ClockLab Analysis 6; ActiMetrics), which was used to generate individual actograms, tau and minute‐by‐minute activity counts). ..



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The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using <t>ClockLab</t> (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.
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The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using <t>ClockLab</t> (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.
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The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using <t>ClockLab</t> (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.
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Actimetrics Inc clocklab analysis software version 6.1.15
Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with <t>ClockLab</t> percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.
Clocklab Analysis Software Version 6.1.15, supplied by Actimetrics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/clocklab+analysis+software/clocklab+analysis+software/pmc11929000-84-0-5
Average 90 stars, based on 1 article reviews
clocklab analysis software version 6.1.15 - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using ClockLab (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.

Journal: bioRxiv

Article Title: Gamma CV as a Marker of Circadian Disruption in C57BL/6J Mice: Correlating Neural Desynchrony with Locomotor, Thermal, and Sleep Dysrhythmia across a Spectrum of Circadian Rhythms Disruption paradigms

doi: 10.64898/2026.05.01.722075

Figure Lengend Snippet: The flow diagram illustrates the multi-stage process performed in our high-resolution telemetry data, beginning with 1) Data Acquisition and Inspection, where raw in-vivo signals, including LA, CBT, and EEG, were recorded from freely moving mice and processed using NOTOCORD-hem software (v4.3.0.75) for blinded visual inspection of artifacts. During 2) Data Analysis, EEG data (sampled every 0.2 ms) underwent a three-stage cleaning process via Operant Modules (OPR)—including Offset Removal (OPR10a), Dropout Masking (OPR10b), and Cleaned Signal Generation (OPR10c)—to produce refined frequency bands (Delta through High Gamma) in 30-second epochs. Concurrently, LA and CBT data were preprocessed using RTM and OPR10a4/a5 modules to adjust for signal dropouts before being exported via the NOTOCORD-to-Excel Add-In for Root Mean Square (RMS) thresholding and 30-minute averaging. Final circadian rhythmicity parameters, such as Amplitude and Interdaily Stability (IS), were calculated using ClockLab (v.6). Final analysis of LA and CBT was conducted in STATISTICA 8.0, while EEG, sleep architecture, and Gamma Coefficient of Variation (CV) were analyzed using R/RStudio with specific packages (e.g. tidyverse , lme4 , and emmeans packages). Alt text: A workflow diagram illustrating the multi-stage analytical pipeline for telemetry data. The process begins with raw signal acquisition (LA, CBT, EEG) in NOTOCORD-hem, followed by EEG cleaning and epoch generation through OPR modules. The pipeline shows separate processing paths for locomotor/temperature data (Excel and ClockLab) and EEG/sleep metrics (R/RStudio and STATISTICA 8.0) for final statistical modeling and rhythmicity analysis.

Article Snippet: Clock Lab data transformation for activity profiles: The analysis of circadian variables began by transforming the initial Motion and Temperature .xlsx data files into a format compatible with ClockLab Analysis Software (v. 6, ACTIMETRICS).

Techniques: In Vivo, Software, Process/Product Development

Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with ClockLab percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.

Journal: Neurobiology of Sleep and Circadian Rhythms

Article Title: Multiple oscillators underlie circadian food anticipation in mice

doi: 10.1016/j.nbscr.2025.100116

Figure Lengend Snippet: Group averaged double plotted ethograms of the first cohort WT mice. Group averaged wheel running (A), pellet intake (B), rewarded left poke (C), unrewarded right poke (D) are plotted in 6 min bin with ClockLab percentile plot (quantiles = 50). Single individual ethograms are shown in . Light and dark condition is presented on the left half of the panel (gray: dark). Time of food availability is shown outlined in orange on the left half of the panel. Roman numerals at the right side of the panel indicate different feeding conditions as also shown in A-D.

Article Snippet: ClockLab analysis software (version 6.1.15, Actimetrics) was used to generate group average double-plotted ethograms in 6-min bins, using the percentile plot with quantiles = 50.

Techniques: