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clocklab software (Actimetrics Inc)

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Actimetrics Inc clocklab software
Clocklab Software, supplied by Actimetrics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/clocklab+software/clocklab+software/10__1113_slash_jp290740-80-6-8
Average 86 stars, based on 1 article reviews

clocklab software - by Bioz Stars, 2026-11

86/100 stars

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Software:

Article Title: Exercise training prior to and during cancer in mice preserves muscle mass, reduces tumour weight and suppresses molecular mediators of cachexia
Article Snippet: .. Running distances (km/day) were recorded using ClockLab software (Actimetrics, Wilmette, IL, USA). ..

Article Title: Impact of NPAS2 on mPFC dopamine synthesis and nap behavior
Article Snippet: .. The locomotor activities of the subjects were analyzed using the ClockLab software (Actimetrics, Wilmette, IL). ..

Article Title: β-arrestin1 orchestrates endosomal signaling to regulate translational control of circadian light entrainment
Article Snippet: .. Wheel revolutions were recorded and resulting circadian parameters were assessed using ClockLab software (Actimetrics). ..

Article Title: Circadian modulation of spontaneous dopamine release shapes reward-evoked signaling in the nucleus accumbens
Article Snippet: .. For the spontaneous DA experiment, wheel-running data were recorded using ClockLab software (Actimetrics) and analyzed using custom Python scripts. ..

Article Title: Muscle-derived Mimecan regulates hypothalamus-brown adipose tissue communication and promotes health and lifespan in mice.
Article Snippet: .. Running-wheel activities were recorded and averaged into counts/day using Clocklab software (Actimetrics, Evanston, IL). ..

Article Title: Glial cytokine modulation improves sleep and circadian disruption in female SAA knock‐in mice of Alzheimer's‐related pathology
Article Snippet: .. These data were exported into ClockLab software (version 6.1, Actimetrics) for circadian rhythm analysis. .. These data were exported into ClockLab software (version 6.1, Actimetrics) for circadian rhythm analysis.

Article Title: BMAL1 regulates circadian rhythms via phase separation–mediated transcriptional hub formation
Article Snippet: .. Wheel-running activity was analyzed using ClockLab software (Actimetrics, USA). ..

Article Title: Divergent molecular and circuit mechanisms underlie light entrainment of retinal and suprachiasmatic nucleus circadian clocks
Article Snippet: .. Subsequently, animals were maintained in constant darkness (DD) to examine the free-running period calculated by periodogram analysis using ClockLab software (Actimetrics). ..

Activity Assay:

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