Daniovision tracking system

Manufactured by Noldus

Sourced in Netherlands

The DanioVision tracking system is a video-based solution for recording and analyzing the behavior of small aquatic organisms, such as zebrafish (Danio rerio). The system uses high-speed video cameras to track the movement and activity of the specimens, providing detailed data on their locomotion and other behavioral parameters.

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Lab products found in correlation

Ethovision 11, by Noldus (4 mentions) Ethovision 8, by Noldus (3 mentions) Ethovision xt 9, by Noldus (2 mentions) Ethovision xt software, by Noldus (2 mentions) Ethovision xt 7, by Noldus (2 mentions) Ethovision xt 12, by Noldus (1 mentions)

Spelling variants of this product

DanioVision (42 citations) DanioVision system (37 citations) Noldus tracking system (4 citations) DanioVision video-tracking system (4 citations)

18 protocols using daniovision tracking system

Larval Zebrafish Locomotor Assay

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Continuous recording at basal conditions: larvae at 3 dpf were placed in a 96-well plate (1 larva per well, 300 µL of FW medium) in the observation chamber of the DanioVision tracking system (Noldus Information Technology, Wageningen, The Netherlands). Locomotor activity was tracked for about 2 consecutive days and then analyzed by Ethovision 11 software (Noldus Information Technology, NL, Wageningen, The Netherlands). The IR-sensitive camera was set to 25 frames per second. Swimming activity of each larva was calculated as the distance moved during 6 min time windows. A minimal distance movement of 0.2 mm was used. Fish were kept under 12:12 LD cycles (lights on at 08:00, lights off 20:00).
Light startle test: larvae at 5 dpf were placed in a 24-well plate (1 larva per well, 1 mL of FW medium) in the observation chamber of the DanioVision tracking system (Noldus Information Technology, NL). After 20 min of acclimation in the light, the larvae were subjected to three cycles of 10 min of light followed by 10 min of dark. Swimming activity of each larva was calculated as the total distance moved during 2 min time windows.

Dalla Barba F., Soardi M., Mouhib L., Risato G., Akyürek E.E., Lucon-Xiccato T., Scano M., Benetollo A., Sacchetto R., Richard I., Argenton F., Bertolucci C., Carotti M, & Sandonà D. (2023). Modeling Sarcoglycanopathy in Danio rerio. International Journal of Molecular Sciences, 24(16), 12707.

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Rhythmic Behavior and Sleep Deprivation in Zebrafish

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The kcnh4a^+/− adult zebrafish were intercrossed and their progeny were kept under LD cycle. At 5 dpf, the larvae were individually placed in 48-well plates. At 6 dpf, larva-containing plates were placed in the Noldus DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands) and acclimated for one hour prior to behavioral recording. Recording was performed using the EthoVision XT 9 software (Noldus Information Technology, Wageningen, Netherlands), as previously described (Elbaz et al., 2012 (link)). Light intensity in the tracking system was 70 LUX for all experiments. To monitor rhythmic behavior during a daily cycle, larvae were maintained under the LD cycle, which was similar to the LD cycle prior to the experiment. Data analyses of total locomotor activity, sleep time, sleep\wake transitions, and sleep-bout length were performed according to the parameters previously described (Elbaz et al., 2012 (link)). Following each behavioral experiment, all larvae were subject to genotyping (as described above). SD was performed by randomized manual tapping on a petri dish that contained 6 dpf larvae. Following the SD, sleep time was monitored in sleep-deprived and control larvae (n = 13 for each treatment) using behavioral systems.

Yelin-Bekerman L., Elbaz I., Diber A., Dahary D., Gibbs-Bar L., Alon S., Lerer-Goldshtein T, & Appelbaum L. (2015). Hypocretin neuron-specific transcriptome profiling identifies the sleep modulator Kcnh4a. eLife, 4, e08638.

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Sleep Monitoring in Zebrafish Larvae

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In order to monitor sleep, larvae were individually placed in 48-well plates containing either embryo water, melatonin, ETO, EtOH, or DMSO compound. Larva-containing plates were placed in the Noldus DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands) under either light or dark. Live video-tracking were conducted using the EthoVision XT 12 software (Noldus Information Technology, Wageningen, Netherlands) with the following parameters for detection: dynamic subtraction, subject is darker than background, dark contrast 16–60, current frame weight 1, subject size of minimum 1 pixel and maximum 125,000 pixels, subject contour turned off, video sample rate of 12.5 frames per second, and no pixel smoothing. Data analyses of sleep time were performed according to the threshold parameters: distance, 0.3 cm; time, stop velocity 0.59 cm/s, start velocity 0.6 cm/s^{40 (link)}. SD was performed on freely swimming larvae in Petri dishes by 4 h of gentle, random, and unsynchronized manual, mechanical tapping^{11 (link)}. Sleep was monitored continuously prior to and 1 h following SD.

Zada D., Bronshtein I., Lerer-Goldshtein T., Garini Y, & Appelbaum L. (2019). Sleep increases chromosome dynamics to enable reduction of accumulating DNA damage in single neurons. Nature Communications, 10, 895.

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Rhythmic Activity in Zebrafish Larvae

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At 6 dpf, fmr1-/- larvae and WT were individually placed in 48-well plates under 14 h light/10 h dark cycles. Larva-containing plates were placed in the Noldus DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands) and acclimated for one hour prior to recording. Light intensity in the tracking system was 70LUX (25% in the operating software) for all experiments. To monitor rhythmic activity during a daily cycle, larvae were maintained under the same light-dark regime prior to the experiment. To monitor responses to light/dark transitions, larvae were subjected to 3 intervals of 30 min light/30 min darkness. Live video-tracking and analysis were conducted using the EthoVision XT 9 software (Noldus Information Technology, Wageningen, Netherlands) [62 ]. Four independent assays were performed, with a total of 177 and 179 larvae for each genotype in the light/dark-transition experiments, respectively, and a total of 30 and 34 larvae for each genotype in the daily-cycle experiment, respectively.

Shamay-Ramot A., Khermesh K., Porath H.T., Barak M., Pinto Y., Wachtel C., Zilberberg A., Lerer-Goldshtein T., Efroni S., Levanon E.Y, & Appelbaum L. (2015). Fmrp Interacts with Adar and Regulates RNA Editing, Synaptic Density and Locomotor Activity in Zebrafish. PLoS Genetics, 11(12), e1005702.

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Larval Behavioral Responses to Light/Dark Shifts

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Larval responses to sudden transitions from light to dark and from dark to light were monitored using the Noldus DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands), as previously described^{29 (link)}. For each experiment, individual larvae were placed in 48-well plates, which were put in the DanioVision system with light on for 1 h prior to the beginning of the trial. Larvae were subjected to three cycles of 30 min light/30 min dark followed by 10 min light. The experiment was repeated three times, each with a new batch of 6 dpf hopless and TL larvae. Total swimming distance and velocity were calculated using EthoVision XT Software (Noldus Information Technology). For the diazepam treatment experiment, larvae were exposed to 5 µM diazepam (Renaudin, France) for 2 h prior to the start of the behavioral testing. Control larvae were kept in similar conditions during this period. At the end of the incubation, larvae were transferred into individual wells of a 48-well plate and subjected to 30 min light/30 min dark cycles and analyzed as described above. The experiment was repeated four times, each with a new batch of 6 dpf TL larvae.

Biran J., Gliksberg M., Shirat I., Swaminathan A., Levitas-Djerbi T., Appelbaum L, & Levkowitz G. (2020). Splice-specific deficiency of the PTSD-associated gene PAC1 leads to a paradoxical age-dependent stress behavior. Scientific Reports, 10, 9559.

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Larval Behavioral Responses to Light-Dark Transitions

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Larval responses to sudden transitions from light to dark and from dark to light were monitored using the Noldus DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands), as previously described 29 (link) . For each experiment, individual larvae were placed in 48-well plates, which were put in the DanioVision system with light on for 1 h prior to the beginning of the trial. Larvae were subjected to three cycles of 30 min light/30 min dark followed by 10 min light. The experiment was repeated three times, each with a new batch of 6 dpf hopless and TL larvae. Total swimming distance and velocity were calculated using EthoVision XT Software (Noldus Information Technology). For the diazepam treatment experiment, larvae were exposed to 5 µM diazepam (Renaudin, France) for 2 h prior to the start of the behavioral testing. Control larvae were kept in similar conditions during this period.
At the end of the incubation, larvae were transferred into individual wells of a 48-well plate and subjected to 30 min light/30 min dark cycles as described above.

Biran J., Gliksberg M., Shirat I., Swaminathan A., Levitas‐Djerbi T., Appelbaum L., & Levkowitz G. (2020). Splice-specific deficiency of the PTSD-associated gene PAC1 leads to a paradoxical age-dependent stress behavior.

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Zebrafish Larval Locomotion Tracking

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Behavioural experiments were performed using the DanioVision tracking system (Noldus Information Technology, Wageningen, Netherlands). Zebrafish larvae at 4 dpf (days post-fertilization) were placed in 48-well plates, with one larva per well in 1 ml of fish water. After 20 min of acclimation, movements of larvae were recorded repeating three cycles of 10 min of light and 10 min of dark, for a total duration of 60 min, as previously described (MacPhail et al., 2009 (link)).

Risato G., Celeghin R., Brañas Casas R., Dinarello A., Zuppardo A., Vettori A., Pilichou K., Thiene G., Basso C., Argenton F., Visentin S., Cosmi E., Tiso N, & Beffagna G. (2022). Hyperactivation of Wnt/β-catenin and Jak/Stat3 pathways in human and zebrafish foetal growth restriction models: Implications for pharmacological rescue. Frontiers in Cell and Developmental Biology, 10, 943127.

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Circadian Rhythms of Larval Locomotor Activity

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Circadian rhythms of locomotor activity were performed as previously described [79 (link)]. 4-dpf larvae were placed in 48-well plates in the observation chamber of the DanioVision Tracking System (Noldus Information Technology) and exposed, for acclimation, to 12-hours light (1.8 W/m²):12-hours dim light (0.013 W/m² lux) regime followed by 3 days of constant dim light during 6–8-dpf. Live video tracking and analysis was conducted using the Ethovision 11.0 software (Noldus Information Technology). Activity was measured at 6–8-dpf, as the distance moved by a larva in 10 minute time bins. The activity record of each individual was subjected to Fourier analysis, and fitness to a circadian rhythm was scored with a g-factor as previously described [79 (link)].

Shainer I., Michel M., Marquart G.D., Bhandiwad A.A., Zmora N., Livne Z.B., Zohar Y., Hazak A., Mazon Y., Förster D., Hollander-Cohen L., Cone R.D., Burgess H.A, & Gothilf Y. (2019). Agouti-related protein 2 is a new player in the teleost stress response system.. Current biology : CB, 29(12), 2009-2019.e7.

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Zebrafish Locomotor Assay for Behavioral Analysis

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For behavioral assays, 72 hpf, 96 hpf, and 120 hpf Zebrafish were placed in 24-well plates with 1 ml of fish water and images recorded with DanioVision tracking system (Noldus Information Technology, Wageningen, The Netherlands). After 20 min of acclimation, larvae movement was recorded repeating three cycles of 10 min of light and 10 min of dark^{29 (link)}. Locomotor activity was analyzed using Ethovision 11 software (Noldus Information Technology, Wageningen, The Netherlands).

Laquatra C., Sanchez-Martin C., Dinarello A., Cannino G., Minervini G., Moroni E., Schiavone M., Tosatto S., Argenton F., Colombo G., Bernardi P., Masgras I, & Rasola A. (2021). HIF1α-dependent induction of the mitochondrial chaperone TRAP1 regulates bioenergetic adaptations to hypoxia. Cell Death & Disease, 12(5), 434.

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Behavioral Analysis of Psen2 Mutant Zebrafish

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For behavioral assays, 12 8-dpf WT and psen2^−/− larvae were placed in 24-well plates, one larva per well with 2 mL of fish water, and images were recorded with the DanioVision tracking system (Noldus Information Technology, Wageningen, The Netherlands). After 30 min of acclimation, larvae movement was recorded during the administration of a repetitive tapping stimulus (one tap every second for 60 s, maximal intensity of stimulus). Locomotor activity was analyzed using Ethovision 11 software (Noldus Information Technology, Wageningen, The Netherlands).

Barazzuol L., Cieri D., Facchinello N., Calì T., Washbourne P., Argenton F, & Pizzo P. (2023). Unraveling Presenilin 2 Functions in a Knockout Zebrafish Line to Shed Light into Alzheimer’s Disease Pathogenesis. Cells, 12(3), 376.

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