Elegant imaging systems have been developed for the automated analysis of behavior in zebrafish larvae. Some of these systems are now commercially available. For example, both Noldus and ViewPoint have developed efficient imaging systems for the automated analysis of larval activity in 96-well plates. The automated imaging system developed by Noldus Information Technology includes a DanioVision observation chamber and EthoVision software (see
http://www.noldus.com). The EthoVision software has for example been used to isolate seizure-resistant zebrafish larvae in a large-scale mutagenesis screen (
Baraban et al., 2007) and to examine the effects of lighting conditions and alcohol on larval activity (
MacPhail et al., 2009). The automated imaging system developed by ViewPoint includes a ZebraBox imaging system and ZebraLab software (see
http://www.viewpointlifesciences.com). This system has been used for measuring circadian rhythms in zebrafish larvae (
Prober et al., 2006) and for a high-throughput small molecule screen to identify drugs that alter sleep-wake behaviors of zebrafish larvae (
Rihel et al., 2010). For practical information on how to use this system for measuring larval locomotor activity, see the video published by Emran et al. (
Emran et al., 2008). The Noldus and ViewPoint systems are both equipped with infrared illumination for imaging in the dark and can thus be used to examine the effect of light-dark cycles in a multiwell format. This feature also enables both systems to be used to monitor changes in sleep patterns that may co-occur with chronic anxiety and stress. The imaging systems record larval activity in all 96 wells simultaneously, using one larva per well. Future developments may make it possible to automatically track multiple larvae in a single well, to acquire information on larval orientation, and to provide local stimuli in the multiwell plates. These innovations would pave the way for automated analyses of social behaviors and more detailed analyses of the swimming patterns in response to specific threats and stimuli previously associated with these threats.
Various laboratories have developed custom-built systems for automated measurements of larval location, orientation, and bending angles. For example, Burgess and Granato developed an imaging system with a high-speed 1000 frames per second camera and custom-written kinematic analysis software, to identify the position, orientation, and curvature of 6–7 dpf larvae during the startle response (
Burgess and Granato, 2007a,
b). Approximately 30 larvae were imaged simultaneously for a 0.4 – 1 second period in a 6 cm dish. The images are acquired at a sufficient resolution (0.25 megapixels) to identify the orientation of the tail, trunk, and head segments by automated image analysis. A high-speed 1000 frames per second camera has also been used to examine the escape response of individual larvae triggered by touching the tail (
McLean et al., 2008). In this case, the bending at different places along the body was automatically quantified by custom-written software that tracked three regions along the midline of the 4–5 dpf zebrafish larvae. Thus, both systems are geared towards brief periods of highspeed imaging to quantify parameters of the fast escape response. On the other side of the spectrum is a high-resolution imaging system that monitors zebrafish larvae in time-lapse mode using a 9 megapixel camera (
Colwill and Creton, 2010;
Creton, 2009). The spatial resolution of this imaging system makes it possible to measure the location and orientation of zebrafish larvae in multiwell plates (). In addition, threatening stimuli can be presented to the larvae on an LCD screen, which makes this system well-suited for studying escape and avoidance behaviors. An alternative approach to such high-resolution recordings is to use a microscope and image one well at a time. Such microscopes can be equipped with a motorized stage to automatically move from one well to the next. This approach was used successfully in a largescale screen for small molecules that affect a light-induced startle response in zebrafish embryos (
Kokel et al., 2010).