FreezeFrame, the first video-based system for fear conditioning, has become the standard in its field. It combines the sensitivity of the human observer with the objectivity and high throughput of automation. While infrared beams can detect gross movements of an animal from one part of the cage to another, FreezeFrame can detect the minute movements of grooming, sniffing, turning and rearing. And FreezeFrame monitors the animal 2-4 times per second, not once every 5 seconds, for far more objective and reproducible results. FreezeFrame can also collect and process data for learned helplessness experiments, including Tail Suspension and the Porsolt Forced Swim Test.
Not a tracking system. A proprietary motion detection algorithm filters out shadows, light flicker and camera noise, and detects movements as small as 1 mm.
Superior low-light performance.
Fully validated. Greater than 90% concordance between FreezeFrame and trained human observers.
Multiple stimulus protocols can be stored and called up instantly for training and testing phases of the experiments.
Store video images for later review. Export QuickTime and AVI movies for presentation.
Batch export data and analyses directly to an open Excel spreadsheet. Analyze % freezing, number of bouts, bout duration and intervals for specified periods.
Sounds (white noise or pure tone) are delivered through the computer's sound card. Multiple sounds of different amplitude, frequency and quality (tone/noise or continuous/pulsing) can be delivered at different times during single trial. The shocker-scrambler is controlled directly from the computer, along with additional stimuli such as lights or external sound generators.
4-, 8- and 12- channel systems allow high-throughput testing.