Gait analysis was performed at 70 days post-injury using the Catwalk system (Noldus Information Technology, Wageningen, the Netherlands). The software labels paw prints automatically, and raw data were collected and analyzed using Catwalk software (Noldus Information Technology). The speed at which each mouse crossed the Catwalk was standardized for analysis, and at least three consecutive steps were required to analyze one crossing. The following parameters were used to assess mouse gait: maximum variation, standing on a single paw, standing on lateral paws, step sequence, forepaw print area and print width, base of support-front paws, and base of support-hind paws (Hamers et al., 2006).
Catwalk software
Manufactured by Noldus
Catwalk software is a tool for automated gait analysis in laboratory animals. It provides real-time tracking and analysis of animal movement patterns.
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Lab products found in correlation
2 protocols using catwalk software
1
Gait Analysis Using Catwalk System
2
Gait Analysis in Stroke Mouse Model
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Data acquisition: This test was conducted in the dark as mice were required to walk on a glass plate, which was illuminated from below by a fluorescent light. Light enters at the long edge of the plate and is completely internally reflected and escapes only at those areas where the animal’s paw makes a contact. A video camera, positioned underneath the glass plate, captures the illuminated areas and sends the video image to a computer running the CatWalk software (version 7.1, Noldus). All mice underwent training one week prior to receiving a stroke to habituate to the testing environment and procedure. Three runs per mouse were recorded before stroke and on days 1, 2 and 5 post-stroke and the average was used for analysis.
Footprint classification: After acquiring the video images of paw prints, labels were assigned to illuminated areas (right front (RF), right hind (RH), left front (LF), left hind (LH)). Following footprint classification, the CatWalk software automatically calculates a variety of parameters. A series of gait statistics was produced automatically when the system identified and marked each footprint made. We then compared the ipsilateral LF paw to the contralateral RF paw in each animal of sham-operated (IP injection of PBS) and photothrombotic stroke (PTS)-affected mice (IP injection of Rose Bengal).
Footprint classification: After acquiring the video images of paw prints, labels were assigned to illuminated areas (right front (RF), right hind (RH), left front (LF), left hind (LH)). Following footprint classification, the CatWalk software automatically calculates a variety of parameters. A series of gait statistics was produced automatically when the system identified and marked each footprint made. We then compared the ipsilateral LF paw to the contralateral RF paw in each animal of sham-operated (IP injection of PBS) and photothrombotic stroke (PTS)-affected mice (IP injection of Rose Bengal).
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