title: A low-cost method to analyse footprint patterns.
abstract: Neurological dysfunction can be assessed by analysing footprint patterns and walking tracks. However, because such an analysis is very time consuming, we developed an MS-Windows program called FOOTPRINTS which facilitates the analysis of the commonly used measures and which is considerably quicker than manual scoring methods. The prints are scanned at a resolution of 75 dpi and stored as black and white bitmaps for further analysis. In order to validate the program, we analysed the footprint patterns of mice and rats, using both the program and the conventional manual scoring method. In the first study, the walking patterns of 3-, 14-, and 26-month-old Janvier Wistar rats were compared, and in the second the footprint patterns of C57BL mice were assessed. Comparison of the data obtained using the program and of the data obtained by manual scoring showed that the computer-based analysis gives reliable results. The program saves considerable time as the analysis took 1/8th of the time needed for manual evaluation.
authors.affiliation: Institute for Neurobiology, Tropon/Bayer, Cologne, Germany.
authors.forename: K
authors.initials: K
authors.lastname: Klapdor
authors.forename: B G
authors.initials: BG
authors.lastname: Dulfer
authors.forename: A
authors.initials: A
authors.lastname: Hammann
authors.forename: F J
authors.initials: FJ
authors.lastname: Van der Staay
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D003363:Cost Control; D005069:Evaluation Studies as Topic; D005528:Foot / Q000033:anatomy & histology*; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D051381:Rats; D017208:Rats, Wistar; D015203:Reproducibility of Results; D012984:Software; D016138:Walking