Neurological dysfunction can be assessed by analysing footprint patter
ns 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 co
nsiderably quicker than manual scoring methods. The prints are scanned
at a resolution of 75 dpi and stored as black and white bitmaps for f
urther analysis. In order to validate the program, we analysed the foo
tprint patterns of mice and rats, using both the program and the conve
ntional manual scoring method. In the first study, the walking pattern
s of 3-, 14-, and 26-month-old Janvier Wistar rats were compared, and
in the second the footprint patterns of C57BL mice were assessed. Comp
arison of the data obtained using the program and of the data obtained
by manual scoring showed that the computer-based analysis gives relia
ble results. The program saves considerable time as the analysis took
1/8th of the time needed for manual evaluation. (C) 1997 Elsevier Scie
nce B.V.