Hyperactivation is a concomitant of eutherian sperm capacitation, char
acterized by the development of high amplitude flagellar waves with a
corresponding increase in velocity. In humans, kinematic values have b
een derived which describe the movement characteristics of spermatozoa
analysed at 30 images/s. However, these values are frame rate-depende
nt, and modern computer-aided sperm analysis (CASA) instruments used f
or studying sperm movement now use 60 images/s. This study used first-
principles manual track analysis to derive the range of movement chara
cteristics which describe hyperactivated motility of human spermatozoa
at 60 images/s. Standard terminology for centroid-derived movement ch
aracteristics, as recommended by the World Health Organization, was us
ed, US-standard (NTSC) video recordings of capacitating human sperm po
pulations were replayed using a noninterlaced freeze-frame video casse
tte recorder, and individual tracks reconstructed on acetate overlays.
Tracks were classified as either forward progressive or hyperactivate
d based upon flagellar beating patterns, then reconstructed manually a
t X3540 and analysed using both manual methods and basic geometric cal
culations from (x, y) coordinates (Cartesian methods) similar to those
used by CASA instruments, In all, 40 hyperactivated and 40 forward pr
ogressive tracks were studied, A set of Boolean arguments defining hyp
eractivated motility was derived, and there was generally good agreeme
nt between the limits derived by manual and Cartesian methods, The lim
its for the definition of hyperactivated motility of human spermatozoa
at 60 Hz derived by Cartesian methods were: curvilinear velocity grea
ter than or equal to 180 mu m/s AND linearity less than or equal to 45
% AND wobble <50% AND amplitude of lateral head displacement ALH(mean)
>6.0 mu m OR ALH(max) >10.0 mu m. The same limits were derived by man
ual methods, except for ALH(max) >7.0 mu m. It is suggested that the m
anually derived limits be applied in CASA instruments which use adapti
ve smoothing programs to derive the average path.