First published online February 20, 2004
Journal of Experimental Biology 207, 1203-1216 (2004)
Published by The Company of Biologists 2004
doi: 10.1242/jeb.00881
Measurement of cell velocity distributions in populations of motile algae
V. A. Vladimirov1,
M. S. C. Wu2,
T. J. Pedley3,*,
P. V. Denissenko1 and
S. G. Zakhidova1
1 Department of Mathematics, University of Hull, Cottingham Road, Hull HU6
7RX, UK
2 Department of Biology, Hong Kong University of Science and Technology,
Clear Water Bay, Kowloon, Hong Kong
3 Department of Applied Mathematics and Theoretical Physics, University of
Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK

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Fig. 1. (A) Experimental setup. (B) Test tube.
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Fig. 2. (A) Typical image of swimming cells. The white vertical bars represent the
walls of the test tube, which is 1 cm wide. (B) Composite image from the 21
images acquired in a burst: algal tracks are clearly seen; the short straight
vertical tracks are made by sedimenting dust particles.
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Fig. 3. Typical scatter plot of vertical and horizontal velocities of the cells
detected within a burst. Cells clearly swim upwards on average.
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Fig. 4. Time evolution of the cells' distribution by two-dimensional projections of
velocities onto xz plane. Contour plots of the
probability density function (see Equation 5) at six time instants. The
difference between colour levels is 0.00015 s2
µm2. In the 20 min plot, where the number of motile cells
that had reached the observation area is small, the peak corresponding to
suspended dust particles is seen. On later images, where the number of active
swimmers is large enough, this peak vanishes.
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Fig. 7. Averaged (A) absolute projected velocity Vp, (B)
vertical velocity Vz and (C) horizontal velocity
Vx, calculated separately for the tracks detected in the
different quarters of the observation area (compare with
Fig. 6). Broken bold lines
correspond to the upper right quarter, broken thin line to the upper left
quarter, solid bold line to the lower right quarter and solid thin line to the
lower left quarter of the observation area. As expected, faster swimmers (ones
with higher vertical and projected velocities) are located further from the
injection point at the bottom of the test tube.
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Fig. 8. Average parameters based on different parts of tracks (compare with
Fig. 6). Thin lines correspond
to data based on the four-point track fragments from frames 46,
69, 912 of the bursts; thicker lines correspond to frames
1215, 1518, 1821 (boldest). Observe that the three thin
lines indicating mean velocities almost coincide, i.e. the photokinetic
response starts to develop around 10 s after the laser is switched on. The
symbols correspond to the average parameters measured in the runs with laser
intensity ten times higher than in the standard experiments.
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Fig. 14. Autocorrelation of the cells' swimming direction (projected onto the
xz plane) calculated for the tracks detected in seven
experimental runs separately (Equation 16). The broken line corresponds to the
run that turned out to be invalid. Solid lines connect points related to one
run. The exponential decrease of correlation with time is typical for
random walk processes.
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© The Company of Biologists Ltd 2004