sion heterogeneity in rat lungs assessed from the distribution of 4-m-diameter latex particles. J Appl Physiol 94: 420-428, 2003. First published October 11, 2002 10.1152/japplphysiol. 00700.2002.-Pulmonary vascular perfusion has been shown to follow a fractal distribution down to a resolution of 0.5 cm 3 (5E11 m 3 ). We wanted to know whether this distribution continued down to tissue volumes equivalent to that of an alveolus (2E5 m 3 ). To investigate this, we used confocal microscopy to analyze the spatial distribution of 4-m-diameter fluorescent latex particles trapped within rat lung microvessels. Particle distributions were analyzed in tissue volumes that ranged from 1.7E2 to 2.8E8 m 3 . The analysis resulted in fractal plots that consisted of two slopes. The left slope, encompassing tissue volumes less than 7E5 m 3 , had a fractal dimension of 1.50 Ϯ 0.03 (random distribution). The right slope, encompassing tissue volumes greater than 7E5 m 3 , had a fractal dimension of 1.29 Ϯ 0.04 (nonrandom distribution). The break point at 7E5 m 3 corresponds closely to a tissue volume equivalent to that of one alveolus. We conclude that perfusion distribution is random at tissue volumes less than that of an alveolus and nonrandom at tissue volumes greater than that of an alveolus. alveolar perfusion; fluorescent microspheres; fractal analysis; pulmonary blood flow FRACTAL ANALYSIS HAS BEEN used extensively to analyze the distribution of perfusion throughout the lung (3). The method is to infuse 15-m-diameter fluorescent latex particles into the pulmonary circulation and then count the number of trapped particles in blocks of frozen or air-dried lungs (15). The blocks, which range in size from 0.5 mm 3 to 2 cm 3 , are grouped mathematically to allow particle counts to be obtained in successive volumes of tissue that range from single tissue blocks up to groups of blocks on the scale of the whole lung (4). For groups of each volume, the mean and SD of the particle counts are calculated for the blocks that compose the group. A fractal plot is assembled by plotting the log of the coefficient of variation (CV; SD/mean) of the group count against the log of the group tissue volume. When this is done for groups of all volumes, it produces a linear plot that shows that the CV of the particle count increases as the group tissue volume decreases. The linearity of such plots is considered to be evidence of a fractal system, which means that perfusion distribution within the lung follows a fractal pattern. Fractals are complex geometric shapes that exhibit a scale-independent property of self-similarity such that the smallest part, no matter how highly magnified, resembles the whole (11). Using this approach, Glenny and colleagues (4) showed that pulmonary perfusion distribution remained fractal down to a tissue volume of 0.5 cm 3 (5E11 m 3 ).It is interesting to speculate whether or not this pattern continues down to the level of the alveolus. An alveolus with a diameter of 75 m has a volume of 2.2E5 m 3 , but present methods...