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Silicon chips were placed on the bottom electrodes and the electrostatically captured particles were counted as a function of flow rates, electrode positions, bias voltages, and capture times by epifluorescent images and scanning electron micrographs (SEMs).
At least 200 particles were counted, per sample.
Normally, 500 or more particles were counted to determine the size distribution of each sample.
Particles were counted by flow cytometry.
Gold particles were counted within each region of interest after high pass filtering of the images and by using an automated peak search algorithm (Imaging Science, Berlin, Germany).
To quantify the radial variation of the labelling density within the nucleus, the HC domain was contoured and the gold particles were counted in concentric rings of decreasing size, each separated by 150 nm (Figure 8).
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The area of the cells was determined by point-counting morphometry, and the number of gold particles was counted.
The particles are counted automatically; an increase is a sign that an attack has occurred.
The number of fluorescent particles was counted in randomly selected images of synchronously infected cells by an independent person.
The percentage of mitochondria overlain with gold particles was counted for each cell type in Plp1tg.
Thus it is likely that some slowly moving particles are counted by PCH, but do not influence FCS autocorrelation curves.
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