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BSA Flow Software Installation and User's Guide - CSI

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volume is calculated for the class i as<br />

π<br />

∑ 6 1<br />

= j i<br />

j=<br />

cum<br />

Vi<br />

=<br />

V<br />

(see above).<br />

n D<br />

7.10.3 Curve fitting for histograms<br />

i<br />

3<br />

i<br />

× 100 where V is the total equivalent volume of liquid<br />

<strong>BSA</strong> flow software includes distribution curve fit to help using measurement<br />

results for numerical simulations.<br />

The distribution curve fits P(x)<br />

are calculated from the displayed<br />

histograms meaning that the X <strong>and</strong> Y scaling modify the curve fit results.<br />

When copying the equation P(x)<br />

from the hisotgram object (see chapter<br />

5.10 Histogram), the equation is the curve fit Probability Density Function<br />

(pdf). For histogram in count, P (x)<br />

has to be multiplied by ∆ x × N<br />

And for histogram in %, P(x) has to be multiplied by ∆x × 100 where<br />

∆x<br />

is the bin width.<br />

Mean <strong>and</strong> st<strong>and</strong>ard<br />

deviation m <strong>and</strong> s is the mean <strong>and</strong> the st<strong>and</strong>ard deviation <strong>and</strong> µ <strong>and</strong> σ are the mean<br />

<strong>and</strong> the st<strong>and</strong>ard deviation of the variable’s logarithm. They are calculated<br />

from the histograms where Ni the number of size classes (bins), ni the<br />

number of particles in each size class <strong>and</strong> N the total number of particles.<br />

Note that, in case the Probe Volume Correction is applied ni,<br />

is replaced by<br />

cor<br />

the corrected particle number n (refer to chapter 7.11.3)<br />

1<br />

m =<br />

N<br />

1<br />

Ni<br />

∑<br />

i=<br />

1<br />

i i x n<br />

i<br />

s =<br />

1<br />

N<br />

Ni<br />

∑<br />

i=<br />

1<br />

Ni<br />

Ni<br />

µ = ∑ ( ni<br />

ln( x))<br />

σ = ∑ N i=<br />

1<br />

N i=<br />

1<br />

1<br />

( n ( x − m)<br />

i<br />

( n (ln( x)<br />

− µ )<br />

Normal distribution The normal distribution curve fitting can be applied to any type of histogram<br />

data (count, % or pdf). The formula (pdf) is<br />

Log-Normal<br />

1<br />

P(<br />

x)<br />

= e<br />

s 2π<br />

2 2<br />

−(<br />

x−m<br />

) /( 2s<br />

)<br />

distribution The Log-Normal distribution curve fitting can only be applied to size<br />

histograms (count, % or pdf). The formula (pdf) is<br />

Modified Log-Normal<br />

1<br />

P ( x)<br />

= e<br />

xσ<br />

2π<br />

2 2<br />

−(ln(<br />

x)<br />

−µ<br />

) /( 2σ<br />

)<br />

Distribution The Modified Log-Normal distribution curve fitting can only be applied to<br />

size histograms (count, % or pdf). The formula (pdf) is<br />

<strong>BSA</strong> <strong>Flow</strong> <strong>Software</strong>:Reference guide 7-109<br />

i<br />

2<br />

2 )

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