hooke/main.tex: Rework lead-in paragraph to avoid 'uninteresting'

diff --git a/src/hooke/main.tex b/src/hooke/main.tex
index 1b0d8f1f55aabc845e08553c5beb7d93c30e9d72..1b81858e6e2b8c3d36a7df31a723c2cca3c67139 100644 (file)
--- a/src/hooke/main.tex
+++ b/src/hooke/main.tex
@@ -1,13 +1,14 @@
 \chapter{Data analysis with \Hooke}
 \label{sec:hooke}
 
-Unfolding force curves acquired with the \pyafm\ stack
-(\cref{sec:pyafm}) are not usually interesting in their own right.  To
-analyze them in bulk, we need unfolding force histograms.  These
-experimental histograms can then be used for fitting simulated models
-with \sawsim\ (\cref{sec:sawsim}).  In this chapter, I'll discuss the
-histogram extraction procedure and the \Hooke\ package that
-facilitates it.
+Individual unfolding force curves acquired with the \pyafm\ stack
+(\cref{sec:pyafm}) are hard to compare with other experimental data.
+One way to analyze them in bulk is to extract unfolding force
+histograms.  These experimental histograms can then be used for
+fitting simulated models with \sawsim\ (\cref{sec:sawsim}), and the
+model fitting parameters will summarize the kinetic behavior.  In this
+chapter, I'll discuss the histogram extraction procedure and the
+\Hooke\ package that facilitates it.
 
 \input{hooke/history}
 \input{hooke/drivers}