From: W. Trevor King <wking@tremily.us>
Date: Thu, 13 Jun 2013 03:36:31 +0000 (-0400)
Subject: hooke/main.tex: Rework lead-in paragraph to avoid 'uninteresting'
X-Git-Tag: v1.0~99
X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=a7f5a8b43fe42c4db386381897cbb1002f123c1b;p=thesis.git

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

diff --git a/src/hooke/main.tex b/src/hooke/main.tex
index 1b0d8f1..1b81858 100644
--- 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}