From a7f5a8b43fe42c4db386381897cbb1002f123c1b Mon Sep 17 00:00:00 2001 From: "W. Trevor King" Date: Wed, 12 Jun 2013 23:36:31 -0400 Subject: [PATCH] hooke/main.tex: Rework lead-in paragraph to avoid 'uninteresting' --- src/hooke/main.tex | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) 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} -- 2.26.2