diff --git a/tex/thesis.tex b/tex/thesis.tex
index 04a90b1..0c41ace 100644
--- a/tex/thesis.tex
+++ b/tex/thesis.tex
@@ -421,29 +421,27 @@ Thank you to Lex Fridman and Devin Townsend for being awesome and inspirational.
 
 \Gls{act} using \gls{car} T cells have shown promise in treating cancer, but
 manufacturing large numbers of high quality cells remains challenging. Currently
-approved T cell expansion technologies involve \anti-cd{3} and \anti-cd{28}
-\glspl{mab}, usually mounted on magnetic beads. This method fails to
-recapitulate many key signals found \invivo{} and is also heavily licensed by a
-few companies, limiting its long-term usefulness to manufactures and clinicians.
-Furthermore, we understand that highly potent T cells are generally
-less-differentiated subtypes such as central memory and stem memory T cells.
-Despite this understanding, little has been done to optimize T cell expansion
-for generating these subtypes, including measurement and feedback control
-strategies that are necessary for any modern manufacturing process.
+approved T cell expansion technologies involve \acd{3} and \acd{28} \glspl{mab},
+usually mounted on magnetic beads. This method fails to recapitulate many key
+signals found \invivo{} and is also heavily licensed by a few companies,
+limiting its long-term usefulness to manufactures and clinicians. Furthermore,
+highly potent anti-tumor T cells are generally less-differentiated subtypes such
+as \acrlongpl{tcm} and \acrlongpl{tscm}. Despite this understanding, little has
+been done to optimize T cell expansion for generating these subtypes, including
+measurement and feedback control strategies that are necessary for any modern
+manufacturing process.
 
-The goal of this thesis was to develop a microcarrier-based \gls{dms} T cell
-expansion system as well as determine biologically-meaningful \glspl{cqa} and
-\glspl{cpp} that could be used to optimize for highly-potent T cells. In Aim 1,
-we develop and characterized the \gls{dms} system, including quality control
-steps. We also demonstrate the feasiblity of expanding highly-potent memory and
-CD4+ T cells, and showing compatibility with existing \gls{car} transduction
-methods. In aim 2, we use \gls{doe} methodology to optimize the \gls{dms}
-platform, and develop a computational pipeline to identify and model the effect
-of measurable \glspl{cqa} and \glspl{cpp} on the final product. In aim 3, we
-demonstrate the effectiveness of the \gls{dms} platform \invivo{}. This
-thesis lays the groundwork for a novel T cell expansion method which can be used
-in a clinical setting, and also provides a path toward optimizing for product
-quality in an industrial setting.
+The goal of this dissertation was to develop a microcarrier-based \gls{dms} T
+cell expansion system and determine biologically-meaningful \glspl{cqa} and
+\glspl{cpp} that could be used to optimize for highly-potent T cells. In
+\cref{aim1}, we develop and characterized the \gls{dms} system, including
+quality control steps. We also demonstrate the feasiblity of expanding
+high-quality T cells. In \cref{aim2a,aim2b}, we use \gls{doe} methodology to
+optimize the \gls{dms} platform, and develop a computational pipeline to
+identify and model the effect of measurable \glspl{cqa}, and \glspl{cpp} on the
+final product. In \cref{aim3}, we demonstrate the effectiveness of the \gls{dms}
+platform \invivo{}. This thesis lays the groundwork for a novel T cell expansion
+method which can be utilized at scale for a clinical trial and beyond.
 
 \clearpage