diff options
| -rw-r--r-- | acquisition/hardware_inheritance.png | bin | 0 -> 53143 bytes | |||
| -rw-r--r-- | presentation.cls | 1 | ||||
| -rw-r--r-- | presentation.pdf | bin | 813099 -> 1331020 bytes | |||
| -rw-r--r-- | presentation.tex | 106 | 
4 files changed, 95 insertions, 12 deletions
| diff --git a/acquisition/hardware_inheritance.png b/acquisition/hardware_inheritance.pngBinary files differ new file mode 100644 index 0000000..ac1f229 --- /dev/null +++ b/acquisition/hardware_inheritance.png diff --git a/presentation.cls b/presentation.cls index cbf9b48..873b605 100644 --- a/presentation.cls +++ b/presentation.cls @@ -20,6 +20,7 @@  \RequirePackage{enumerate}  \RequirePackage{soul}  \sethlcolor{yellow} +\RequirePackage{verbatim}  %\renewcommand{\familydefault}{\sfdefault}  \RequirePackage[cm]{sfmath} diff --git a/presentation.pdf b/presentation.pdfBinary files differ index 7e287ba..b840c9f 100644 --- a/presentation.pdf +++ b/presentation.pdf diff --git a/presentation.tex b/presentation.tex index 97bd9de..9f4a3f1 100644 --- a/presentation.tex +++ b/presentation.tex @@ -5,7 +5,6 @@  \institute{University of Wisconsin--Madison}
  \date{2018-04-23}
 -%\subject{}
  \begin{document}
  \maketitle
 @@ -34,28 +33,62 @@    What am I doing in a field so rich with fundamental studies?
    \vspace{\baselineskip} \\
    I hope to convince you that CMDS can be used for analytical work.  % TODO: better
 +  \begin{itemize}
 +    \item detection (selectivity)
 +    \item unknown identification
 +    \item quantification
 +  \end{itemize}
  \end{frame}
  % TODO: in fact, 2DIR is already used regularly...
 -\begin{frame}{Analytical}  
 +\begin{frame}{Pakoulev et al. (2009)}  
    \fbox{\adjincludegraphics[width=\textwidth]{literature/PakoulevAndreiV2009a}}
  \end{frame}
 -% TODO: pakoulev quotes
 +\begin{frame}{Pakoulev et al. (2009)}
 +  \begin{shadequote}
 +    Spectroscopy forms the heart of the analytical methodology used for routine chemical
 +    measurement.  %
 +    Of all the analytical spectroscopic methods, NMR spectroscopy is unique in its ability to
 +    \hl{correlate} spin resonances and \hl{resolve} spectral features from spectra containing
 +    \hl{thousands of peaks}.  %
 +    For example, heteronuclear multiple quantum coherence (HMQC) spectroscopy achieves this
 +    capability by exciting $^1$H, $^{15}$N, $^{13}$ C=O, and $^{13}$C$\alpha$ spins to form a
 +    multiple quantum coherence \hl{characteristic of a specific position} in a protein’s backbone.
 +    Three excitations define a specific residue, and a fourth defines the coupling to an adjacent
 +    residue.
 +    Not only does it decongest the spectra, it defines the couplings and connectivity between the
 +    different nuclear spin states.
 +    Coherent multidimensional spectroscopy (CMDS) has emerged as the \hl{optical analogue} of
 +    nuclear magnetic resonance (NMR), and there is great interest in using it as a \hl{general
 +      analytical methodology}.
 +  \end{shadequote}
 +\end{frame}
 -\begin{frame}{Proteomics}
 -  \fbox{\adjincludegraphics[width=\textwidth]{literature/FournierFrederic2009a}}
 +\begin{frame}{Donaldson et al. (2010)}
 +  \fbox{\adjincludegraphics[width=\textwidth]{literature/DonaldsonPaulMurray2010a}}
  \end{frame}
 -% TODO: fournier quotes
 +\begin{frame}{Fournier et al. (2009)}
 +  \fbox{\adjincludegraphics[width=\textwidth]{literature/FournierFrederic2009a}}
 +\end{frame}
 -\begin{frame}{Proteomics}
 -  \fbox{\adjincludegraphics[width=\textwidth]{literature/DonaldsonPaulMurray2010a}}
 +\begin{frame}{Fournier et al. (2009)}
 +  \begin{shadequote}
 +    Our protein identification strategy is based on using EVV 2DIR to quantify the amino acid
 +    content of a protein.  %
 +    EVV 2DIR is shown to be able to perform \hl{absolute quantification}, something of major
 +    importance in the field of proteomics but rather difficult and time-consuming to achieve with
 +    mass spectrometry.  %
 +    Our technique can be qualified as a top-down \hl{label-free} method; it does not require
 +    intensive sample preparation, the proteins are intact when analyzed, and it does not have any
 +    mass restriction on the proteins to be analyzed.  %
 +    Moreover, EVV 2DIR is a \hl{nondestructive} technique; the samples can be kept for reanalysis
 +    in the light of further information.  %
 +  \end{shadequote}
  \end{frame}
 -% TODO: donaldson quotes
 -  
  \section{Frequency domain}  % =====================================================================
  \begin{frame}{Domains of CMDS}
 @@ -67,7 +100,8 @@  \end{frame}
  \begin{frame}{Time domain}
 -  Multiple broadband pulses are scanned in \emph{time} to collect a multidimensional interferogram.
 +  Multiple broadband pulses are scanned in \emph{time} to collect a multidimensional interferogram
 +  (analogous to FTIR, NMR).
    \vspace{\baselineskip} \\
    A local oscillator must be used to measure the \emph{phase} of the output.
    \vspace{\baselineskip} \\
 @@ -139,21 +173,64 @@  \end{frame}
  \begin{frame}{Universal format}
 +  WrightTools defines a \emph{universal file format} for CMDS.
 +  \begin{itemize}
 +    \item store multiple multidimensional arrays
 +    \item metadata
 +  \end{itemize}
 +  Import data from a variety of sources.
 +  \begin{itemize}
 +    \item previous Wright Group acquisition software
 +    \item commercial instruments (JASCO, Shimadzu, Ocean Optics)
 +  \end{itemize}
  \end{frame}
  \begin{frame}{Flexible data model}
 +  Flexibility to transform into any desired ``projection'' on component variables.
 +  \adjincludegraphics[width=\textwidth]{processing/fringes_transform}
 +  % mention: including expressions
  \end{frame}
  \section{Acquisition}  % ==========================================================================
  \begin{frame}{Acquisition}
 -  PyCMDS.
 +  PyCMDS---unified software for controlling hardware and collecting data.
 +  \adjincludegraphics[width=\textwidth]{acquisition/screenshots/000}
  \end{frame}
 +\begin{frame}{Abstraction}
 +  Hardware---something that has a \hl{position} that can be \hl{set}.
 +  \vspace{\baselineskip} \\
 +  Sensor---something that has a \hl{signal} that can be \hl{read}.
 +\end{frame}
 +  
  \begin{frame}{Modular hardware model}
 +  \adjincludegraphics[scale=0.25]{acquisition/hardware_inheritance}
 +\end{frame}
 +
 +\begin{frame}{Modular sensor model}
 +  Can have as many sensors as needed.
 +  \vspace{\baselineskip} \\
 +  Each sensor contributes one or more channels.
 +  \vspace{\baselineskip} \\
 +  Sensors with size contribute new variables (dimensions).
  \end{frame}
 +\begin{frame}{Central loop}
 +  Set, wait, read, wait, repeat.
 +  \vspace{\baselineskip} \\
 +  Everything is multi-threaded (simultaneous motion, simultaneous read).
 +\end{frame}
 +  
  \begin{frame}{Acquisitions}
 +  Acquisition---a particular set of actions.
 +  \vspace{\baselineskip} \\
 +  Acquisition modules---a GUI that accepts a user instruction.
 +\end{frame}
 +
 +\begin{frame}{Queue}
 +  Queue.
 +  \adjincludegraphics[width=\textwidth]{acquisition/screenshots/004}
  \end{frame}
  \begin{frame}{Queue}
 @@ -169,6 +246,11 @@  \begin{frame}{Tuning}
  \end{frame}
 +\section{Conclusion}  % ===========================================================================
 +
 +\begin{frame}{Conclusion}
 +\end{frame}
 +
  \section{Supplement}  % ===========================================================================
  \begin{frame}{MR-CMDS theory}
 | 
