The Annals of Applied Statistics , one of the top international journals on the interface of methodological and applied statistics (impact factor 2.448) has recently accepted for publication the manuscript "Semi-parametric dynamic time series modelling with applications to detecting neural dynamics" , by Fabio Rigat and Jim Q.Smith. This paper proposes novel methodology for modeling of streams of experimental data when the dynamics of the systems being studied are not well understood. Several applications are illustrated using neural data, comprising non-invasive electroencephalograms (EEG) recordings, behavioural experiments and in-vivo multiple spike train recordings.

The lab is currently building a 12 Tesla FTICR mass spectrometrer with the following features.

1.  Electrospray ion source.

2.  Focusing quadrupole (Q0) and mass filtering quadrupole (Q1)

3.  Hexapole collision cell with linac extraction electrodes.

4.  Currently a transfer hexapole (H1) is incorporated, but this will be changed to a turning quadrupole in the near future.  See below.

5.  A thin gate valve.

6.  A long transfer hexapole.  This may be changed to a sectioned hexapole for decreased time-of-flight lag effects.

7.  A shimmed, capacitively coupled open cylindrical ICR cell.

 

 

In the near future, several modifications are very likely. 

1.  The transfer hexapole (H1) will be replaced with a couple of hexapoles and a turning quadrupole.

2.  The ESI source will be mounted at 90 degrees from the current arrangement.

3.  One or more other chambers will be added.  In the case below, a MS/MS chamber for MAF, PD, or ETD is included, but it could also be a MALDI source if one is deemed necessary.