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SUMMARY:ProSpecPy: Streamlining FTIR Spectroscopy Data Processing - Anshul
  Tambay - University of Washington and Elizabeth Phillips - Grantham Insti
 tute\, Imperial College London
DTSTART:20250130T130000Z
DTEND:20250130T140000Z
UID:TALK226642@talks.cam.ac.uk
CONTACT:Jack Atkinson
DESCRIPTION:Hydrogenases are a group of enzymes that catalyze the reversib
 le reduction of protons to hydrogen. They are extremely efficient\, with t
 urnover frequencies that rival the most efficient metal catalysts (Pt or P
 d)\, using earth abundant metals (Ni or Fe) at their active sites. As such
 \, hydrogenases have attracted attention as inspiration for catalyst desig
 n in scaled-up alternative fuel development. Researchers who use Fourier T
 ransform infrared (FTIR) spectroscopy to investigate catalytic mechanisms 
 of enzymes spend a significant amount of time in processing data. At prese
 nt\, the data processing workflow takes 3 person hours per sample\, 1.5 ho
 urs per researcher\, with 2 people processing the data to ensure accuracy.
 \nProSpecPy is a Python package which streamlines and automates data proce
 ssing of such FTIR spectroscopy data. The resulting workflow offers a stan
 dardized\, easily documented\, and reproducible workflow for the manipulat
 ion of these data\, through Jupyter Notebooks. The current version reduces
  processing time per sample from 90 to 15 minutes\, a ~78% reduction.
LOCATION:Rayleigh Seminar Room\, Maxwell Centre\, West Cambridge
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