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SUMMARY:Chemometrics for the description and modeling of advanced spectros
 copy data
DTSTART:20140521T101500
DTEND:20140521T111500
DTSTAMP:20260503T095937Z
UID:ee35e0b6ef4bb4a61bbdc8a4593d83faea52492b98b1c96f46b7e66f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Cyril Ruckebusch\nAbstract\nIn this presentation\, we emphasiz
 e on the application of chemometric approaches in ultrafast spectroscopy a
 nd super-resolution imaging. From the measurement\, chemometric analysis i
 nvolves i) preprocessing steps\, such as baseline correction or artifact e
 limination\, ii) exploratory steps\, involving data representation\, iii) 
 soft-modeling\, to provide data description\, and\, iv) data fitting\, fro
 m the postulation of a reasonable model resulting from the previous steps.
 \nWe first review the application of multivariate curve resolution for the
  analysis of ultrafast time-resolved spectroscopy data\, to recover the ti
 me dependent profiles and the transient spectra related to the photochemic
 al species involved in the reaction dynamics. We then tackle current issue
 s in single-molecule super-resolution fluorescence imaging\, where the ren
 dered image directly depends on the algorithm and method chosen for data a
 nalysis.\nBio: Prof. Ruckebusch's research focuses on methodological devel
 opments and applications in the field of chemometrics for the treatment of
  multivariate spectroscopic data. His goal is the characterization and und
 erstanding of reactions or complex molecular mechanisms by time-resolved s
 pectroscopy coupled to specific methods for analyzing mixtures (multivaria
 te curve resolution)\, in particular the study of photoinduced processes o
 f molecules / innovative photochromic systems. In parallel\, he works at t
 he development of multivariate models (multivariate calibration) in analyt
 ical spectroscopy for the quantitative prediction or classification of com
 plex samples.
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STATUS:CONFIRMED
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