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SUMMARY:Objective clustering algorithm applied to single-molecule FCP data
DTSTART;VALUE=DATE-TIME:20260326T102000Z
DTEND;VALUE=DATE-TIME:20260326T104000Z
DTSTAMP;VALUE=DATE-TIME:20260425T232449Z
UID:indico-contribution-10323@events.saip.org.za
DESCRIPTION:Speakers: Michael Lovemore (Univeristy of the Witwatersrand)\n
 Bulk spectroscopic measurements of photosynthetic light-harvesting complex
 es report ensemble-averaged properties that often obscure the heterogeneit
 y and dynamic behaviour present at the level of individual complexes. Sing
 le-molecule fluorescence spectroscopy provides access to this hidden compl
 exity through measurements of fluorescence intensity and lifetime\; howeve
 r\, interpreting raw intensity–lifetime distributions can be challenging
  because broad\, overlapping populations frequently appear visually as onl
 y one or two states. Fucoxanthin chlorophyll protein (FCP) is the major li
 ght-harvesting complex of diatoms and contains Lhcx subunits that are impl
 icated in photoprotection under high-light conditions. We investigated the
  fluorescence dynamics of FCP complexes under different environmental cond
 itions using single-molecule intensity and lifetime measurements\, perform
 ing a comparative\, pH-dependent study of two FCP types to examine how Lhc
 x modulates the photoprotective behaviour. To objectively extract the unde
 rlying emissive states\, Gaussian mixture model (GMM) clustering was appli
 ed to the intensity–lifetime distributions. The optimal number of cluste
 rs was objectively determined using information criteria (AIC\, BIC\, ICL)
  and cluster-quality metrics to ensure statistical robustness. This approa
 ch revealed multiple emissive states beyond the simple two-state (quenched
 /unquenched) interpretation suggested by visual inspection\, enabling dire
 ct comparison across datasets and highlighting how environmental condition
 s and Lhcx content influence the accessibility and stability of the variou
 s photophysical states within FCP.\n\nhttps://events.saip.org.za/event/272
 /contributions/10323/
LOCATION:
URL:https://events.saip.org.za/event/272/contributions/10323/
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