An image processing application for quantitative cross-correlative microscopy for large cell-populations: a gold nanoparticle radiosensitisation study

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dc.contributor.authorTurnbull, T.
dc.contributor.authorDouglass, M.
dc.contributor.authorBezak, E.
dc.contributor.authorThierry, B.
dc.contributor.authorKempson, I.
dc.date.issued2017
dc.description.abstractA robust analysis script was developed in MATLAB for cross-correlative quantification of internalised gold nanoparticle (AuNP) uptake in a large number of individual cells with the corresponding number of DNA double-strand breaks (DSBs) in the same cells. The correlation of inorganic NP content with a biological marker at the single-cell level will aid in the elucidation of mechanisms of NP radiosensitisation. PC-3 cells were co-cultured with AuNPs and irradiated using an iridium-192 source. AuNP uptake was measured using synchrotron X-ray fluorescence (XRF) and DSBs imaged via confocal microscopy. MATLAB 2016a was used to develop a script to cross-correlate the two imaging modalities and quantify both DSBs and internalised AuNP content in the same cell. Various user-defined options written into the script give a high degree of versatility, which can account for a large number of variables in experimental parameters and data acquisition. The analysis procedure is flexible and robust, which gives consistent consideration to the wide spectrum of potential input image/data sets. Quantitative correlative microscopy was achieved with a custom MATLAB script used to correlate γH2AX foci (a marker of DNA DSBs) from confocal microscopy with AuNP content acquired using synchrotron XRF at the single-cell level. The script can be extended to a broad range of multi-modality imaging spectroscopies.
dc.description.statementofresponsibilityTyron Turnbull, Michael Douglass, Eva Bezak, Benjamin Thierry and Ivan Kempson
dc.identifier.citationPowder Diffraction, 2017; 32(S2):S33-S37
dc.identifier.doi10.1017/S0885715617000719
dc.identifier.issn0885-7156
dc.identifier.issn1945-7413
dc.identifier.orcidDouglass, M. [0000-0002-3862-2644]
dc.identifier.orcidBezak, E. [0000-0002-1315-1735]
dc.identifier.urihttp://hdl.handle.net/2440/118176
dc.language.isoen
dc.publisherInternational Centre for Diffraction Data
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1045841
dc.rights© International Centre for Diffraction Data 2017
dc.source.urihttps://doi.org/10.1017/s0885715617000719
dc.subjectRadiation damage evaluation methods; image processing; X-ray fluorescence (XRF) systems; imaging spectroscopy
dc.titleAn image processing application for quantitative cross-correlative microscopy for large cell-populations: a gold nanoparticle radiosensitisation study
dc.typeJournal article
pubs.publication-statusPublished

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