Deconvolution method for accurate determination of overlapping peak areas in chromatograms

Nelson, Thomas

doi:10.1016/0021-9673(91)85149-a

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…These separations could in principle be separated by deconvolution - e.g. fitting summed Gaussian functions to the data and solving for 3 n parameters (position, width and height) for each peak, where n is the number of separations and must be small [37]. However, unless the number n of separations is known, the complex dependence on the SNR of FLIP-derived distributions makes their resolution by deconvolution challenging - as it depends on numerous assumptions and requires numerous parameters to be determined and adjusted empirically for each data set.…”

Section: Resultsmentioning

confidence: 99%

Measuring EGFR Separations on Cells with ∼10 nm Resolution via Fluorophore Localization Imaging with Photobleaching

et al. 2013

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Detecting receptor dimerisation and other forms of clustering on the cell surface depends on methods capable of determining protein-protein separations with high resolution in the ∼10–50 nm range. However, this distance range poses a significant challenge because it is too large for fluorescence resonance energy transfer and contains distances too small for all other techniques capable of high-resolution in cells. Here we have adapted the technique of fluorophore localisation imaging with photobleaching to measure inter-receptor separations in the cellular environment. Using the epidermal growth factor receptor, a key cancer target molecule, we demonstrate ∼10 nm resolution while continuously covering the range of ∼10–80 nm. By labelling the receptor on cells expressing low receptor numbers with a fluorescent antagonist we have found inter-receptor separations all the way up from 8 nm to 59 nm. Our data are consistent with epidermal growth factor receptors being able to form homo-polymers of at least 10 receptors in the absence of activating ligands.

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Section: Resultsmentioning

confidence: 99%