Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/19387
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dc.contributor.authorParslow, Adam C-
dc.contributor.authorClayton, Andrew H A-
dc.contributor.authorLock, Peter-
dc.contributor.authorScott, Andrew M-
dc.date2018-08-02-
dc.date.accessioned2018-09-17T01:47:04Z-
dc.date.available2018-09-17T01:47:04Z-
dc.date.issued2018-08-02-
dc.identifier.citationJournal of visualized experiments : JoVE 2018; 138-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/19387-
dc.description.abstractConfocal microscopy provides an accessible methodology to capture sub-cellular interactions critical for the characterization and further development of pre-clinical agents labeled with fluorescent probes. With recent advancements in antibody based cytotoxic drug delivery systems, understanding the alterations induced by these agents within the realm of receptor aggregation and internalization is of critical importance. This protocol leverages the well-established methodology of fluorescent immunocytochemistry and the open source FIJI distribution of ImageJ, with its inbuilt autocorrelation and image mathematical functions, to perform spatial image correlation spectroscopy (ICS). This protocol quantitates the fluorescent intensity of labeled receptors as a function of the beam area of the confocal microscope. This provides a quantitative measure of the state of target molecule aggregation on the cell surface. This methodology is focused on the characterization of static cells with potential to expand into temporal investigations of receptor aggregation. This protocol presents an accessible methodology to provide quantification of clustering events occurring at the cell surface, utilizing well established techniques and non-specialized imaging apparatus.-
dc.language.isoeng-
dc.titleConfocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy.-
dc.typeMultimedia-
dc.typeJournal Article-
dc.identifier.journaltitleJournal of visualized experiments : JoVE-
dc.identifier.affiliationDepartment of Molecular Imaging and Therapy, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationTumour Targeting Laboratory, Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia-
dc.identifier.affiliationSchool of Cancer Medicine, La Trobe University, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medical Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationCentre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology-
dc.identifier.affiliationLIMS Bioimaging Facility, La Trobe Institute for Molecular Science, La Trobe University-
dc.identifier.doi10.3791/57164-
dc.identifier.orcid0000-0002-6656-295X-
dc.identifier.pubmedid30124657-
dc.type.austinJournal Article-
dc.type.austinVideo-Audio Media-
dc.type.austinResearch Support, Non-U.S. Gov't-
local.name.researcherScott, Andrew M
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeMultimedia-
item.openairetypeJournal Article-
crisitem.author.deptMolecular Imaging and Therapy-
crisitem.author.deptOlivia Newton-John Cancer Research Institute-
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