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A new approach for spot detection in total internal reflection fluorescence microscopy

Rezatofighi, Seyed; Hartley, Richard; Hughes, William E

Description

Biological images acquired from fluorescence microscopy-based imaging techniques, such as total internal reflection fluorescence microscopy, generally contain hundreds of subcellular components, appearing in the images as bright spots. Therefore, the first step of analysis of these images usually involves the detection of these bright spots. In this paper, we propose a new approach for spot detection using the h-dome transform along with an adaptive mask obtained from regional information....[Show more]

dc.contributor.authorRezatofighi, Seyed
dc.contributor.authorHartley, Richard
dc.contributor.authorHughes, William E
dc.coverage.spatialBarcelona Spain
dc.date.accessioned2015-12-10T23:16:03Z
dc.date.createdMay 2-5 2012
dc.identifier.isbn9781457718588
dc.identifier.urihttp://hdl.handle.net/1885/64898
dc.description.abstractBiological images acquired from fluorescence microscopy-based imaging techniques, such as total internal reflection fluorescence microscopy, generally contain hundreds of subcellular components, appearing in the images as bright spots. Therefore, the first step of analysis of these images usually involves the detection of these bright spots. In this paper, we propose a new approach for spot detection using the h-dome transform along with an adaptive mask obtained from regional information. Moreover, local gradient information is used in order to distinguish the spots from other structures. To evaluate the performance of our algorithm, we test it on synthetic images and also real TIRFM images and compare our results with those of two recent methods.
dc.publisherConference Organising Committee
dc.relation.ispartofseriesIEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2012)
dc.sourceProceedings - International Symposium on Biomedical Imaging
dc.subjectKeywords: Bright spots; Grayscale morphology; Local gradients; Regional information; Spot detection; Subcellular components; Synthetic images; TIRFM; Total internal reflection fluorescence microscopy; Domes; Fluorescence microscopy; Medical imaging; Refractive inde gray-scale morphology; h-dome transform; Spot detection; TIRFM
dc.titleA new approach for spot detection in total internal reflection fluorescence microscopy
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2012
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationu4334215xPUB1016
local.type.statusPublished Version
local.contributor.affiliationRezatofighi, Seyed, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationHughes, William E, Garvan Institute of Medical Research
local.description.embargo2037-12-31
local.bibliographicCitation.startpage860
local.bibliographicCitation.lastpage863
local.identifier.doi10.1109/ISBI.2012.6235684
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2016-02-24T10:56:51Z
local.identifier.scopusID2-s2.0-84864863344
CollectionsANU Research Publications

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