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Adaptive spatial filtering for off-axis digital holographic microscopy based on region-recognition approach with iterative thresholding

He, Xuefei; Nguyen, Chuong; Pratap, Mrinalini; Zheng, Yujie; Wang, Yi; Nisbet, David; Rug, Melanie; Maier, Alex; Lee, Woei Ming (Steve)

Description

Here we propose a region-recognition approach with iterative thresholding, which is adaptively tailored to extract the appropriate region or shape of spatial frequency. In order to justify the method, we tested it with different samples and imaging conditions (different objectives). We demonstrate that our method provides a useful method for rapid imaging of cellular dynamics in microfluidic and cell cultures.

dc.contributor.authorHe, Xuefei
dc.contributor.authorNguyen, Chuong
dc.contributor.authorPratap, Mrinalini
dc.contributor.authorZheng, Yujie
dc.contributor.authorWang, Yi
dc.contributor.authorNisbet, David
dc.contributor.authorRug, Melanie
dc.contributor.authorMaier, Alex
dc.contributor.authorLee, Woei Ming (Steve)
dc.coverage.spatialAdelaide, Australia
dc.date.accessioned2018-11-30T01:19:52Z
dc.date.available2018-11-30T01:19:52Z
dc.date.createdOctober 17-19 2016
dc.identifier.isbn9781510604346
dc.identifier.urihttp://hdl.handle.net/1885/154218
dc.description.abstractHere we propose a region-recognition approach with iterative thresholding, which is adaptively tailored to extract the appropriate region or shape of spatial frequency. In order to justify the method, we tested it with different samples and imaging conditions (different objectives). We demonstrate that our method provides a useful method for rapid imaging of cellular dynamics in microfluidic and cell cultures.
dc.format.mimetypeapplication/pdf
dc.publisherSPIE - The International Society for Optical Engineering
dc.relation.ispartofseriesSPIE Biophotonics Australasia
dc.sourceProceedings of SPIE, Conference Volume 10013
dc.source.urihttps://spie.org/BAU/conferencedetails/biophotonics-australasia
dc.titleAdaptive spatial filtering for off-axis digital holographic microscopy based on region-recognition approach with iterative thresholding
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2016
local.identifier.absfor090606 - Photonics and Electro-Optical Engineering (excl. Communications)
local.identifier.absfor090303 - Biomedical Instrumentation
local.identifier.ariespublicationu5117155xPUB99
local.type.statusPublished Version
local.contributor.affiliationHe, Xuefei, College of Engineering and Computer Science, ANU
local.contributor.affiliationNguyen, Chuong, College of Engineering and Computer Science, ANU
local.contributor.affiliationPratap, Mrinalini, College of Science, ANU
local.contributor.affiliationZheng, Yujie, ANU College of Law, ANU
local.contributor.affiliationWang, Yi, College of Engineering and Computer Science, ANU
local.contributor.affiliationNisbet, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationRug, Melanie, College of Science, ANU
local.contributor.affiliationMaier, Alex, College of Science, ANU
local.contributor.affiliationLee, Woei Ming (Steve), College of Engineering and Computer Science, ANU
local.identifier.doi10.1117/12.2242876
local.identifier.absseo970110 - Expanding Knowledge in Technology
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2018-11-29T08:22:48Z
local.identifier.scopusID2-s2.0-85011320207
local.identifier.thomsonID000394526200034
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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