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Smartphone based automated microparticle analysis system

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dc.contributor.authorRoy, M.-
dc.contributor.authorSeo, D.-
dc.contributor.authorKim, J.-
dc.contributor.authorSeo, S.-
dc.contributor.authorOh, S.-
dc.date.accessioned2023-12-22T08:31:30Z-
dc.date.available2023-12-22T08:31:30Z-
dc.date.issued2015-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8620-
dc.description.abstractCell and microparticle analysis is one of the major task in all pathological labs. The concentration profile, such as red blood cell (RBC), white blood cell (WBC), platelet concentration are the key parameters for early diagnosis of many diseases. However in most laboratories, especially in resource limited settings, this diagnosis are done manually using conventional optical microscope. This manual process is slow and prone to subjective error. In this paper we demonstrate a smartphone based automated cell detection and counting system. The system is based on the lens-free imaging method, which is a compact facility made up of inexpensive components. We evaluated the performance of the system as well as smartphone algorithm by evaluating the concentration of the micro particles of different sizes. This results were then compared with the conventional optical microscope result. The correlation coefficients of this comparisons shows a great agreement between the two modalities. This kind of compact system along with the wireless facility would be a good point of care facility in resource limited settings. ? 2015 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleSmartphone based automated microparticle analysis system-
dc.typeArticle-
dc.identifier.doi10.1109/C3IT.2015.7060226-
dc.identifier.scopusid2-s2.0-84936068817-
dc.identifier.bibliographicCitationProceedings of the 2015 3rd International Conference on Computer, Communication, Control and Information Technology, C3IT 2015-
dc.citation.titleProceedings of the 2015 3rd International Conference on Computer, Communication, Control and Information Technology, C3IT 2015-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAutomation-
dc.subject.keywordPlusBlood-
dc.subject.keywordPlusCells-
dc.subject.keywordPlusCharge coupled devices-
dc.subject.keywordPlusCMOS integrated circuits-
dc.subject.keywordPlusCytology-
dc.subject.keywordPlusDiagnosis-
dc.subject.keywordPlusFlow cytometry-
dc.subject.keywordPlusMicroscopes-
dc.subject.keywordPlusSignal encoding-
dc.subject.keywordPlusAndroid-
dc.subject.keywordPlusAutomated algorithms-
dc.subject.keywordPlusConcentration profiles-
dc.subject.keywordPlusConventional optical microscopes-
dc.subject.keywordPlusCorrelation coefficient-
dc.subject.keywordPlusMicro particles-
dc.subject.keywordPlusSmarphone-
dc.subject.keywordPlusWhite blood cells-
dc.subject.keywordPlusSmartphones-
dc.subject.keywordAuthorAndroid-
dc.subject.keywordAuthorAutomated algorithm-
dc.subject.keywordAuthorCCD-
dc.subject.keywordAuthorCMOS-
dc.subject.keywordAuthorFlow-cytometry-
dc.subject.keywordAuthorLens-free imaging-
dc.subject.keywordAuthormicro particle-
dc.subject.keywordAuthorSmarphone-
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