Automated segmentation of comet assay images using Gaussian filtering and fuzzy clustering.
Comet assay is one of the most popular tests for the detection of DNA damage at single cell level. In this study, an algorithm for comet assay analysis has been proposed, aiming to minimize user interaction and providing reproducible measurements. The algorithm comprises two-steps: (a) comet identif...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 50; no. 5; pp. 523 - 533 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2012
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104558672&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104558672 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2012 vid: 50 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104558672 NLM22402889 2011535465 10.1007/s11517-012-0882-z NLM22402889 104558672 ppf: 523 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Automated segmentation of comet assay images using Gaussian filtering and fuzzy clustering. aug: au: Sansone M Zeni O Esposito G Sansone, Mario Zeni, Olga Esposito, Giovanni affil: University of Naples "Federico II", Via Claudio 21, 80100 Naples, Italy sug: subj: Electrophoresis, Agar Gel Methods DNA Logic Algorithms Human Image Processing, Computer Assisted Methods Leukocytes Drug Effects Alkanes Pharmacodynamics Microscopy Methods Mutagens Pharmacodynamics ab: Comet assay is one of the most popular tests for the detection of DNA damage at single cell level. In this study, an algorithm for comet assay analysis has been proposed, aiming to minimize user interaction and providing reproducible measurements. The algorithm comprises two-steps: (a) comet identification via Gaussian pre-filtering and morphological operators; (b) comet segmentation via fuzzy clustering. The algorithm has been evaluated using comet images from human leukocytes treated with a commonly used DNA damaging agent. A comparison of the proposed approach with a commercial system has been performed. Results show that fuzzy segmentation can increase overall sensitivity, giving benefits in bio-monitoring studies where weak genotoxic effects are expected. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|