Automated Measurement of Cobblestone Morphology for Characterizing Stem Cell Derived Retinal Pigment Epithelial Cell Cultures.
Purpose: Assessing the morphologic properties of cells in microscopy images is an important task to evaluate cell health, identity, and purity. Typically, subjective visual assessments are accomplished by an experienced researcher. This subjective human step makes transfer of the evaluation process...
| Publicado en: | Journal of Ocular Pharmacology & Therapeutics Vol. 32; no. 5; pp. 331 - 340 |
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| Autores principales: | , , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
6/1/2016
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| 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=116288906&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116288906 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10807683 2U7 jtl: Journal of Ocular Pharmacology & Therapeutics issn: 10807683 maglogo: N pubinfo: dt: 6/1/2016 vid: 32 iid: 5 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 116288906 116288906 NLM27191513 116288906 10.1089/jop.2015.0163 NLM27191513 PMC4904233 [Available on 06/01/17] 116288906 ppf: 331 ppct: 9 formats: tig: atl: Automated Measurement of Cobblestone Morphology for Characterizing Stem Cell Derived Retinal Pigment Epithelial Cell Cultures. aug: au: Joshi, Rohini Mankowski, Walter Winter, Mark Saini, Janmeet S. Blenkinsop, Timothy A. Stern, Jeffrey H. Temple, Sally Cohen, Andrew R. affil: Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania sug: subj: Stem Cells Cell Physiology Cell Culture Techniques Image Interpretation, Computer Assisted Methods Automation Information Science Methods Algorithms Cells, Cultured Funding Source Human ab: Purpose: Assessing the morphologic properties of cells in microscopy images is an important task to evaluate cell health, identity, and purity. Typically, subjective visual assessments are accomplished by an experienced researcher. This subjective human step makes transfer of the evaluation process from the laboratory to the cell manufacturing facility difficult and time consuming.Methods: Automated image analysis can provide rapid, objective measurements of cultured cells, greatly aiding manufacturing, regulatory, and research goals. Automated algorithms for classifying images based on appearance characteristics typically either extract features from the image and use those features for classification or use the images directly as input to the classification algorithm. In this study we have developed both feature and nonfeature extraction methods for automatically measuring "cobblestone" structure in human retinal pigment epithelial (RPE) cell cultures.Results: A new approach using image compression combined with a Kolmogorov complexity-based distance metric enables robust classification of microscopy images of RPE cell cultures. The automated measurements corroborate determinations made by experienced cell biologists. We have also developed an approach for using steerable wavelet filters for extracting features to characterize the individual cellular junctions.Conclusions: Two image analysis techniques enable robust and accurate characterization of the cobblestone morphology that is indicative of viable RPE cultures for therapeutic applications. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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