Enabling Stem Cell Characterization from Large Microscopy Images.
Microscopes can now cover large spatial areas and capture stem cell behavior over time. However, without discovering statistically reliable quantitative stem cell quality measures, products cannot be released to market. A Web-based measurement system overcomes desktop limitations by leveraging cloud...
| Publicado en: | Computer (00189162) Vol. 49; no. 7; pp. 70 - 80 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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IEEE
Jul2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=116697848&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 116697848 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Jul2016 vid: 49 iid: 7 pid: 13605 pub: IEEE artinfo: ui: 116697848 10.1109/MC.2016.191 ppf: 70 ppct: 10 formats: tig: atl: Enabling Stem Cell Characterization from Large Microscopy Images. aug: au: Bajcsy, Peter Vandecreme, Antoine Amelot, Julien Chalfoun, Joe Majurski, Michael Brady, Mary affil: National Institute of Standards and Technology su: Stem cell research Cell imaging Microscopy Measurement Cloud computing Computer workstation clusters sug: subj: Stem cell research Cell imaging Microscopy Measurement Cloud computing Computer workstation clusters keyword: Algorithm design and analysis biological computing cell imaging cluster computing Clustering algorithms collaborative work Deep Zoom extensions Inspection interactive measurement large-coverage microscopy scientific algorithms scientific computing stem cell evaluation Stem cells Three-dimensional displays visualization ab: Microscopes can now cover large spatial areas and capture stem cell behavior over time. However, without discovering statistically reliable quantitative stem cell quality measures, products cannot be released to market. A Web-based measurement system overcomes desktop limitations by leveraging cloud and cluster computing for offline computations and by using Deep Zoom extensions for interactive viewing and measurement. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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