Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 10 von 828

Details

Autor(en) / Beteiligte
Titel
Integration of Fluorescence Detection and Image-Based Automated Counting Increases Speed, Sensitivity, and Robustness of Plaque Assays
Ist Teil von
  • Molecular therapy. Methods & clinical development, 2019-09, Vol.14, p.270-274
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2019
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • Plaque assays are used to measure the infectious titer of viral samples. These assays are multi-day and low-throughput and may be subject to analyst variability from biased or subjective manual plaque counting. Typically, on day 1, cells are adhered to plates overnight. On day 2, cells are infected with virus. After 3 additional days, plaques are fixed, stained with a horseradish peroxidase (HRP)-conjugated antibody and a HRP substrate, and counted by eye. Manual-based visual counting of plaques is time-consuming and laborious and may be subject to variability between analysts. Also, the assay must proceed for several days to allow the plaques to increase to sufficiently large sizes for manual identification. Here, we integrate fluorescent detection and automated plaque counting to increase the sensitivity and speed of the assay. First, we stain plaques with a fluorescent-labeled antibody. Second, we implement a plate-based cell imager to perform non-biased, non-subjective plaque counting. The integration of these two technologies decreases the assay length by 40%, from 5 days to 3 days, because plaque size, plaque signal to noise, and manual visualization are no longer limiting. This optimized plaque assay is sensitive, fast, and robust and expands the throughput and usage of this method for measuring plaque formation.
Sprache
Englisch
Identifikatoren
ISSN: 2329-0501
eISSN: 2329-0501
DOI: 10.1016/j.omtm.2019.07.007
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6717064

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX