About: Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection     Goto   Sponge   NotDistinct   Permalink

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  • The identification of eukaryotic genes involved in virus entry and replication is important for understanding viral infection. Our goal is to develop a siRNA-based screening system using cell arrays and high-throughput (HT) fluorescence microscopy. A central issue is efficient, robust, and automated single-cell-based analysis of massive image datasets. We have developed an image analysis approach that comprises (i) a novel, gradient-based thresholding scheme for cell nuclei segmentation which does not require subsequent postprocessing steps for separation of clustered nuclei, (ii) quantification of the virus signal in the neighborhood of cell nuclei, (iii) localization of regions with transfected cells by combining model-based circle fitting and grid fitting, (iv) cell classification as infected or noninfected, and (v) image quality control (e.g., identification of out-of-focus images).
  • The identification of eukaryotic genes involved in virus entry and replication is important for understanding viral infection. Our goal is to develop a siRNA-based screening system using cell arrays and high-throughput (HT) fluorescence microscopy. A central issue is efficient, robust, and automated single-cell-based analysis of massive image datasets. We have developed an image analysis approach that comprises (i) a novel, gradient-based thresholding scheme for cell nuclei segmentation which does not require subsequent postprocessing steps for separation of clustered nuclei, (ii) quantification of the virus signal in the neighborhood of cell nuclei, (iii) localization of regions with transfected cells by combining model-based circle fitting and grid fitting, (iv) cell classification as infected or noninfected, and (v) image quality control (e.g., identification of out-of-focus images). (en)
Title
  • Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection
  • Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection (en)
skos:prefLabel
  • Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection
  • Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection (en)
skos:notation
  • RIV/00216224:14330/09:00034133!RIV10-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(2B06052)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 341423
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/09:00034133
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image analysis; cell nucleus segmentation; quantification of viral infection; siRNA screening; cell-based arrays; immunofluorescence microscopy; image quality control (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [32E160A875B1]
http://linked.open...i/riv/nazevZdroje
  • Cytometry Part A
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 75A
http://linked.open...iv/tvurceVysledku
  • Matula, Petr
  • Bartenschlager, Ralf
  • Eils, Roland
  • Kumar, Anil
  • Rohr, Karl
  • Erfle, Holger
  • Wörz, Ilka
http://linked.open...ain/vavai/riv/wos
  • 000264513800005
issn
  • 1552-4922
number of pages
http://localhost/t...ganizacniJednotka
  • 14330
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