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Spotsizer: High-throughput quantitative analysis of microbial growth.
Bischof, Leanne; Prevorovský, Martin; Rallis, Charalampos; Jeffares, Daniel C; Arzhaeva, Yulia; Bähler, Jürg.
Afiliación
  • Bischof L; CSIRO Digital Productivity, North Ryde, Australia.
  • Prevorovský M; Department of Cell Biology, Charles University in Prague, Faculty of Science, Prague, Czech Republic.
  • Rallis C; Department of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, London, UK.
  • Jeffares DC; Department of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, London, UK.
  • Arzhaeva Y; Department of Genetics, Evolution and Environment and Institute of Healthy Ageing, University College London, London, UK.
  • Bähler J; CSIRO Digital Productivity, North Ryde, Australia.
Biotechniques ; 61(4): 191-201, 2016 10 01.
Article en En | MEDLINE | ID: mdl-27712582
ABSTRACT
Microbial colony growth can serve as a useful readout in assays for studying complex genetic interactions or the effects of chemical compounds. Although computational tools for acquiring quantitative measurements of microbial colonies have been developed, their utility can be compromised by inflexible input image requirements, non-trivial installation procedures, or complicated operation. Here, we present the Spotsizer software tool for automated colony size measurements in images of robotically arrayed microbial colonies. Spotsizer features a convenient graphical user interface (GUI), has both single-image and batch-processing capabilities, and works with multiple input image formats and different colony grid types. We demonstrate how Spotsizer can be used for high-throughput quantitative analysis of fission yeast growth. The user-friendly Spotsizer tool provides rapid, accurate, and robust quantitative analyses of microbial growth in a high-throughput format. Spotsizer is freely available at https//data.csiro.au/dap/landingpage?pid=csiro15330 under a proprietary CSIRO license.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Schizosaccharomyces / Procesamiento de Imagen Asistido por Computador / Programas Informáticos / Ensayos Analíticos de Alto Rendimiento Idioma: En Revista: Biotechniques Año: 2016 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Schizosaccharomyces / Procesamiento de Imagen Asistido por Computador / Programas Informáticos / Ensayos Analíticos de Alto Rendimiento Idioma: En Revista: Biotechniques Año: 2016 Tipo del documento: Article País de afiliación: Australia
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