Bischof, Leanne and Převorovský, Martin and Rallis, Charalampos and Jeffares, Daniel C and Arzhaeva, Yulia and Bähler, Jürg (2016) Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 61 (4). pp. 191-201. DOI https://doi.org/10.2144/000114459
Bischof, Leanne and Převorovský, Martin and Rallis, Charalampos and Jeffares, Daniel C and Arzhaeva, Yulia and Bähler, Jürg (2016) Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 61 (4). pp. 191-201. DOI https://doi.org/10.2144/000114459
Bischof, Leanne and Převorovský, Martin and Rallis, Charalampos and Jeffares, Daniel C and Arzhaeva, Yulia and Bähler, Jürg (2016) Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 61 (4). pp. 191-201. DOI https://doi.org/10.2144/000114459
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=csiro:15330 under a proprietary CSIRO license.
Item Type: | Article |
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Uncontrolled Keywords: | Schizosaccharomyces; Algorithms; Image Processing, Computer-Assisted; Software; High-Throughput Screening Assays |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 18 Jun 2021 15:16 |
Last Modified: | 30 Oct 2024 17:32 |
URI: | http://repository.essex.ac.uk/id/eprint/26701 |
Available files
Filename: apotsizer.pdf
Licence: Creative Commons: Attribution 3.0