Oufti: an integrated software package for high-accuracy, high-throughput quantitative microscopy analysis
| Autor: | Manuel Campos, Ahmad Paintdakhi, Johan Elf, Christine Jacobs-Wagner, Irnov Irnov, Ivan V. Surovtsev, Bradley Parry |
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| Rok vydání: | 2015 |
| Předmět: |
0301 basic medicine
business.industry Integrated software ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Biology Bioinformatics Microbiology Subpixel rendering 03 medical and health sciences 030104 developmental biology Software Quantitative Microscopy Scalability business Molecular Biology Throughput (business) Computer hardware Graphical user interface |
| Zdroj: | Molecular Microbiology. 99:767-777 |
| ISSN: | 0950-382X |
| DOI: | 10.1111/mmi.13264 |
| Popis: | With the realization that bacteria display phenotypic variability among cells and exhibit complex subcellular organization critical for cellular function and behavior, microscopy has re-emerged as a primary tool in bacterial research during the last decade. However, the bottleneck in today's single-cell studies is quantitative image analysis of cells and fluorescent signals. Here, we address current limitations through the development of Oufti, a stand-alone, open-source software package for automated measurements of microbial cells and fluorescence signals from microscopy images. Oufti provides computational solutions for tracking touching cells in confluent samples, handles various cell morphologies, offers algorithms for quantitative analysis of both diffraction and non-diffraction-limited fluorescence signals and is scalable for high-throughput analysis of massive datasets, all with subpixel precision. All functionalities are integrated in a single package. The graphical user interface, which includes interactive modules for segmentation, image analysis and post-processing analysis, makes the software broadly accessible to users irrespective of their computational skills. |
| Databáze: | OpenAIRE |
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