Publication: Fast and flexible processing of large FRET image stacks using the FRET-IBRA toolkit
Fast and flexible processing of large FRET image stacks using the FRET-IBRA toolkit
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Munglani, G., Vogler, H., & Grossniklaus, U. (2022). Fast and flexible processing of large FRET image stacks using the FRET-IBRA toolkit. PLoS Computational Biology, 18(4), 1009242. https://doi.org/10.1371/journal.pcbi.1009242
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Ratiometric time-lapse FRET analysis requires a robust and accurate processing pipeline to eliminate bias in intensity measurements on fluorescent images before further quantitative analysis can be conducted. This level of robustness can only be achieved by supplementing automated tools with built-in flexibility for manual ad-hoc adjustments. FRET-IBRA is a modular and fully parallelized configuration file-based tool written in Python. It simplifies the FRET processing pipeline to achieve accurate, registered, and unified ratio image
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- Munglani, Gautam
- Vogler, Hannes
- Grossniklaus, Ueli
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Munglani, G., Vogler, H., & Grossniklaus, U. (2022). Fast and flexible processing of large FRET image stacks using the FRET-IBRA toolkit. PLoS Computational Biology, 18(4), 1009242. https://doi.org/10.1371/journal.pcbi.1009242
