Orcid Publication

Detalle de: FlowScatt: enabling volume-independent flow cytometry data by decoupling fluorescence from scattering

Title FlowScatt: enabling volume-independent flow cytometry data by decoupling fluorescence from scattering
Abstract

Motivation Measuring fluorescence by flow cytometry is fundamental for characterising single-cell performance. While it is known that fluorescence and scattering values tend to positively correlate, the impact of cell volume on fluorescence is typically overlooked. This makes of fluorescence values alone an inaccurate measurement for high-precision characterisations. Results We developed FlowScatt, an open-source software package that removes volume-dependency in the fluorescence channel. Using FlowScatt, flourescence values are re-calculated based on the unified volume per cell that arises from scattering decomposition. Availability FlowScatt is openly available as a Python package on https://github.com/rstoof/FlowScatt . Experimental data for validation is available online. Contact angel.goni-moreno@newcastle.ac.uk

Source: Crossref

Apa Reference Stoof, R., Grozinger, L., Tas, H. & Goñi-Moreno, Á. (2020). FlowScatt: enabling volume-independent flow cytometry data by decoupling fluorescence from scattering. 10.1101/2020.07.23.217869
Doi 10.1101/2020.07.23.217869
Publication Date 24 Jul 2020
Publication Type Preprint
Ontology Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Single-cell omics
Researchers Ángel Goñi Moreno
Research Groups
Tools

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