Rxivist logo

BiofilmQ, a software tool for quantitative image analysis of microbial biofilm communities

By Raimo Hartmann, Hannah Jeckel, Eric Jelli, Praveen K Singh, Sanika Vaidya, Miriam Bayer, Lucia Vidakovic, Francisco Díaz-Pascual, Jiunn C.N. Fong, Anna Dragoš, Olga Besharova, Carey D. Nadell, Victor Sourjik, Ákos T. Kovács, Fitnat H. Yildiz, Knut Drescher

Posted 15 Aug 2019
bioRxiv DOI: 10.1101/735423

Biofilms are now considered to be the most abundant form of microbial life on Earth, playing critical roles in biogeochemical cycles, agriculture, and health care. Phenotypic and genotypic variations in biofilms generally occur in three-dimensional space and time, and biofilms are therefore often investigated using microscopy. However, the quantitative analysis of microscopy images presents a key obstacle in phenotyping biofilm communities and single-cell heterogeneity inside biofilms. Here, we present BiofilmQ, a comprehensive image cytometry software tool for the automated high-throughput quantification and visualization of 3D and 2D community properties in space and time. Using BiofilmQ does not require prior knowledge of programming or image processing and provides a user-friendly graphical user interface, resulting in editable publication-quality figures. BiofilmQ is designed for handling fluorescence images of any spatially structured microbial community and growth geometry, including microscopic, mesoscopic, macroscopic colonies and aggregates, as well as bacterial biofilms in the context of eukaryotic hosts.

Download data

  • Downloaded 993 times
  • Download rankings, all-time:
    • Site-wide: 9,548 out of 77,629
    • In microbiology: 460 out of 6,437
  • Year to date:
    • Site-wide: 3,002 out of 77,629
  • Since beginning of last month:
    • Site-wide: 4,900 out of 77,629

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News