Li, Kai and Skivens, Samantha and Green, J Edward F and Tam, Alexander KY and Pentland, Daniel R and Baumann, Hella and Gourlay, Campbell W and Binder, Benjamin J and Laissue, Philippe P (2026) A quantitative framework for multiscale analysis of Candida albicans biofilm development. Biofilm, 11. p. 100356. DOI https://doi.org/10.1016/j.bioflm.2026.100356
Li, Kai and Skivens, Samantha and Green, J Edward F and Tam, Alexander KY and Pentland, Daniel R and Baumann, Hella and Gourlay, Campbell W and Binder, Benjamin J and Laissue, Philippe P (2026) A quantitative framework for multiscale analysis of Candida albicans biofilm development. Biofilm, 11. p. 100356. DOI https://doi.org/10.1016/j.bioflm.2026.100356
Li, Kai and Skivens, Samantha and Green, J Edward F and Tam, Alexander KY and Pentland, Daniel R and Baumann, Hella and Gourlay, Campbell W and Binder, Benjamin J and Laissue, Philippe P (2026) A quantitative framework for multiscale analysis of Candida albicans biofilm development. Biofilm, 11. p. 100356. DOI https://doi.org/10.1016/j.bioflm.2026.100356
Abstract
Candida albicans is an opportunistic fungal pathogen of significant biomedical concern. Its ability to colonize abiotic surfaces of clinical devices — such as catheters and airway management systems — can result in life-threatening sepsis, especially in immunocompromised patients. A deeper understanding of C. albicans biofilm development under different environmental conditions is essential for improving antifungal treatments. In this study, we develop and validate a multiscale quantitative framework for analysing biofilm development. We examine C. albicans biofilm formation using live fluorescence microscopy across multiple scales and modalities, and introduce new quantification approaches. High-magnification tracking of hyphal tips reveals that hyphal elongation occurs intermittently rather than continuously. Using a new automated tracking approach, we show that hyphal emergence is initially rapid, slows down after approximately two hours, then speeds up again. At lower magnifications, area coverage across large fields of view proves to be a robust and scalable metric. It is strongly influenced by seed density and extends analysis to later stages of growth. Elevated carbon dioxide levels significantly accelerate area coverage, promoting rapid biofilm expansion. Blue light illumination reduces C. albicans growth in a dose-dependent manner. Light-sheet imaging enables the long-term capture of vertical biofilm growth, complementing widefield-based approaches. We introduce logistic model parameters to effectively quantify the dynamics of surface area growth. The methodologies presented here are well-suited for high-content screening applications aimed at identifying compounds that inhibit or suppress fungal biofilm formation under clinically relevant conditions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | C. albicans biofilms; Fluorescence microscopy; Image-based quantification; Live-cell imaging; Multi-scale analysis |
| 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: | 16 Sep 2026 13:40 |
| Last Modified: | 16 Sep 2026 13:41 |
| URI: | http://repository.essex.ac.uk/id/eprint/42907 |
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