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Image-based quantification of Candida albicans filamentation and hyphal length using the open-source visual

Jan-Philipp Praetorius1, Sophia U J Hitzler2, Mark S Gresnigt2

  • 1Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute (HKI), 07745 Jena, Germany.

FEMS Yeast Research
|March 14, 2025
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Summary

We developed an automated JIPipe analysis pipeline for Candida albicans hyphal growth, enabling efficient, high-throughput measurement. Human serum albumin surprisingly reduces filamentous growth, contrary to expectations.

Keywords:
filamentous growthhyphal lengthimage analysisinfection biologylabel-freemicroscopyquantitative imagingvisual programming

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Area of Science:

  • Medical Mycology
  • Computational Biology
  • Biophysics

Background:

  • Hyphal formation is a key virulence factor for the human pathogenic fungus Candida albicans.
  • Analyzing hyphal growth is crucial for understanding C. albicans adaptation but is traditionally manual, laborious, and subjective.
  • High-throughput live-cell imaging generates vast data, necessitating automated analysis methods.

Purpose of the Study:

  • To develop and validate an automated image analysis pipeline for Candida albicans hyphal growth using JIPipe.
  • To enable accurate, efficient, and high-throughput quantification of hyphal length and differentiation.
  • To investigate the effect of human serum albumin (HSA) on C. albicans filamentation.

Main Methods:

  • Development of an automated image analysis workflow in Java Image Processing Pipeline (JIPipe).
  • Comparative analysis of the automated method against manual measurements for accuracy and reliability.
  • Application of the JIPipe pipeline to assess hyphal growth of C. albicans strains exposed to human serum albumin (HSA).

Main Results:

  • The JIPipe pipeline accurately differentiates between yeast and hyphal forms of C. albicans.
  • Automated analysis provides efficient, high-throughput measurement of individual hyphal lengths.
  • Exposure to HSA, despite stimulating fungal growth, significantly reduced filamentation in C. albicans.

Conclusions:

  • The automated JIPipe pipeline offers a time-efficient and user-friendly solution for analyzing C. albicans hyphal growth.
  • This tool addresses the need for high-throughput analysis in live-cell imaging studies of fungal virulence.
  • Findings reveal a novel inhibitory effect of HSA on C. albicans filamentous growth, impacting virulence studies.